National Library of Energy BETA

Sample records for fields estimated production

  1. State Energy Production Estimates

    Annual Energy Outlook

    Production Estimates 1960 Through 2014 2014 Summary Tables U.S. Energy Information Administration | State Energy Data 2014: Production 1 Table P1. Energy Production Estimates in ...

  2. State Energy Production Estimates

    Energy Information Administration (EIA) (indexed site)

    Energy Production Estimates 1960 Through 2012 2012 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2012 Alabama 19,455 215,710 9,525 0 Alaska 2,052 351,259...

  3. Weekly Coal Production Estimation Methodology

    Energy Information Administration (EIA) (indexed site)

    Weekly Coal Production Estimation Methodology Step 1 (Estimate total amount of weekly U.S. coal production) U.S. coal production for the current week is estimated using a ratio estimation from the given equation below; ̂ () = () × × { + ( - )} (1) ℎ ̂ () =

  4. Adjusted Estimates of Texas Natural Gas Production

    Reports and Publications

    2005-01-01

    The Energy Information Administration (EIA) is adjusting its estimates of natural gas production in Texas for 2004 and 2005 to correctly account for carbon dioxide (CO2) production.

  5. Methodology for Monthly Crude Oil Production Estimates

    Energy Information Administration (EIA) (indexed site)

    015 U.S. Energy Information Administration | Methodology for Monthly Crude Oil Production Estimates 1 Methodology for Monthly Crude Oil Production Estimates Executive summary The U.S. Energy Information Administration (EIA) relies on data from state and other federal agencies and does not currently collect survey data directly from crude oil producers. Summarizing the estimation process in terms of percent of U.S. production: * 20% is based on state agency data, including North Dakota and

  6. New Methodology for Natural Gas Production Estimates

    Reports and Publications

    2010-01-01

    A new methodology is implemented with the monthly natural gas production estimates from the EIA-914 survey this month. The estimates, to be released April 29, 2010, include revisions for all of 2009. The fundamental changes in the new process include the timeliness of the historical data used for estimation and the frequency of sample updates, both of which are improved.

  7. How EIA Estimates Natural Gas Production

    Reports and Publications

    2004-01-01

    The Energy Information Administration (EIA) publishes estimates monthly and annually of the production of natural gas in the United States. The estimates are based on data EIA collects from gas producing states and data collected by the U. S. Minerals Management Service (MMS) in the Department of Interior. The states and MMS collect this information from producers of natural gas for various reasons, most often for revenue purposes. Because the information is not sufficiently complete or timely for inclusion in EIA's Natural Gas Monthly (NGM), EIA has developed estimation methodologies to generate monthly production estimates that are described in this document.

  8. Hydrogen Production Cost Estimate Using Biomass Gasification...

    Energy.gov [DOE] (indexed site)

    2011 and the technical potential of Hydrogen Production Cost Estimate Using Biomass Gasification The Panel reviewed the current H2A case (Version 2.12, Case 01D) for hydrogen ...

  9. Florida Dry Natural Gas Reserves Estimated Production (Billion...

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Florida Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production Florida Dry Natural Gas Proved Reserves Dry ...

  10. West Virginia Dry Natural Gas Reserves Estimated Production ...

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) West Virginia Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production West Virginia Dry Natural Gas Proved ...

  11. Virginia Dry Natural Gas Reserves Estimated Production (Billion...

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Virginia Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production Virginia Dry Natural Gas Proved Reserves Dry ...

  12. New York Dry Natural Gas Reserves Estimated Production (Billion...

    Gasoline and Diesel Fuel Update

    Estimated Production (Billion Cubic Feet) New York Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production New York Dry Natural Gas Proved Reserves Dry ...

  13. New Mexico Dry Natural Gas Reserves Estimated Production (Billion...

    Gasoline and Diesel Fuel Update

    Estimated Production (Billion Cubic Feet) New Mexico Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production New Mexico Dry Natural Gas Proved Reserves ...

  14. North Dakota Dry Natural Gas Reserves Estimated Production (Billion...

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) North Dakota Dry Natural Gas Reserves Estimated ... Dry Natural Gas Reserves Estimated Production North Dakota Dry Natural Gas Proved Reserves ...

  15. Production Hydraulic Packer Field Test

    SciTech Connect

    Schneller, Tricia; Salas, Jose

    2000-06-30

    In October 1999, the Rocky Mountain Oilfield Testing Center and Halliburton Energy Services cooperated on a field test of Halliburton's new Production Hydraulic Packer technology on Well 46-TPX-10 at Naval Petroleum Reserve No. 3 near Casper, WY. Performance of the packer was evaluated in set and unset operations. The packer's ability to seal the annulus between the casing and tubing was hydraulically tested and the results were recorded.

  16. Estimating Motor Efficiency in the Field | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Estimating Motor Efficiency in the Field Estimating Motor Efficiency in the Field Some utility companies and public agencies offer rebates to encourage customers to upgrade their existing standard efficiency motors to premium efficiency motors. It is important to know the efficiency of the existing motor and how it is being used to accurately estimate potential annual energy and dollar savings. This tip sheet provides suggested actions and estimates of savings from improved efficiency. Motor

  17. ARM Climate Modeling Best Estimate Data - A new data product...

    Office of Scientific and Technical Information (OSTI)

    ARM Climate Modeling Best Estimate Data - A new data product for climate modelers Citation Details In-Document Search Title: ARM Climate Modeling Best Estimate Data - A new data ...

  18. Production optimization in the Provincia field, Colombia

    SciTech Connect

    Blann, J.; Jacobson, L.; Faber, C.

    1989-02-01

    Designing or redesigning production facilities for optimum operation usually results in the generation of maximum profit from an installation. But in older fields, or fields where a short life is expected, design changes may not be a viable option. In such cases, obtaining maximum production within the limits of existing facilities, thereby minimizing new investments, may be an attractive option. This paper discusses application of the latter technique in the Provincia field, Colombia, to optimize oil and gas production within constraints imposed by periodic temporary gas-compression-capacity restrictions and by the configuration of existing oil and gas facilities. The multistep optimization program used at Provincia included improvement of individual well performance, optimization of individual well facilities, fieldwide optimization of surface facilities, and optimization of the field production scheme.

  19. Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Direct Hydrogen PEM Fuel Cell Systems for Transportation Applications: 2012 Update Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell Systems for Transportation ...

  20. ARM - PI Product - Climate Modeling Best Estimate (CMBE)

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    govDataPI Data ProductsClimate Modeling Best Estimate (CMBE) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send PI Product : Climate Modeling Best Estimate (CMBE) The ARM Climate Modeling Best Estimate (CMBE) product is now available as ARM Best Estimate products (ARMBE). Please refer to the Data Directory link below to access ARMBE data. Data Details Contact Shaocheng Xie Lawrence Livermore National Laboratory

  1. Comparison of Permian basin giant oil fields with giant oil fields of other U. S. productive areas

    SciTech Connect

    Haeberle, F.R. )

    1992-04-01

    Covering over 40 million ac, the Permian basin is the fourth largest of the 28 productive areas containing giant fields. The 56 giant fields in the basin compare with the total of 264 giant oil fields in 27 other productive areas. Cumulative production figures of 18 billion bbl from the giant fields in the Permian basin are the largest cumulative production figures from giant fields in any of the productive areas. An estimated 1.9 billion bbl of remaining reserves in giant fields rank the basin third among these areas and the 19.9 billion bbl total reserves in giant fields in the basin are the largest total reserves in giant fields in any of the productive areas. The 1990 production figures from giant fields place the basin second in production among areas with giant fields. However, converting these figures to by-basin averages for the giant fields places the Permian basin 12th in field size among the areas with giant fields. Based on average reserves per well, the basin ranks 18th. Average 1990 production per giant field place the basin seventh and the average 1990 production per well in giant fields place the Permian basin 14th among the areas with giant fields.

  2. ARM - Evaluation Product - Radiatively Important Parameters Best Estimate

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    (RIPBE) ProductsRadiatively Important Parameters Best Estimate (RIPBE) ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Radiatively Important Parameters Best Estimate (RIPBE) The Radiatively Important Parameters Best Estimate (RIPBE) VAP combines multiple input datastreams, each with their own temporal

  3. Hydrogen Production Cost Estimate Using Biomass Gasification: Independent

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Review | Department of Energy Cost Estimate Using Biomass Gasification: Independent Review Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review This independent review is the conclusion arrived at from data collection, document reviews, interviews and deliberation from December 2010 through April 2011 and the technical potential of Hydrogen Production Cost Estimate Using Biomass Gasification The Panel reviewed the current H2A case (Version 2.12, Case 01D) for

  4. Charm production in a strong magnetic field

    SciTech Connect

    Machado, C. S.; Navarra, F. S.; Noronha, J.; Oliveira, E. G. de; Strickland, M.

    2014-11-11

    We discuss the effects of a strong magnetic field on B and D mesons, focusing on the changes of the energy levels and the masses of the bound states. Using the Color Evaporation Model we discuss the possible changes in the production of J/? and ?. We briefly comment the recent experimental data.

  5. Field Testing of Pre-Production Prototype Residential Heat Pump...

    Energy Saver

    Field Testing of Pre-Production Prototype Residential Heat Pump Water Heaters Field Testing of Pre-Production Prototype Residential Heat Pump Water Heaters Provides and overview of ...

  6. ARM - Evaluation Product - Climate Modeling Best Estimate (CMBE...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ProductsClimate Modeling Best Estimate (CMBE) Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you...

  7. ARM - Evaluation Product - Quantitative Precipitation Estimates (QPE) from

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    the CSAPR ProductsQuantitative Precipitation Estimates (QPE) from the CSAPR ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : Quantitative Precipitation Estimates (QPE) from the CSAPR Precipitation rates from cloud systems can give a fundamental insight into the processes occurring in-cloud. While rain

  8. Pennsylvania Dry Natural Gas Reserves Estimated Production (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) Estimated Production (Billion Cubic Feet) Pennsylvania Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 52 69 117 1980's 68 94 102 121 134 123 116 128 162 136 1990's 160 140 139 138 141 113 132 129 131 130 2000's 117 114 133 165 155 181 176 183 211 273 2010's 591 1,248 2,241 3,283 4,197 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  9. Mississippi Dry Natural Gas Reserves Estimated Production (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) Estimated Production (Billion Cubic Feet) Mississippi Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 88 121 154 1980's 170 196 198 159 181 151 165 178 181 155 1990's 141 143 109 111 82 91 88 93 79 79 2000's 78 94 98 94 93 86 83 100 110 100 2010's 87 75 64 61 54 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  10. Montana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Montana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 49 44 47 1980's 61 86 45 49 46 49 42 42 60 43 1990's 48 48 52 50 49 51 52 55 51 41 2000's 67 73 77 86 95 100 117 112 114 113 2010's 93 75 65 62 58 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015

  11. Louisiana - South Onshore Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Louisiana - South Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 48 2010's 47 47 47 47 46 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  12. Louisiana Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Louisiana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 68 2010's 66 68 70 71 69 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  13. Louisiana State Offshore Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Louisiana State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 9 2010's 9 10 11 11 10 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages:

  14. Louisiana State Offshore Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Louisiana State Offshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 407 188 200 196 195 1990's 145 127 117 137 144 152 177 161 128 117 2000's 127 158 122 126 99 68 83 86 95 83 2010's 74 49 84 66 52 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  15. Lower 48 States Crude Oil + Lease Condensate Estimated Production from

    Energy Information Administration (EIA) (indexed site)

    Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Lower 48 States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1,719 2010's 1,796 1,859 2,195 2,543 3,018 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  16. Michigan Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Michigan Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 6 2010's 6 6 7 7 8 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  17. Miscellaneous States Crude Oil + Lease Condensate Estimated Production from

    Energy Information Administration (EIA) (indexed site)

    Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Miscellaneous States Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2 2010's 2 2 3 3 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus

  18. Miscellaneous States Dry Natural Gas Reserves Estimated Production (Billion

    Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Estimated Production (Billion Cubic Feet) Miscellaneous States Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 11 12 11 1980's 18 15 7 8 7 11 6 7 10 7 1990's 7 7 6 10 10 11 6 3 3 3 2000's 6 5 7 12 8 18 10 14 20 30 2010's 16 24 14 12 11 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  19. Mississippi Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Mississippi Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 24 2010's 24 24 28 24 25 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  20. Montana Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Montana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 29 2010's 25 24 27 30 30 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  1. Nebraska Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Nebraska Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2 2010's 2 3 3 3 3 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  2. New Mexico - East Crude Oil + Lease Condensate Estimated Production from

    Energy Information Administration (EIA) (indexed site)

    Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) New Mexico - East Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 58 2010's 63 70 83 98 117 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil

  3. New Mexico - East Dry Natural Gas Reserves Estimated Production (Billion

    Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Estimated Production (Billion Cubic Feet) New Mexico - East Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 604 553 596 1980's 515 531 498 424 439 429 325 382 359 396 1990's 392 424 437 456 466 418 432 418 427 491 2000's 447 518 526 507 516 522 480 462 459 454 2010's 392 377 404 447 464 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  4. New Mexico - West Crude Oil + Lease Condensate Estimated Production from

    Energy Information Administration (EIA) (indexed site)

    Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) New Mexico - West Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2 2010's 2 2 3 4 7 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus

  5. New Mexico - West Dry Natural Gas Reserves Estimated Production (Billion

    Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Estimated Production (Billion Cubic Feet) New Mexico - West Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 523 546 553 1980's 549 555 444 375 417 414 303 346 372 364 1990's 495 589 706 881 896 979 991 1,129 1,022 1,048 2000's 1,061 1,018 998 908 1,011 971 946 887 890 896 2010's 828 793 765 708 710 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  6. Alabama Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Alabama Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 24 42 46 1980's 64 85 1990's 104 146 256 281 391 360 373 376 394 376 2000's 359 345 365 350 327 300 287 274 257 254 2010's 223 218 214 175 176 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  7. Alaska Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Alaska Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 206 216 228 1980's 213 235 261 273 324 312 324 349 400 401 1990's 339 353 414 393 423 396 446 475 513 459 2000's 506 461 460 478 478 469 408 388 354 358 2010's 317 327 299 285 304 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  8. Arkansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Arkansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 109 120 100 1980's 117 121 158 206 188 175 123 129 159 166 1990's 164 173 204 188 186 182 200 189 170 163 2000's 154 160 157 166 170 174 188 269 456 698 2010's 951 1,079 1,151 1,140 1,142 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual

  9. California Dry Natural Gas Reserves Estimated Production (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) Estimated Production (Billion Cubic Feet) California Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 301 313 347 1980's 294 372 345 335 306 1990's 293 308 285 252 244 216 217 212 246 266 2000's 282 336 291 265 247 268 255 253 237 239 2010's 243 311 200 188 176 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  10. Alabama Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Alabama Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 7 2010's 7 8 10 10 9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  11. Alaska Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Alaska Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 210 2010's 195 206 191 186 182 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  12. Arkansas Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Arkansas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 6 2010's 5 6 6 4 6 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  13. California Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) California Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 208 2010's 198 196 198 199 203 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  14. California Federal Offshore Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) California Federal Offshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 4 4 5 1980's 5 53 46 37 36 1990's 41 47 48 45 47 47 49 37 37 37 2000's 46 44 46 47 47 33 37 40 36 37 2010's 28 31 22 21 20 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  15. California State Offshore Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) California State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 14 2010's 13 12 13 14 14 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  16. California State Offshore Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) California State Offshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 7 11 11 1980's 10 16 12 11 9 1990's 8 7 10 7 6 6 8 7 8 12 2000's 8 8 7 6 7 7 6 6 3 6 2010's 5 5 5 5 6 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  17. Colorado Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Colorado Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 30 2010's 33 41 52 70 102 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  18. Utah Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Utah Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 62 58 54 1980's 61 79 87 68 76 73 60 60 40 64 1990's 71 81 111 165 184 165 180 177 216 220 2000's 226 288 286 278 282 308 349 365 417 447 2010's 432 449 478 456 433 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  19. Wyoming Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Wyoming Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 51 2010's 53 55 57 64 75 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  20. New Mexico Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) New Mexico Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 60 2010's 65 72 86 102 124 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  1. North Dakota Crude Oil + Lease Condensate Estimated Production from

    Energy Information Administration (EIA) (indexed site)

    Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) North Dakota Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 84 2010's 114 152 251 314 394 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil

  2. Ohio Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Ohio Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 4 2010's 5 4 5 7 14 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  3. Oklahoma Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Oklahoma Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 63 2010's 63 79 85 113 132 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  4. Pennsylvania Crude Oil + Lease Condensate Estimated Production from

    Energy Information Administration (EIA) (indexed site)

    Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Pennsylvania Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2 2010's 3 3 5 6 7 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  5. Texas - RRC District 1 Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 1 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 10 2010's 15 44 112 192 263 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  6. Texas - RRC District 1 Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 1 Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 119 110 124 1980's 112 139 100 87 94 114 116 130 161 206 1990's 161 159 141 112 97 89 86 105 113 107 2000's 86 104 98 100 120 128 109 92 85 82 2010's 113 218 422 678 854 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  7. Texas - RRC District 10 Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 10 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 16 2010's 22 30 40 43 40 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages:

  8. Texas - RRC District 10 Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 10 Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,033 948 896 1980's 854 808 734 621 587 549 489 471 515 515 1990's 492 472 509 470 500 455 457 387 418 408 2000's 386 373 337 338 375 398 450 482 574 553 2010's 569 650 698 686 632 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  9. Texas - RRC District 5 Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 5 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 3 2010's 3 4 5 6 6 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude

  10. Texas - RRC District 6 Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 6 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 18 2010's 18 18 19 19 20 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages:

  11. Texas - RRC District 6 Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 6 Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 252 275 321 1980's 352 365 381 341 402 396 415 395 416 453 1990's 534 522 532 619 596 620 583 599 594 591 2000's 575 644 624 642 683 752 774 896 983 1,004 2010's 1,017 1,079 1,124 1,057 1,002 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  12. Texas - RRC District 8 Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 8 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 121 2010's 158 156 205 228 283 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  13. Texas - RRC District 8 Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 8 Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,401 1,265 1,214 1980's 1,159 1,008 832 713 643 646 619 633 734 654 1990's 663 691 693 660 688 631 583 572 541 559 2000's 547 533 524 484 493 464 480 538 541 545 2010's 549 470 564 662 767 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  14. Texas - RRC District 9 Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 9 Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 15 2010's 17 21 22 21 21 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages:

  15. Texas - RRC District 9 Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 9 Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 108 130 108 1980's 99 119 149 122 130 141 128 112 117 107 1990's 106 104 99 104 100 103 104 106 101 104 2000's 144 185 258 332 412 361 407 519 650 687 2010's 733 613 611 603 616 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  16. Texas Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 401 2010's 460 534 742 931 1,160 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  17. Texas State Offshore Crude Oil + Lease Condensate Estimated Production from

    Energy Information Administration (EIA) (indexed site)

    Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas State Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1 2010's 1 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus

  18. Texas State Offshore Dry Natural Gas Reserves Estimated Production (Billion

    Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Estimated Production (Billion Cubic Feet) Texas State Offshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 282 222 134 110 116 103 1990's 108 110 74 86 73 62 72 77 59 63 2000's 60 65 67 67 65 60 32 33 50 40 2010's 27 21 22 14 10 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015

  19. Kentucky Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Kentucky Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 48 52 49 1980's 60 52 44 38 54 53 56 58 60 65 1990's 62 78 61 66 64 67 58 79 63 59 2000's 67 73 79 78 83 85 66 80 93 108 2010's 96 101 83 81 70 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next

  20. Utah Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Utah Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 23 2010's 25 27 31 36 43 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  1. West Virginia Crude Oil + Lease Condensate Estimated Production from

    Energy Information Administration (EIA) (indexed site)

    Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) West Virginia Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1 2010's 1 2 3 7 9 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease

  2. Florida Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Florida Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1 2010's 2 2 3 2 4 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  3. Illinois Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Illinois Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 5 2010's 4 4 4 3 2 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  4. Indiana Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Indiana Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 1 2010's 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  5. Kansas Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Kansas Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 40 2010's 41 41 43 46 48 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  6. Kentucky Crude Oil + Lease Condensate Estimated Production from Reserves

    Energy Information Administration (EIA) (indexed site)

    (Million Barrels) Estimated Production from Reserves (Million Barrels) Kentucky Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 2 2010's 1 1 1 1 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil plus Lease Condensate

  7. Louisiana - North Crude Oil + Lease Condensate Estimated Production from

    Energy Information Administration (EIA) (indexed site)

    Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Louisiana - North Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 11 2010's 10 11 12 13 13 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Crude Oil

  8. Louisiana - North Dry Natural Gas Reserves Estimated Production (Billion

    Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Estimated Production (Billion Cubic Feet) Louisiana - North Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 317 344 335 1980's 338 402 336 335 362 311 334 316 353 362 1990's 381 366 334 327 328 343 387 424 400 377 2000's 384 390 395 401 453 498 552 553 685 992 2010's 1,721 2,563 2,614 1,899 1,561 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  9. Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review

    SciTech Connect

    Ruth, M.

    2011-10-01

    This independent review is the conclusion arrived at from data collection, document reviews, interviews and deliberation from December 2010 through April 2011 and the technical potential of Hydrogen Production Cost Estimate Using Biomass Gasification. The Panel reviewed the current H2A case (Version 2.12, Case 01D) for hydrogen production via biomass gasification and identified four principal components of hydrogen levelized cost: CapEx; feedstock costs; project financing structure; efficiency/hydrogen yield. The panel reexamined the assumptions around these components and arrived at new estimates and approaches that better reflect the current technology and business environments.

  10. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis ...

  11. U.S. Crude Oil + Lease Condensate Estimated Production from Reserves...

    Energy Information Administration (EIA) (indexed site)

    Estimated Production from Reserves (Million Barrels) U.S. Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 ...

  12. Product component genealogy modeling and field-failure prediction

    DOE PAGES [OSTI]

    King, Caleb; Hong, Yili; Meeker, William Q.

    2016-04-13

    Many industrial products consist of multiple components that are necessary for system operation. There is an abundance of literature on modeling the lifetime of such components through competing risks models. During the life-cycle of a product, it is common for there to be incremental design changes to improve reliability, to reduce costs, or due to changes in availability of certain part numbers. These changes can affect product reliability but are often ignored in system lifetime modeling. By incorporating this information about changes in part numbers over time (information that is readily available in most production databases), better accuracy can bemore » achieved in predicting time to failure, thus yielding more accurate field-failure predictions. This paper presents methods for estimating parameters and predictions for this generational model and a comparison with existing methods through the use of simulation. Our results indicate that the generational model has important practical advantages and outperforms the existing methods in predicting field failures.« less

  13. Cost estimate for muddy water palladium production facility at Mound

    SciTech Connect

    McAdams, R.K.

    1988-11-30

    An economic feasibility study was performed on the ''Muddy Water'' low-chlorine content palladium powder production process developed by Mound. The total capital investment and total operating costs (dollars per gram) were determined for production batch sizes of 1--10 kg in 1-kg increments. The report includes a brief description of the Muddy Water process, the process flow diagram, and material balances for the various production batch sizes. Two types of facilities were evaluated--one for production of new, ''virgin'' palladium powder, and one for recycling existing material. The total capital investment for virgin facilities ranged from $600,000 --$1.3 million for production batch sizes of 1--10 kg, respectively. The range for recycle facilities was $1--$2.3 million. The total operating cost for 100% acceptable powder production in the virgin facilities ranged from $23 per gram for a 1-kg production batch size to $8 per gram for a 10-kg batch size. Similarly for recycle facilities, the total operating cost ranged from $34 per gram to $5 per gram. The total operating cost versus product acceptability (ranging from 50%--100% acceptability) was also evaluated for both virgin and recycle facilities. Because production sizes studied vary widely and because scale-up factors are unknown for batch sizes greater than 1 kg, all costs are ''order-of-magnitude'' estimates. All costs reported are in 1987 dollars.

  14. Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 5,567 5,151 4,620 4,517 4,590 4,568 1990's 4,478 4,480 4,545 4,645 4,775 4,724 4,889 4,942 4,855 4,897 2000's 5,072 5,138 5,038 5,166 5,318 5,424 5,608 6,263 7,009 7,017 2010's 6,974 7,139 7,570 7,607 7,877 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  15. Louisiana Dry Natural Gas Reserves Estimated Production (Billion Cubic

    Energy Information Administration (EIA) (indexed site)

    Feet) Estimated Production (Billion Cubic Feet) Louisiana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 2,482 1,741 1,625 1,691 1,687 1990's 1,596 1,527 1,494 1,457 1,453 1,403 1,521 1,496 1,403 1,421 2000's 1,443 1,479 1,338 1,280 1,322 1,206 1,309 1,257 1,319 1,544 2010's 2,189 2,985 3,057 2,344 1,960 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  16. Louisiana - South Onshore Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Louisiana - South Onshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 2,367 2,203 2,005 1980's 1,860 1,673 1,472 1,293 1,327 1,243 1,219 1,109 1,142 1,130 1990's 1,070 1,034 1,043 993 981 908 957 911 875 927 2000's 932 931 821 753 770 640 674 618 539 469 2010's 394 373 359 379 347 - = No Data Reported; -- = Not Applicable;

  17. Lower 48 States Dry Natural Gas Reserves Estimated Production (Billion

    Energy Information Administration (EIA) (indexed site)

    Cubic Feet) Estimated Production (Billion Cubic Feet) Lower 48 States Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 18,637 18,589 19,029 1980's 18,486 18,502 17,245 15,515 16,869 15,673 15,286 15,765 16,270 16,582 1990's 16,894 16,849 17,009 17,396 17,899 17,570 18,415 18,736 18,207 18,469 2000's 18,713 19,318 18,893 18,947 18,690 17,989 18,137 19,078 20,169 21,236 2010's 21,922 23,228

  18. Colorado Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Colorado Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 174 167 156 1980's 163 165 196 156 171 166 188 159 188 220 1990's 229 282 320 387 447 514 540 562 676 719 2000's 759 882 964 1,142 1,050 1,104 1,174 1,326 1,441 1,524 2010's 1,590 1,694 1,681 1,527 1,561 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  19. Wyoming Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Wyoming Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 315 329 355 1980's 416 423 391 414 484 433 402 456 510 591 1990's 583 639 714 713 780 806 782 891 838 1,213 2000's 1,070 1,286 1,388 1,456 1,524 1,642 1,695 1,825 2,026 2,233 2010's 2,218 2,088 2,001 1,992 1,718 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  20. Texas - RRC District 5 Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 5 Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 83 89 153 1980's 125 139 129 131 164 167 165 171 162 156 1990's 160 170 171 175 185 167 187 210 224 219 2000's 303 335 377 457 490 650 783 1,130 1,521 1,718 2010's 1,771 1,904 1,752 1,582 1,412 - = No Data Reported; -- = Not Applicable; NA = Not Available; W

  1. Hydrogen Production Cost Estimate Using Biomass Gasification: Independent Review

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Hydrogen Production Cost Estimate Using Biomass Gasification National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Contract No. DE-AC36-08GO28308 Independent Review Published for the U.S. Department of Energy Hydrogen and Fuel Cells Program NREL/BK-6A10-51726 October

  2. A theoretical model of subsidence caused by petroleum production: Big Hill Field, Jefferson County, Texas

    SciTech Connect

    Hill, D.W.; Sharp, J.M. Jr. . Dept. of Geological Sciences)

    1993-02-01

    In the Texas Gulf Coastal Plain, there is a history of oil and gas production extending over 2 to 5 decades. Concurrent with this production history, there has been unprecedented population growth accompanied by vastly increased groundwater demands. Land subsidence on both local and regional bases in this geologic province has been measured and predicted in several studies. The vast majority of these studies have addressed the problem from the standpoint of groundwater usage while only a few have considered the effects of oil and gas production. Based upon field-based computational techniques (Helm, 1984), a model has been developed to predict land subsidence caused by oil and gas production. This method is applied to the Big Hill Field in Jefferson County, Texas. Inputs include production data from a series of wells in this field and lithologic data from electric logs of these same wells. Outputs include predicted amounts of subsidence, the time frame of subsidence, and sensitivity analyses of compressibility and hydraulic conductivity estimates. Depending upon estimated compressibility, subsidence, to date, is predicted to be as high as 20 cm. Similarly, depending upon estimated vertical hydraulic conductivity, the time frame may be decades for this subsidence. These same methods can be applied to other oil/gas fields with established production histories as well as new fields when production scenarios are assumed. Where subsidence has been carefully measured above petroleum reservoir, the model may be used inversely to calculate sediment compressibilities.

  3. Conformal field theories at nonzero temperature: Operator product...

    Office of Scientific and Technical Information (OSTI)

    nonzero temperature: Operator product expansions, Monte Carlo, and holography Citation Details In-Document Search Title: Conformal field theories at nonzero temperature: Operator ...

  4. Observable non-Gaussianity from gauge field production in slow...

    Office of Scientific and Technical Information (OSTI)

    Observable non-Gaussianity from gauge field production in slow roll inflation, and a challenging connection with magnetogenesis Citation Details In-Document Search Title: ...

  5. Gauge field production in axion inflation: Consequences for monodromy...

    Office of Scientific and Technical Information (OSTI)

    Gauge field production in axion inflation: Consequences for monodromy, non-Gaussianity in the CMB, and gravitational waves at interferometers Citation Details In-Document Search ...

  6. Oklahoma Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) Oklahoma Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,691 1,667 1,592 1980's 1,526 1,700 1,636 1,544 1,778 1,686 1,658 1,813 1,896 1,983 1990's 2,058 1,983 1,895 1,770 1,721 1,562 1,580 1,555 1,544 1,308 2000's 1,473 1,481 1,518 1,554 1,563 1,587 1,601 1,659 1,775 1,790 2010's 1,703 1,697 1,763 1,890 2,123 - = No Data Reported; -- = Not Applicable;

  7. ARM Climate Modeling Best Estimate Data, A New Data Product for...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: ARM Climate Modeling Best Estimate Data, A New Data Product for Climate Studies Citation Details In-Document Search Title: ARM Climate Modeling Best Estimate Data, ...

  8. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Applications: 2007 Update Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2007 Update This report estimates fuel cell system cost ...

  9. Estimating of pulsed electric fields using optical measurements.

    SciTech Connect

    Flanagan, Timothy McGuire; Chantler, Gary R.

    2013-09-01

    We performed optical electric field measurements ion nanosecond time scales using the electrooptic crystal beta barium borate (BBO). Tests were based on a preliminary bench top design intended to be a proofofprinciple stepping stone towards a modulardesign optical Efield diagnostic that has no metal in the interrogated environment. The long term goal is to field a modular version of the diagnostic in experiments on large scale xray source facilities, or similarly harsh environments.

  10. Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants

    SciTech Connect

    Smith, R.; Chung, P.S.; Steckel, J; Jhon, M.S.; Biegler, L.T.

    2011-01-01

    The head disk interface in a hard disk drive can be considered to be one of the hierarchical multiscale systems, which require the hybridization of multiscale modeling methods with coarse-graining procedure. However, the fundamental force field parameters are required to enable the coarse-graining procedure from atomistic/molecular scale to mesoscale models. In this paper, we investigate beyond molecular level and perform ab initio calculations to obtain the force field parameters. Intramolecular force field parameters for Zdol and Ztetraol were evaluated with truncated PFPE molecules to allow for feasible quantum calculations while still maintaining the characteristic chemical structure of the end groups. Using the harmonic approximation to the bond and angle potentials, the parameters were derived from the Hessian matrix, and the dihedral force constants are fit to the torsional energy profiles generated by a series of constrained molecular geometry optimization.

  11. Force Field Parameter Estimation of Functional Perfluoropolyether Lubricants

    SciTech Connect

    Smith, R.; Chung, P.S.; Steckel, J; Jhon, M.S.; Biegler, L.T.

    2011-01-01

    The head disk interface in hard disk drive can be considered one of the hierarchical multiscale systems, which require the hybridization of multiscale modeling methods with coarse-graining procedure. However, the fundamental force field parameters are required to enable the coarse-graining procedure from atomistic/molecular scale to mesoscale models .In this paper, we investigate beyond molecular level and perform ab-initio calculations to obtain the force field parameters. Intramolecular force field parameters for the Zdol and Ztetraol were evaluated with truncated PFPE molecules to allow for feasible quantum calculations while still maintaining the characteristic chemical structure of the end groups. Using the harmonic approximation to the bond and angle potentials, the parameters were derived from the Hessian matrix, and the dihedral force constants are fit to the torsional energy profiles generated by a series of constrained molecular geometry optimization.

  12. ARM CLIMATE MODELING BEST ESTIMATE DATA A New Data Product for...

    Office of Scientific and Technical Information (OSTI)

    ARM CLIMATE MODELING BEST ESTIMATE DATA A New Data Product for Climate Studies Citation Details In-Document Search Title: ARM CLIMATE MODELING BEST ESTIMATE DATA A New Data Product ...

  13. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

    Energy.gov [DOE] (indexed site)

    reports on the status of mass production cost estimation for direct hydrogen PEM fuel cell systems. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for ...

  14. ,"Florida Dry Natural Gas Reserves Estimated Production (Billion...

    Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Florida Dry Natural Gas Reserves Estimated ... 10:36:58 AM" "Back to Contents","Data 1: Florida Dry Natural Gas Reserves Estimated ...

  15. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Water Electrolysis | Department of Energy Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis This is an independent review of the estimated 2009 state-of-the-art cost of producing hydrogen from both alkaline and PEM water electrolyzers for distributed and central production. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water

  16. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Application

    Energy.gov [DOE]

    This presentation reports on the status of mass production cost estimation for direct hydrogen PEM fuel cell systems.

  17. Fission Product Transmutation in Mixed Radiation Fields

    SciTech Connect

    Harmon, Frank; Burgett, Erick; Starovoitova, Valeriia; Tsveretkov, Pavel

    2015-01-15

    Work under this grant addressed a part of the challenge facing the closure of the nuclear fuel cycle; reducing the radiotoxicity of lived fission products (LLFP). It was based on the possibility that partitioning of isotopes and accelerator-based transmutation on particular LLFP combined with geological disposal may lead to an acceptable societal solution to the problem of management. The feasibility of using photonuclear processes based on the excitation of the giant dipole resonance (GDR) by bremsstrahlung radiation as a cost effective transmutation method was accessed. The nuclear reactions of interest: (γ,xn), (n,γ), (γ,p) can be induced by bremsstrahlung radiation produced by high power electron accelerators. The driver of these processes would be an accelerator that produces a high energy and high power electron beam of ~ 100 MeV. The major advantages of such accelerators for this purpose are that they are essentially available “off the shelf” and potentially would be of reasonable cost for this application. Methods were examined that used photo produced neutrons or the bremsstrahlung photons only, or use both photons and neutrons in combination for irradiations of selected LLFP. Extrapolating the results to plausible engineering scale transmuters it was found that the energy cost for 129I and 99Tc transmutation by these methods are about 2 and 4%, respectively, of the energy produced from 1000MWe.

  18. Worldwide estimates and bibliography of net primary productivity derived from pre-1982 publications

    SciTech Connect

    Esser, G.; Lieth, H.F.H.; Scurlock, J.M.O.; Olson, R.J.

    1997-10-01

    An extensive compilation of more than 700 field estimates of net primary productivity of natural and agricultural ecosystems worldwide was synthesized in Germany in the 1970s and early 1980s. Although the Osnabrueck data set has not been updated since the 1980s, it represents a wealth of information for use in model development and validation. This report documents the development of this data set, its contents, and its recent availability on the Internet from the Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. Caution is advised in using these data, which necessarily include assumptions and conversions that may not be universally applicable to all sites.

  19. Estimation of net primary productivity using a process-based...

    Office of Scientific and Technical Information (OSTI)

    Net primary productivity (NPP) modeling can help to improve the understanding of the ecosystem, and therefore, improve ecological efficiency. The boreal ecosystem productivity ...

  20. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

    Energy.gov [DOE] (indexed site)

    estimates fuel cell system cost for systems produced in the years 2006, 2010, and 2015, and is the ... Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for ...

  1. A sparse reconstruction method for the estimation of multiresolution emission fields via atmospheric inversion

    DOE PAGES [OSTI]

    Ray, J.; Lee, J.; Yadav, V.; Lefantzi, S.; Michalak, A. M.; van Bloemen Waanders, B.

    2014-08-20

    We present a sparse reconstruction scheme that can also be used to ensure non-negativity when fitting wavelet-based random field models to limited observations in non-rectangular geometries. The method is relevant when multiresolution fields are estimated using linear inverse problems. Examples include the estimation of emission fields for many anthropogenic pollutants using atmospheric inversion or hydraulic conductivity in aquifers from flow measurements. The scheme is based on three new developments. Firstly, we extend an existing sparse reconstruction method, Stagewise Orthogonal Matching Pursuit (StOMP), to incorporate prior information on the target field. Secondly, we develop an iterative method that uses StOMP tomore » impose non-negativity on the estimated field. Finally, we devise a method, based on compressive sensing, to limit the estimated field within an irregularly shaped domain. We demonstrate the method on the estimation of fossil-fuel CO2 (ffCO2) emissions in the lower 48 states of the US. The application uses a recently developed multiresolution random field model and synthetic observations of ffCO2 concentrations from a limited set of measurement sites. We find that our method for limiting the estimated field within an irregularly shaped region is about a factor of 10 faster than conventional approaches. It also reduces the overall computational cost by a factor of two. Further, the sparse reconstruction scheme imposes non-negativity without introducing strong nonlinearities, such as those introduced by employing log-transformed fields, and thus reaps the benefits of simplicity and computational speed that are characteristic of linear inverse problems.« less

  2. A sparse reconstruction method for the estimation of multi-resolution emission fields via atmospheric inversion

    DOE PAGES [OSTI]

    Ray, J.; Lee, J.; Yadav, V.; Lefantzi, S.; Michalak, A. M.; van Bloemen Waanders, B.

    2015-04-29

    Atmospheric inversions are frequently used to estimate fluxes of atmospheric greenhouse gases (e.g., biospheric CO2 flux fields) at Earth's surface. These inversions typically assume that flux departures from a prior model are spatially smoothly varying, which are then modeled using a multi-variate Gaussian. When the field being estimated is spatially rough, multi-variate Gaussian models are difficult to construct and a wavelet-based field model may be more suitable. Unfortunately, such models are very high dimensional and are most conveniently used when the estimation method can simultaneously perform data-driven model simplification (removal of model parameters that cannot be reliably estimated) and fitting.more » Such sparse reconstruction methods are typically not used in atmospheric inversions. In this work, we devise a sparse reconstruction method, and illustrate it in an idealized atmospheric inversion problem for the estimation of fossil fuel CO2 (ffCO2) emissions in the lower 48 states of the USA. Our new method is based on stagewise orthogonal matching pursuit (StOMP), a method used to reconstruct compressively sensed images. Our adaptations bestow three properties to the sparse reconstruction procedure which are useful in atmospheric inversions. We have modified StOMP to incorporate prior information on the emission field being estimated and to enforce non-negativity on the estimated field. Finally, though based on wavelets, our method allows for the estimation of fields in non-rectangular geometries, e.g., emission fields inside geographical and political boundaries. Our idealized inversions use a recently developed multi-resolution (i.e., wavelet-based) random field model developed for ffCO2 emissions and synthetic observations of ffCO2 concentrations from a limited set of measurement sites. We find that our method for limiting the estimated field within an irregularly shaped region is about a factor of 10 faster than conventional approaches. It also

  3. Mass Production Cost Estimation of Direct H2 PEM Fuel Cell Systems...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Mass Production Cost Estimation of Direct H 2 PEM Fuel Cell Systems for Transportation ... Jason Marcinkoski of DOE's Office of Energy Efficiency and Renewable Energy (EERE) Fuel ...

  4. Mass Production Cost Estimation of Direct H2 PEM Fuel Cell Systems...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    of Direct H2 PEM Fuel Cell Systems for Transportation Applications: 2013 Update Mass Production Cost Estimation of Direct H2 PEM Fuel Cell Systems for Transportation Applications: ...

  5. Floating oil production unit slated in small field off Gabon

    SciTech Connect

    Not Available

    1991-10-14

    This paper reports on the first U.S. tanker converted to a floating production, storage, and offloading (FPSO) unit which takes up station in Gombe-Beta field off Gabon by Dec. 1. FPSO Ocean Producer will work under a 3 year, day rate contract let late in 1990 by Amoco-Gabon Bombe Marin co., a unit of Amoco Production Co. (OGJ, Dec. 24, 1990, p. 27). Gombe-Beta field is in the Atlantic Ocean about 70 miles south of Port Gentil, Gabon. Ocean Producer will be moored in 50 ft of water 3.7 miles off Gabon, with Bombe-Beta's unmanned production platform about 820 ft astern. The vessel will be held in position by a disconnectable, asymmetric, six point, spread mooring system, It is owned and operated by Oceaneering International Services Ltd. (OISL). Affiliate Oceaneering Production Systems (OPS) converted the 78,061 dwt oil tanker MT Baltimore Sea at a capital cost of $25 million at Gulf Copper Manufacturing Corp.'s Port Arthur, Tex., shipyard. Both companies are units of Oceaneering International Inc., Houston. OPS the Ocean Producer's use in Gombe-Beta field is the shallowest water FPSO application in the world. Amoco-Gabon chose an FPSO production system for Gombe-Beta because it expects the remote field to have a short economic life, and the oil requires extensive processing.

  6. Locally smeared operator product expansions in scalar field theory

    DOE PAGES [OSTI]

    Monahan, Christopher; Orginos, Kostas

    2015-04-01

    We propose a new locally smeared operator product expansion to decompose non-local operators in terms of a basis of smeared operators. The smeared operator product expansion formally connects nonperturbative matrix elements determined numerically using lattice field theory to matrix elements of non-local operators in the continuum. These nonperturbative matrix elements do not suffer from power-divergent mixing on the lattice, which significantly complicates calculations of quantities such as the moments of parton distribution functions, provided the smearing scale is kept fixed in the continuum limit. The presence of this smearing scale complicates the connection to the Wilson coefficients of the standardmore » operator product expansion and requires the construction of a suitable formalism. We demonstrate the feasibility of our approach with examples in real scalar field theory.« less

  7. Estimating Production Potentials: Expert Bias in Applied Decision Making

    SciTech Connect

    Reece, Wendy Jane

    1998-10-01

    A study was conducted to evaluate how workers predict manufacturing production potentials given positively and negatively framed information. Findings indicate the existence of a bias toward positive information and suggest that this bias may be reduced with experience but is never the less maintained. Experts err in the same way non experts do in differentially processing negative and positive information. Additionally, both experts and non experts tend to overestimate production potentials in a positive direction. The authors propose that these biases should be addressed with further research including cross domain analyses and consideration in training, workplace design, and human performance modeling.

  8. Cost estimates for the Uranium-in-Soils Integrated Demonstration field screening technologies

    SciTech Connect

    Douthat, D.M.; Armstrong, A.Q.; Ladd, B.

    1993-09-01

    The objective of this document is to describe the work conducted by the ORNL Performance Assessment Group members responsible for developing the cost analysis reports for the uranium-in-soils Integrated Demonstration (ID). The following information is provided in this report: (1) an explanation of the cost input questionnaires, which were sent to the developers of the field screening technologies and used by the cost estimator to acquire information and develop the cost estimates, (2) a description of the computer software package chosen to create the cost estimates, as well as why it was chosen, (3) a description of how the Uranium-in-Soils ID project is broken down structurally in terms of a work breakdown structure (WBS) for the cost estimates, (4) an explanation of the assumptions made by the cost estimator in developing the cost estimates, (5) a summary of the expected costs for each field screening technology, and (6) an explanation of how the cost analysis reports for a scenario evaluation (provided in the cost input questionnaires) were derived, as well as a summary of the scenario evaluation costs for each technology.

  9. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Automotive Applications: 2010 Update | Department of Energy Applications: 2010 Update Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2010 Update This report is the fourth annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing costs of complete 80 kWnet direct-hydrogen proton exchange membrane fuel cell systems suitable for powering light-duty automobiles. Mass Production Cost

  10. ARM Best Estimate Data (ARMBE) Products for Climate Science for a

    Office of Scientific and Technical Information (OSTI)

    Sustainable Energy Future (CSSEF) (Dataset) | Data Explorer Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF) Title: ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF) This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty

  11. Seasonal Production and Emission of Methane from Rice Fields, Final Report

    SciTech Connect

    Khalil, M. Aslam K.; Rasmussen,Reinhold A.

    2002-12-03

    B 139 - Methane (CH4) is a greenhouse gas regarded second only to carbon dioxide in its ability to cause global warming. Methane is important because of its relatively fast increase, and also because it is, per molecule, some 60 times more effective than carbon dioxide in causing global warming. The largest present anthropogenic sources of methane are rice fields, cattle and biomass burning. The global emissions from these sources are still not well known. In the middle 1980s there were few available data on methane emissions from rice fields leading to estimates of a global source between 100-280 Tg/yr. Extensive worldwide research during the last decade has shown that the global emissions from rice fields are more likely to be in the range of 30-80Tg/yr. While this work has led to a substantial reduction in the estimated emissions, the uncertainty is still quite large, and seriously affects our ability to include methane in integrated assessments for future climate change and environmental management.China dominated estimates of methane emissions from rice fields because it was, and is, the largest producer of rice, and major increases in rice production had taken place in the country over the last several decades. This report summarizes the work in Sichuan Province, China, in each of the following areas: the design of the experiment; the main results on methane emissions from rice fields, delineating the factors controlling emissions; production of methane in the soil; a survey of water management practices in sample of counties in Sichuan province; and results of ambient measurements including data from the background continental site. B139

  12. Determining effective soil formation thermal properties from field data using a parameter estimation technique

    SciTech Connect

    Shonder, J.A.; Beck, J.V.

    1998-11-01

    A one-dimensional thermal model is derived to describe the temperature field around a vertical borehole heat exchanger (BHEx) for a geothermal heat pump. The inlet and outlet pipe flows are modeled as one, and an effective heat capacity is added to model the heat storage in the fluid and pipes. Parameter estimation techniques are then used to estimate various parameters associated with the model, including the thermal conductivity of the soil and of the grout which fills the borehole and surrounds the u-tube. The model is validated using test data from an experimental rig containing sand with known thermal conductivity. The estimates of the sand thermal conductivity derived from the model are found to be in good agreement with independent measurements.

  13. Determining Effective Soil Formation Thermal Properties From Field Data Using A Parameter Estimation Technique

    SciTech Connect

    Shonder, John A; Beck, Dr. James V.

    1999-01-01

    A one-dimensional thermal model is derived to describe the temperature field around a vertical borehole heat exchanger (BHEX) for a geothermal heat pump. The inlet and outlet pipe flows are modeled as one, and an effective heat capacity is added to model the heat storage in the fluid and pipes. Parameter estimation techniques are then used to estimate various parameters associated with the model, including the thermal conductivity of the soil and the grout that fills the borehole and surrounds the U-tube. The model is validated using test data from an experimental rig containing sand with known thermal conductivity. The estimates of the sand's thermal conductivity derived from the model are found to be in good agreement with independent measurements.

  14. Estimated human health risks of disposing of nonhazardous oil field waste in salt caverns

    SciTech Connect

    Tomasko, D.; Elcock, D.; Veil, J.

    1997-09-01

    Argonne National Laboratory (ANL) has completed an evaluation of the possibility that adverse human health effects (carcinogenic and noncarcinogenic) could result from exposure to contaminants released from nonhazardous oil field wastes (NOW) disposed in domal salt caverns. In this assessment, several steps were used to evaluate potential human health risks: identifying potential contaminants of concern, determining how humans could be exposed to these contaminants, assessing the contaminants` toxicities, estimating contaminant intakes, and, finally, calculating human cancer and noncancer risks.

  15. Observational constraints on gauge field production in axion inflation

    SciTech Connect

    Meerburg, P.D.; Pajer, E. E-mail: enrico.pajer@gmail.com

    2013-02-01

    Models of axion inflation are particularly interesting since they provide a natural justification for the flatness of the potential over a super-Planckian distance, namely the approximate shift-symmetry of the inflaton. In addition, most of the observational consequences are directly related to this symmetry and hence are correlated. Large tensor modes can be accompanied by the observable effects of a the shift-symmetric coupling φF F-tilde to a gauge field. During inflation this coupling leads to a copious production of gauge quanta and consequently a very distinct modification of the primordial curvature perturbations. In this work we compare these predictions with observations. We find that the leading constraint on the model comes from the CMB power spectrum when considering both WMAP 7-year and ACT data. The bispectrum generated by the non-Gaussian inverse-decay of the gauge field leads to a comparable but slightly weaker constraint. There is also a constraint from μ-distortion using TRIS plus COBE/FIRAS data, but it is much weaker. Finally we comment on a generalization of the model to massive gauge fields. When the mass is generated by some light Higgs field, observably large local non-Gaussianity can be produced.

  16. Transmission, storage and export of product from the Arun field

    SciTech Connect

    Soeryanto, J.

    1982-01-01

    Arun liquefied natural gas (LNG) plant is the second Indonesian LNG plant. It began production in August 1978. Plant feed is supplied from the Arun gas condensate field located ca. 30 km from the plant. The overall complex is designed to produced LNG equivalent to 18 million cu m/day of gas, and 12,000 cu m/day of stabilized condensate. Field facilities produce and separate gas and condensate for delivery through separate pipelines to the LNG plant. At the plant, condensate is stabilized and stored in four 78,705-cu m floating roof tanks and shipped in conventional tankers, moored off shore. The gas is treated, dehydrated, and liquefied. Gas treating is accomplished by the Benfield Hi-pure Process. Liquefaction is accomplished using the propane pre-cooled multi-component refrigerant process. Refrigerant components required for the liquefaction process are produced from 2 fractionation trains.

  17. Usefulness of effective field theory for boosted Higgs production

    SciTech Connect

    Dawson, S.; Lewis, I. M.; Zeng, Mao

    2015-04-07

    The Higgs + jet channel at the LHC is sensitive to the effects of new physics both in the total rate and in the transverse momentum distribution at high pT. We examine the production process using an effective field theory (EFT) language and discussing the possibility of determining the nature of the underlying high-scale physics from boosted Higgs production. The effects of heavy color triplet scalars and top partner fermions with TeV scale masses are considered as examples and Higgs-gluon couplings of dimension-5 and dimension-7 are included in the EFT. As a byproduct of our study, we examine the region of validity of the EFT. Dimension-7 contributions in realistic new physics models give effects in the high pT tail of the Higgs signal which are so tiny that they are likely to be unobservable.

  18. Estimate of federal relighting potential and demand for efficient lighting products

    SciTech Connect

    Shankle, S.A.; Dirks, J.A.; Elliott, D.B.; Richman, E.E.; Grover, S.E.

    1993-11-01

    The increasing level of electric utility rebates for energy-efficient lighting retrofits has recently prompted concern over the adequacy of the market supply of energy-efficient lighting products (Energy User News 1991). In support of the U.S. Department of Energy`s Federal Energy Management Program, Pacific Northwest Laboratory (PNL) has developed an estimate of the total potential for energy-efficient lighting retrofits in federally owned buildings. This estimate can be used to address the issue of the impact of federal relighting projects on the supply of energy-efficient lighting products. The estimate was developed in 1992, using 1991 data. Any investments in energy-efficient lighting products that occurred in 1992 will reduce the potential estimated here. This analysis proceeds by estimating the existing stock of lighting fixtures in federally owned buildings. The lighting technology screening matrix is then used to determine the minimum life-cycle cost retrofit for each type of existing lighting fixture. Estimates of the existing stock are developed for (1) four types of fluorescent lighting fixtures (2-, 3-, and 4-lamp, F40 4-foot fixtures, and 2-lamp, F96 8-foot fixtures, all with standard magnetic ballasts); (2) one type of incandescent fixture (a 75-watt single bulb fixture); and (3) one type of exit sign (containing two 20-watt incandescent bulbs). Estimates of the existing stock of lighting fixtures in federally owned buildings, estimates of the total potential demand for energy-efficient lighting products if all cost-effective retrofits were undertaken immediately, and total potential annual energy savings (in MWh and dollars), the total investment required to obtain the energy savings and the present value of the efficiency investment, are presented.

  19. ,"Alabama Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  20. ,"Alaska Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alaska Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  1. ,"Arkansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  2. ,"California Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","California Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  3. ,"Colorado Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  4. ,"Kansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  5. ,"Kentucky Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  6. ,"Louisiana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Louisiana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  7. ,"Michigan Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  8. ,"Mississippi Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Mississippi Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  9. ,"Montana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  10. ,"Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  11. ,"West Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  12. ,"Wyoming Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  13. Texas - RRC District 7B Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 7B Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 10 2010's 10 11 11 11 12 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages:

  14. Texas - RRC District 7B Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 7B Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 98 100 129 1980's 132 118 113 123 121 114 102 106 103 78 1990's 80 68 68 65 65 58 69 67 60 64 2000's 55 51 59 57 51 65 90 139 187 171 2010's 149 196 265 228 181 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  15. Texas - RRC District 7C Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 7C Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 32 2010's 34 40 50 63 88 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages:

  16. Texas - RRC District 7C Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 7C Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 261 259 243 1980's 256 234 261 228 254 248 238 242 259 290 1990's 301 285 285 309 334 321 370 372 356 327 2000's 296 315 327 350 348 349 369 346 342 328 2010's 315 293 309 328 424 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to

  17. Texas - RRC District 8A Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 8A Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 111 2010's 108 107 108 107 108 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  18. Texas - RRC District 8A Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 8A Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 164 146 121 1980's 129 102 105 105 83 89 65 71 67 81 1990's 70 71 101 68 87 64 69 55 66 100 2000's 87 75 93 100 108 102 102 103 105 108 2010's 93 94 97 99 103 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  19. U.S. Federal Offshore Crude Oil + Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) U.S. Federal Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 599 2010's 590 504 474 489 547 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring

  20. ,"New Mexico Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  1. ,"New York Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New York Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  2. ,"North Dakota Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Dakota Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  3. ,"Ohio Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  4. ,"Oklahoma Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  5. ,"Pennsylvania Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  6. ,"Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  7. ,"U.S. Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  8. ,"Utah Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File

  9. Reduced carbon emission estimates from fossil fuel combustion and cement production in China

    SciTech Connect

    Liu, Z.; Guan, D.; Wei, W.; Davis, S.; Ciais, P.; Bai, J; Peng, S.; Zhang, Q.; Hubacek, K.; Marland, Gregg; Andres, Robert Joseph; Crawford-Brown, D.; Lin, J.; Zhao, H.; Hong, C.; Boden, Thomas A.; Feng, K.; Peters, Glen P.; Xi, F.; Liu, J.; Li, Y.; Zhao, Y.; Zeng, Ning; He, K.

    2015-08-19

    Nearly three-quarters of the growth in global carbon emissions from the burning of fossil fuels and cement production between 2010 and 2012 occurred in China. Yet estimates of Chinese emissions remain subject to large uncertainty; inventories of China’s total fossil fuel carbon emissions in 2008 differ by 0.3 gigatonnes of carbon, or 15 per cent. The primary sources of this uncertainty are conflicting estimates of energy consumption and emission factors, the latter being uncertain because of very few actual measurements representative of the mix of Chinese fuels. Here we re-evaluate China’s carbon emissions using updated and harmonized energy consumption and clinker production data and two new and comprehensive sets of measured emission factors for Chinese coal. We find that total energy consumption in China was 10 per cent higher in 2000–2012 than the value reported by China’s national statistics, that emission factors for Chinese coal are on average 40 per cent lower than the default values recommended by the Intergovernmental Panel on Climate Change, and that emissions from China’s cement production are 45 per cent less than recent estimates. Altogether, our revised estimate of China’s CO2 emissions from fossil fuel combustion and cement production is 2.49 gigatonnes of carbon (2 standard deviations = ±7.3 per cent) in 2013, which is 14 per cent lower than the emissions reported by other prominent inventories. Over the full period 2000 to 2013, our revised estimates are 2.9 gigatonnes of carbon less than previous estimates of China’s cumulative carbon emissions. Our findings suggest that overestimation of China’s emissions in 2000–2013 may be larger than China’s estimated total forest sink in 1990–2007 (2.66 gigatonnes of carbon) or China’s land carbon sink in 2000–2009 (2.6 gigatonnes of carbon).

  10. Reduced carbon emission estimates from fossil fuel combustion and cement production in China

    DOE PAGES [OSTI]

    Liu, Z.; Guan, D.; Wei, W.; Davis, S.; Ciais, P.; Bai, J; Peng, S.; Zhang, Q.; Hubacek, K.; Marland, Gregg; et al

    2015-08-19

    Nearly three-quarters of the growth in global carbon emissions from the burning of fossil fuels and cement production between 2010 and 2012 occurred in China. Yet estimates of Chinese emissions remain subject to large uncertainty; inventories of China’s total fossil fuel carbon emissions in 2008 differ by 0.3 gigatonnes of carbon, or 15 per cent. The primary sources of this uncertainty are conflicting estimates of energy consumption and emission factors, the latter being uncertain because of very few actual measurements representative of the mix of Chinese fuels. Here we re-evaluate China’s carbon emissions using updated and harmonized energy consumption andmore » clinker production data and two new and comprehensive sets of measured emission factors for Chinese coal. We find that total energy consumption in China was 10 per cent higher in 2000–2012 than the value reported by China’s national statistics, that emission factors for Chinese coal are on average 40 per cent lower than the default values recommended by the Intergovernmental Panel on Climate Change, and that emissions from China’s cement production are 45 per cent less than recent estimates. Altogether, our revised estimate of China’s CO2 emissions from fossil fuel combustion and cement production is 2.49 gigatonnes of carbon (2 standard deviations = ±7.3 per cent) in 2013, which is 14 per cent lower than the emissions reported by other prominent inventories. Over the full period 2000 to 2013, our revised estimates are 2.9 gigatonnes of carbon less than previous estimates of China’s cumulative carbon emissions. Our findings suggest that overestimation of China’s emissions in 2000–2013 may be larger than China’s estimated total forest sink in 1990–2007 (2.66 gigatonnes of carbon) or China’s land carbon sink in 2000–2009 (2.6 gigatonnes of carbon).« less

  11. DOE/SC-ARM/TR-115 Aerosol Best Estimate (AEROSOLBE) Value-Added Product

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    5 Aerosol Best Estimate (AEROSOLBE) Value-Added Product C Flynn D Turner A Koontz D Chand C Sivaraman July 2012 DISCLAIMER This report was prepared as an account of work sponsored by the U.S. Government. Neither the United States nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that

  12. Fluid pressure arrival time tomography: Estimation and assessment in the presence of inequality constraints, with an application to a producing gas field at Krechba, Algeria

    SciTech Connect

    Rucci, A.; Vasco, D.W.; Novali, F.

    2010-04-01

    Deformation in the overburden proves useful in deducing spatial and temporal changes in the volume of a producing reservoir. Based upon these changes we estimate diffusive travel times associated with the transient flow due to production, and then, as the solution of a linear inverse problem, the effective permeability of the reservoir. An advantage an approach based upon travel times, as opposed to one based upon the amplitude of surface deformation, is that it is much less sensitive to the exact geomechanical properties of the reservoir and overburden. Inequalities constrain the inversion, under the assumption that the fluid production only results in pore volume decreases within the reservoir. We apply the formulation to satellite-based estimates of deformation in the material overlying a thin gas production zone at the Krechba field in Algeria. The peak displacement after three years of gas production is approximately 0.5 cm, overlying the eastern margin of the anticlinal structure defining the gas field. Using data from 15 irregularly-spaced images of range change, we calculate the diffusive travel times associated with the startup of a gas production well. The inequality constraints are incorporated into the estimates of model parameter resolution and covariance, improving the resolution by roughly 30 to 40%.

  13. Comparative Evaluation of Two Methods to Estimate Natural Gas Production in Texas

    Reports and Publications

    2003-01-01

    This report describes an evaluation conducted by the Energy Information Administration (EIA) in August 2003 of two methods that estimate natural gas production in Texas. The first method (parametric method) was used by EIA from February through August 2003 and the second method (multinomial method) replaced it starting in September 2003, based on the results of this evaluation.

  14. Develpment of a low Cost Method to Estimate the Seismic Signiture of a Geothemal Field from Ambient Seismic Noise Analysis

    Energy.gov [DOE]

    Develpment of a low Cost Method to Estimate the Seismic Signiture of a Geothemal Field from Ambient Seismic Noise Analysis presentation at the April 2013 peer review meeting held in Denver, Colorado.

  15. sparse-msrf:A package for sparse modeling and estimation of fossil-fuel CO2 emission fields

    Energy Science and Technology Software Center

    2014-10-06

    The software is used to fit models of emission fields (e.g., fossil-fuel CO2 emissions) to sparse measurements of gaseous concentrations. Its primary aim is to provide an implementation and a demonstration for the algorithms and models developed in J. Ray, V. Yadav, A. M. Michalak, B. van Bloemen Waanders and S. A. McKenna, "A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions", accepted, Geoscientific Model Development, 2014. The softwaremore » can be used to estimate emissions of non-reactive gases such as fossil-fuel CO2, methane etc. The software uses a proxy of the emission field being estimated (e.g., for fossil-fuel CO2, a population density map is a good proxy) to construct a wavelet model for the emission field. It then uses a shrinkage regression algorithm called Stagewise Orthogonal Matching Pursuit (StOMP) to fit the wavelet model to concentration measurements, using an atmospheric transport model to relate emission and concentration fields. Algorithmic novelties described in the paper above (1) ensure that the estimated emission fields are non-negative, (2) allow the use of guesses for emission fields to accelerate the estimation processes and (3) ensure that under/overestimates in the guesses do not skew the estimation.« less

  16. sparse-msrf:A package for sparse modeling and estimation of fossil-fuel CO2 emission fields

    SciTech Connect

    2014-10-06

    The software is used to fit models of emission fields (e.g., fossil-fuel CO2 emissions) to sparse measurements of gaseous concentrations. Its primary aim is to provide an implementation and a demonstration for the algorithms and models developed in J. Ray, V. Yadav, A. M. Michalak, B. van Bloemen Waanders and S. A. McKenna, "A multiresolution spatial parameterization for the estimation of fossil-fuel carbon dioxide emissions via atmospheric inversions", accepted, Geoscientific Model Development, 2014. The software can be used to estimate emissions of non-reactive gases such as fossil-fuel CO2, methane etc. The software uses a proxy of the emission field being estimated (e.g., for fossil-fuel CO2, a population density map is a good proxy) to construct a wavelet model for the emission field. It then uses a shrinkage regression algorithm called Stagewise Orthogonal Matching Pursuit (StOMP) to fit the wavelet model to concentration measurements, using an atmospheric transport model to relate emission and concentration fields. Algorithmic novelties described in the paper above (1) ensure that the estimated emission fields are non-negative, (2) allow the use of guesses for emission fields to accelerate the estimation processes and (3) ensure that under/overestimates in the guesses do not skew the estimation.

  17. Estimate of the risks of disposing nonhazardous oil field wastes into salt caverns

    SciTech Connect

    Tomasko, D.; Elcock, D.; Veil, J.

    1997-12-31

    Argonne National Laboratory (ANL) has completed an evaluation of the possibility that adverse human health effects (carcinogenic and noncarcinogenic) could result from exposure to contaminants released from nonhazardous oil field wastes (NOW) disposed in domal salt caverns. Potential human health risks associated with hazardous substances (arsenic, benzene, cadmium, and chromium) in NOW were assessed under four postclosure cavern release scenarios: inadvertent cavern intrusion, failure of the cavern seal, failure of the cavern through cracks or leaky interbeds, and a partial collapse of the cavern roof. To estimate potential human health risks for these scenarios, contaminant concentrations at the receptor were calculated using a one-dimensional solution to an advection/dispersion equation that included first order degradation. Assuming a single, generic salt cavern and generic oil-field wastes, the best-estimate excess cancer risks ranged from 1.7 {times} 10{sup {minus}12} to 1.1 {times} 10{sup {minus}8} and hazard indices (referring to noncancer health effects) ranged from 7 {times} 10{sup {minus}9} to 7 {times} 10{sup {minus}4}. Under worse-case conditions in which the probability of cavern failure is 1.0, excess cancer risks ranged from 4.9 {times} 10{sup {minus}9} to 1.7 {times} 10{sup {minus}5} and hazard indices ranged from 7.0 {times} 10{sup {minus}4} to 0.07. Even under worst-case conditions, the risks are within the US Environmental Protection Agency (EPA) target range for acceptable exposure levels. From a human health risk perspective, salt caverns can, therefore, provide an acceptable disposal method for NOW.

  18. Oil production history in Albania oil fields and their perspective

    SciTech Connect

    Marko, D.; Moci, A.

    1995-12-31

    In this paper we will make a general presentation for oil fields in Albania, actual state, and their perspective.

  19. Estimation of constitutive parameters for the Belridge Diatomite, South Belridge Diatomite Field

    SciTech Connect

    Fossum, A.F.; Fredrich, J.T.

    1998-06-01

    A cooperative national laboratory/industry research program was initiated in 1994 that improved understanding of the geomechanical processes causing well casing damage during oil production from weak, compactible formations. The program focused on the shallow diatomaceous oil reservoirs located in California`s San Joaquin Valley, and combined analyses of historical field data, experimental determination of rock mechanical behavior, and geomechanical simulation of the reservoir and overburden response to production and injection. Sandia National Laboratories` quasi-static, large-deformation structural mechanics finite element code JAS3D was used to perform the three-dimensional geomechanical simulations. One of the material models implemented in JAS3D to simulate the time-independent inelastic (non-linear) deformation of geomaterials is a generalized version of the Sandler and Rubin cap plasticity model (Sandler and Rubin, 1979). This report documents the experimental rock mechanics data and material cap plasticity models that were derived to describe the Belridge Diatomite reservoir rock at the South Belridge Diatomite Field, Section 33.

  20. Drilling and Production Testing the Methane Hydrate Resource Potential Associated with the Barrow Gas Fields

    SciTech Connect

    Steve McRae; Thomas Walsh; Michael Dunn; Michael Cook

    2010-02-22

    In November of 2008, the Department of Energy (DOE) and the North Slope Borough (NSB) committed funding to develop a drilling plan to test the presence of hydrates in the producing formation of at least one of the Barrow Gas Fields, and to develop a production surveillance plan to monitor the behavior of hydrates as dissociation occurs. This drilling and surveillance plan was supported by earlier studies in Phase 1 of the project, including hydrate stability zone modeling, material balance modeling, and full-field history-matched reservoir simulation, all of which support the presence of methane hydrate in association with the Barrow Gas Fields. This Phase 2 of the project, conducted over the past twelve months focused on selecting an optimal location for a hydrate test well; design of a logistics, drilling, completion and testing plan; and estimating costs for the activities. As originally proposed, the project was anticipated to benefit from industry activity in northwest Alaska, with opportunities to share equipment, personnel, services and mobilization and demobilization costs with one of the then-active exploration operators. The activity level dropped off, and this benefit evaporated, although plans for drilling of development wells in the BGF's matured, offering significant synergies and cost savings over a remote stand-alone drilling project. An optimal well location was chosen at the East Barrow No.18 well pad, and a vertical pilot/monitoring well and horizontal production test/surveillance well were engineered for drilling from this location. Both wells were designed with Distributed Temperature Survey (DTS) apparatus for monitoring of the hydrate-free gas interface. Once project scope was developed, a procurement process was implemented to engage the necessary service and equipment providers, and finalize project cost estimates. Based on cost proposals from vendors, total project estimated cost is $17.88 million dollars, inclusive of design work

  1. Production data reporting and how it aids surveillance in thermal recovery fields

    SciTech Connect

    Dever, R.E.; Womack, F.A.

    1983-03-01

    Modern surveillance requirements in large thermal recovery oil fields overwhelm manual efforts at collection, retrieval, and reporting of operations and production data. The introduction of a customized data base management and reporting system for this purpose can benefit Operations and Engineering through increased production from timelier awareness of field operating conditions, reduced operating expenses, better steam utilization, and significant manpower productivity increases.

  2. Estimating coal production peak and trends of coal imports in China

    SciTech Connect

    Bo-qiang Lin; Jiang-hua Liu

    2010-01-15

    More than 20 countries in the world have already reached a maximum capacity in their coal production (peak coal production) such as Japan, the United Kingdom and Germany. China, home to the third largest coal reserves in the world, is the world's largest coal producer and consumer, making it part of the Big Six. At present, however, China's coal production has not yet reached its peak. In this article, logistic curves and Gaussian curves are used to predict China's coal peak and the results show that it will be between the late 2020s and the early 2030s. Based on the predictions of coal production and consumption, China's net coal import could be estimated for coming years. This article also analyzes the impact of China's net coal import on the international coal market, especially the Asian market, and on China's economic development and energy security. 16 refs., 5 figs., 6 tabs.

  3. Estimates of global, regional, and national annual CO{sub 2} emissions from fossil-fuel burning, hydraulic cement production, and gas flaring: 1950--1992

    SciTech Connect

    Boden, T.A.; Marland, G.; Andres, R.J.

    1995-12-01

    This document describes the compilation, content, and format of the most comprehensive C0{sub 2}-emissions database currently available. The database includes global, regional, and national annual estimates of C0{sub 2} emissions resulting from fossil-fuel burning, cement manufacturing, and gas flaring in oil fields for 1950--92 as well as the energy production, consumption, and trade data used for these estimates. The methods of Marland and Rotty (1983) are used to calculate these emission estimates. For the first time, the methods and data used to calculate CO, emissions from gas flaring are presented. This C0{sub 2}-emissions database is useful for carbon-cycle research, provides estimates of the rate at which fossil-fuel combustion has released C0{sub 2} to the atmosphere, and offers baseline estimates for those countries compiling 1990 C0{sub 2}-emissions inventories.

  4. U.S. Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet)

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet) U.S. Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 18,843 18,805 19,257 1980's 18,699 18,737 17,506 15,788 17,193 15,985 15,610 16,114 16,670 16,983 1990's 17,233 17,202 17,423 17,789 18,322 17,966 18,861 19,211 18,720 18,928 2000's 19,219 19,779 19,353 19,425 19,168 18,458 18,545 19,466 20,523 21,594 2010's 22,239 23,555 24,912 25,233 26,611 - = No

  5. U.S. Natural Gas, Wet After Lease Separation Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) U.S. Natural Gas, Wet After Lease Separation Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 20,079 1980's 19,500 19,554 18,292 16,590 18,032 16,798 16,401 16,904 17,466 17,752 1990's 18,003 18,012 18,269 18,641 19,210 18,874 19,783 20,134 19,622 19,856 2000's 20,164 20,642 20,248 20,231 20,017 19,259 19,373 20,318 21,415 22,537 2010's 23,224

  6. U.S. Federal Offshore Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) U.S. Federal Offshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 4,984 4,674 4,556 4,622 4,772 4,674 5,040 5,170 4,909 4,922 2000's 4,819 4,957 4,469 4,353 3,921 2,939 2,775 2,731 2,250 2,377 2010's 2,154 1,660 1,360 1,198 1,148 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  7. Development of a Geothermal Well Database for Estimating In-Field EGS Potential in the State of Nevada

    SciTech Connect

    Hillary Hanson; Greg Mines

    2001-09-01

    well database will be used to help estimate the in-field EGS resource potential in future work. Additionally, it is envisioned that the completed database can be queried to report useful information such as the ratio of injection-to-production wells at hydrothermal sites, or on the ratio of successful geothermal wells to dry wells.

  8. Question/comment: An estimate of the direct productive labor hours (DPLH) per l

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Question/comment: An estimate of the direct productive labor hours (DPLH) per labor category is not provided in the Request for Proposal for DE-SOL-0005388. Will the Government provide such information so that Offerors may develop a responsive proposal? Response: Historical data reflecting full time equivalent (FTE) support personnel by labor category is provided in Section J.9, Attachment D of the RFP in the table titled Position Qualifications. Each Offeror is expected to propose the labor

  9. Field Testing of Pre-Production Prototype Residential Heat Pump Water

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Heaters | Department of Energy Field Testing of Pre-Production Prototype Residential Heat Pump Water Heaters Field Testing of Pre-Production Prototype Residential Heat Pump Water Heaters Provides and overview of field testing of 18 pre-production prototype residential heat pump water heaters heat_pump_water_heater_testing.pdf (565.45 KB) More Documents & Publications Building America Technology Solutions for New and Existing Homes: Performance of a Heat Pump Water Heater in the Hot-Humid

  10. ,"Natural Gas Plant Field Production: Natural Gas Liquids "

    Energy Information Administration (EIA) (indexed site)

    Barrels)","Refining District New Mexico Gas Plant Production of Natural Gas ...,54568,744,154,590,9462,512,376,8574,37142,19467,3862,7903,733,5177,4264,2956 ...

  11. Estimation and decomposition of productive efficiency in a panel data model: an application to electric utilities

    SciTech Connect

    Melfi, C.A.

    1984-01-01

    New econometric methodology for modeling and estimating technical and allocative efficiency in production is proposed and applied. Translog cost frontier and share equations are presented in a panel data context, with the structure of the error terms representing noise and inefficiency. The use of panel data with this multivariate error components approach facilitates the separation of eficiency into its technical and allocative components, as well as the separation of noise from inefficiency. The model used is logically consistent in that the distributional assumptions concerning the disturbance vectors take into account the relationships among the disturbance terms in the cost and share equations. This method of efficiency measurement is applied to the electric utilities industry to obtain individual firm estimates of technical and allocative efficiency. The data consist of yearly cost, output, and input price information on 38 electric utility firms over a period of 18 years. Rate-of-return regulation in the electric utilities industry requires estimation of a regulated cost frontier and the associated share equations. Estimates of technical and allocative efficiency are obtained for each firm in every year. Comparisons are made with previous efficiency measurement studies. The measures of efficiency are analyzed in light of rate-of-return regulation.

  12. Estimate of the Sources of Plutonium-Containing Wastes Generated from MOX Fuel Production in Russia

    SciTech Connect

    Kudinov, K. G.; Tretyakov, A. A.; Sorokin, Yu. P.; Bondin, V. V.; Manakova, L. F.; Jardine, L. J.

    2002-02-26

    In Russia, mixed oxide (MOX) fuel is produced in a pilot facility ''Paket'' at ''MAYAK'' Production Association. The Mining-Chemical Combine (MCC) has developed plans to design and build a dedicated industrial-scale plant to produce MOX fuel and fuel assemblies (FA) for VVER-1000 water reactors and the BN-600 fast-breeder reactor, which is pending an official Russian Federation (RF) site-selection decision. The design output of the plant is based on a production capacity of 2.75 tons of weapons plutonium per year to produce the resulting fuel assemblies: 1.25 tons for the BN-600 reactor FAs and the remaining 1.5 tons for VVER-1000 FAs. It is likely the quantity of BN-600 FAs will be reduced in actual practice. The process of nuclear disarmament frees a significant amount of weapons plutonium for other uses, which, if unutilized, represents a constant general threat. In France, Great Britain, Belgium, Russia, and Japan, reactor-grade plutonium is used in MOX-fuel production. Making MOX-fuel for CANDU (Canada) and pressurized water reactors (PWR) (Europe) is under consideration in Russia. If this latter production is added, as many as 5 tons of Pu per year might be processed into new FAs in Russia. Many years of work and experience are represented in the estimates of MOX fuel production wastes derived in this report. Prior engineering studies and sludge treatment investigations and comparisons have determined how best to treat Pu sludges and MOX fuel wastes. Based upon analyses of the production processes established by these efforts, we can estimate that there will be approximately 1200 kg of residual wastes subject to immobilization per MT of plutonium processed, of which approximately 6 to 7 kg is Pu in the residuals per MT of Pu processed. The wastes are various and complicated in composition. Because organic wastes constitute both the major portion of total waste and of the Pu to be immobilized, the recommended treatment of MOX-fuel production waste is

  13. An estimate of the cost of electricity production from hot-dry rock

    SciTech Connect

    Pierce, K.G. ); Livesay, B.J. )

    1993-01-01

    This paper gives an estimate of the cost to produce electricity from hot-dry rock (HDR). Employment of the energy in HDR for the production of electricity requires drilling multiple wells from the surface to the hot rock, connecting the wells through hydraulic fracturing, and then circulating water through the fracture system to extract heat from the rock. The basic HDR system modeled in this paper consists of an injection well, two production wells, the fracture system (or HDR reservoir), and a binary power plant. Water is pumped into the reservoir through the injection well where it is heated and then recovered through the production wells. Upon recovery, the hot water is pumped through a heat exchanger transferring heat to the binary, or working, fluid in the power plant. The power plant is a net 5.1-MW[sub e] binary plant employing dry cooling. Make-up water is supplied by a local well. In this paper, the cost of producing electricity with the basic system is estimated as the sum of the costs of the individual parts. The effects on cost of variations to certain assumptions, as well as the sensitivity of costs to different aspects of the basic system, are also investigated.

  14. An estimate of the cost of electricity production from hot-dry rock

    SciTech Connect

    Pierce, K G; Livesay, B J

    1993-01-01

    This paper gives an estimate of the cost to produce electricity from hot-dry rock (HDR). Employment of the energy in HDR for the production of electricity requires drilling multiple wells from the surface to the hot rock, connecting the wells through hydraulic fracturing, and then circulating water through the fracture system to extract heat from the rock. The basic HDR system modeled in this paper consists of an injection well, two production wells, the fracture system (or HDR reservoir), and a binary power plant. Water is pumped into the reservoir through the injection well where it is heated and then recovered through the production wells. Upon recover, the hot water is pumped through a heat exchanger transferring heat to the binary, or working, fluid in the power plant. The power plant is a net 5.1-MW binary plant employing dry cooling. Make-up water is supplied by a local well. In this paper, the cost of producing electricity with the basic system is estimated as the sum of the costs of the individual parts. The effects on cost of variations to certain assumptions, as well as the sensitivity of costs to different aspects of the basic system, are also investigated.

  15. Estimate of the Sources of Plutonium-Containing Wastes Generated from MOX Fuel Production in Russia

    SciTech Connect

    Kudinov, K.G.; Tretyakov, A.A.; Sorokin, Y.P.; Bondin, V.V.; Manakova, L.F.; Jardine, L.J.

    2001-12-01

    In Russia, mixed oxide (MOX) fuel is produced in a pilot facility ''Paket'' at ''MAYAK'' Production Association. The Mining-Chemical Combine (MCC) has developed plans to design and build a dedicated industrial-scale plant to produce MOX fuel and fuel assemblies (FA) for VVER-1000 water reactors and the BN-600 fast-breeder reactor, which is pending an official Russian Federation (RF) site-selection decision. The design output of the plant is based on production capacity of 2.75 tons of weapons plutonium per year to produce the resulting fuel assemblies: 1.25 tons for the BN-600 reactor FAs and the remaining 1.5 tons for VVER-1000 FAs. It is likely the quantity of BN-600 FAs will be reduced in actual practice. The process of nuclear disarmament frees a significant amount of weapons plutonium for other uses, which, if unutilized, represents a constant general threat. In France, Great Britain, Belgium, Russia, and Japan, reactor-grade plutonium is used in MOX-fuel production. Making MOX-fuel for CANDU (Canada) and pressurized water reactors (PWR) (Europe) is under consideration Russia. If this latter production is added, as many as 5 tons of Pu per year might be processed into new FAs in Russia. Many years of work and experience are represented in the estimates of MOX fuel production wastes derived in this report. Prior engineering studies and sludge treatment investigations and comparisons have determined how best to treat Pu sludges and MOX fuel wastes. Based upon analyses of the production processes established by these efforts, we can estimate that there will be approximately 1200 kg of residual wastes subject to immobilization per MT of plutonium processed, of which approximately 6 to 7 kg is Pu in the residuals per MT of Pu processed. The wastes are various and complicated in composition. Because organic wastes constitute both the major portion of total waste and of the Pu to be immobilized, the recommended treatment of MOX-fuel production waste is incineration

  16. Natural Gas Plant Field Production: Natural Gas Liquids

    Energy Information Administration (EIA) (indexed site)

    Product: Natural Gas Liquids Pentanes Plus Liquefied Petroleum Gases Ethane Propane Normal Butane Isobutane Period-Unit: Monthly-Thousand Barrels Monthly-Thousand Barrels per Day Annual-Thousand Barrels Annual-Thousand Barrels per Day Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Product Area Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 View History U.S. 108,784 105,106 111,388 108,530 110,754 105,378 1981-2016 PADD 1

  17. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis National Renewable Energy Laboratory 1617 Cole Boulevard * Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Independent Review Published for the U.S. Department of Energy Hydrogen Program

  18. Seismic estimation of porosity in the Permian San Andres carbonate reservoir, Welch Field, Dawson, County, Texas

    SciTech Connect

    Watts, G.P.; Hinterlong, G.D. )

    1996-01-01

    OXY and the DOE Are partners in a advanced technology demonstration project at OXY's West Welch Unit. Production is from a low permeability San Andres reservoir of Permian age similar to many shallow shelf carbonate reservoirs in the Permian Basin. The project involves the construction of a detailed geological model for numerical simulation to design and then conduct a CO[sub 2] flood of the reservoir. Depositional textures of the reservoir rock are highly variable from diagenesis, mostly anhydritic cementing, creating a highly complex pore system. Identification of the interwell reservoir continuity and flow units present the greatest challenge to the reservoir description. A 1993 vintage 3-D seismic survey with a bin spacing of 110[prime] by 165[prime] has been used to assist with the interwell reservoir description. The structure definition at the top and base of the reservoir have been accurately mapped with respect to the well data. Core and well log measurements of porosity, permeability and water saturation were computed and summed across the seismic reservoir interval. Measurements of amplitude, frequency and phase within the 3-D volume were summed across the reservoir interval. All seismic attributes were sampled to the wells and compared through scatterplots to the well log and core measurements. Excellent correlation between three seismic attributes and porosity has been documented. A deterministic method has been used to estimate porosity values at each seismic bin location. The method uses the seismic measurements to shape the geology between the wells while maintaining agreement with the well data at the well locations.

  19. Seismic estimation of porosity in the Permian San Andres carbonate reservoir, Welch Field, Dawson, County, Texas

    SciTech Connect

    Watts, G.P.; Hinterlong, G.D.

    1996-12-31

    OXY and the DOE Are partners in a advanced technology demonstration project at OXY`s West Welch Unit. Production is from a low permeability San Andres reservoir of Permian age similar to many shallow shelf carbonate reservoirs in the Permian Basin. The project involves the construction of a detailed geological model for numerical simulation to design and then conduct a CO{sub 2} flood of the reservoir. Depositional textures of the reservoir rock are highly variable from diagenesis, mostly anhydritic cementing, creating a highly complex pore system. Identification of the interwell reservoir continuity and flow units present the greatest challenge to the reservoir description. A 1993 vintage 3-D seismic survey with a bin spacing of 110{prime} by 165{prime} has been used to assist with the interwell reservoir description. The structure definition at the top and base of the reservoir have been accurately mapped with respect to the well data. Core and well log measurements of porosity, permeability and water saturation were computed and summed across the seismic reservoir interval. Measurements of amplitude, frequency and phase within the 3-D volume were summed across the reservoir interval. All seismic attributes were sampled to the wells and compared through scatterplots to the well log and core measurements. Excellent correlation between three seismic attributes and porosity has been documented. A deterministic method has been used to estimate porosity values at each seismic bin location. The method uses the seismic measurements to shape the geology between the wells while maintaining agreement with the well data at the well locations.

  20. Kepiting field production/storage barge; Design, installation, and operation

    SciTech Connect

    Carl, A.C.; Satar, S. ); Liles, S.P. )

    1990-04-01

    The Kepiting field is located in 295 ft (90 m) of water in the Natuna Sea, Indonesia. Development of this two-well field required innovative planning and involved unique designs of producing systems. The plan includes seafloor wells tied back to a spread-anchored, purpose-built, oil-process and -storage barge. The barge is designed to handle four producing wells and to process 10,000 B/D (1590 m{sup 3}/d) well fluid and 10 million scf/D (283 {times} 10{sup 3} std m{sup 3}/d) gas. Excess gas beyond barge-fuel needs and artificial-lift requirements is flared on the barge. Heated oil storage for 53,000 bbl (8430 m{sup 3}) is available. Processed crude is transported from the barge to a floating export terminal by a shuttle tanker. Kepiting field was operated profitably from Oct. 27, 1986, to Aug. 8, 1989, at which time the wells were plugged and the tieback risers disconnected. This paper discusses the design and construction of the barge and the operating philosophy and experience.

  1. Modelling estimation on the impacts of global warming on rice production in China

    SciTech Connect

    Wang Futang

    1997-12-31

    In this paper, based on the validation and sensitivity analyses of two rice growth models (ORYZA1 and DRISIC--Double Rice Cropping Simulation Model for China), and their joining with global warming scenarios projected by GCMs (GFDL, UKMO-H, MPI and DKRZ OPYC, DKRZ LSG, respectively), the modelling experiments were carried out on the potential impacts of global warming on rice production in China. The results show that although there are the some features for each rice cropping patterns because of different models and estimated methods, the rice production for all cropping patterns in China will trend to decrease with different degrees. In average, early, middle and later rice production, as well as, double-early and double-later rice production in different areas of China will decrease 3.7%, 10.5% and 10.4%, as well as, 15.9% and 14.4%, respectively. It do illustrates that the advantage effects induced by elevated CO{sub 2} concentration on photosynthesis does not compensate the adverse effects of temperature increase. Thus, it is necessary to adjusting rice cropping patterns, cultivars and farming techniques to the global warming timely.

  2. Estimation of field-scale soil hydraulic and dielectric parametersthrough joint inversion of GPR and hydrological data

    SciTech Connect

    Kowalsky, Michael B.; Finsterle, Stefan; Peterson, John; Hubbard,Susan; Rubin, Yoram; Majer, Ernest; Ward, Andy; Gee, Glendon

    2005-05-05

    A method is described for jointly using time-lapse multiple-offset cross-borehole ground-penetrating radar (GPR) travel time measurements and hydrological measurements to estimate field-scale soil hydraulic parameters and parameters of the petrophysical function, which relates soil porosity and water saturation to the effective dielectric constant. We build upon previous work to take advantage of a wide range of GPR data acquisition configurations and to accommodate uncertainty in the petrophysical function. Within the context of water injection experiments in the vadose zone, we test our inversion methodology with synthetic examples and apply it to field data. The synthetic examples show that while realistic errors in the petrophysical function cause substantial errors in the soil hydraulic parameter estimates,simultaneously estimating petrophysical parameters allows for these errors to be minimized. Additionally, we observe in some cases that inaccuracy in the GPR simulator causes systematic error in simulated travel times, making necessary the simultaneous estimation of a correction parameter. We also apply the method to a three-dimensional field setting using time-lapse GPR and neutron probe (NP) data sets collected during an infiltration experiment at the U.S. Department of Energy (DOE) Hanford site in Washington. We find that inclusion of GPR data in the inversion procedure allows for improved predictions of water content, compared to predictions made using NP data alone.

  3. Modeling of CBM production, CO2 injection, and tracer movement at a field CO2 sequestration site

    SciTech Connect

    Siriwardane, Hema J.; Bowes, Benjamin D.; Bromhal, Grant S.; Gondle, Raj K.; Wells, Arthur W.; Strazisar, Brian R.

    2012-07-01

    Sequestration of carbon dioxide in unmineable coal seams is a potential technology mainly because of the potential for simultaneous enhanced coalbed methane production (ECBM). Several pilot tests have been performed around the globe leading to mixed results. Numerous modeling efforts have been carried out successfully to model methane production and carbon dioxide (CO{sub 2}) injection. Sensitivity analyses and history matching along with several optimization tools were used to estimate reservoir properties and to investigate reservoir performance. Geological and geophysical techniques have also been used to characterize field sequestration sites and to inspect reservoir heterogeneity. The fate and movement of injected CO{sub 2} can be determined by using several monitoring techniques. Monitoring of perfluorocarbon (PFC) tracers is one of these monitoring technologies. As a part of this monitoring technique, a small fraction of a traceable fluid is added to the injection wellhead along with the CO{sub 2} stream at different times to monitor the timing and location of the breakthrough in nearby monitoring wells or offset production wells. A reservoir modeling study was performed to simulate a pilot sequestration site located in the San Juan coal basin of northern New Mexico. Several unknown reservoir properties at the field site were estimated by modeling the coal seam as a dual porosity formation and by history matching the methane production and CO{sub 2} injection. In addition to reservoir modeling of methane production and CO{sub 2} injection, tracer injection was modeled. Tracers serve as a surrogate for determining potential leakage of CO{sub 2}. The tracer was modeled as a non-reactive gas and was injected into the reservoir as a mixture along with CO{sub 2}. Geologic and geometric details of the field site, numerical modeling details of methane production, CO{sub 2} injection, and tracer injection are presented in this paper. Moreover, the numerical

  4. Exemptions from OSHA`s PSM rule oil and gas field production

    SciTech Connect

    West, H.H. [Shawnee Engineers, Houston, TX (United States); Landes, S. [SH Landes, Houston, TX (United States)

    1995-12-31

    The OSHA Process Safety Management (PSM) regulation, OSHA 1910.119, contains a number of exemptions which are specifically directed to the low hazard situations typically found in the field production facilities of the oil and gas industry. Each relevant PSM exemption is discussed with particular regard to the requirements of hydrocarbon production facilities.

  5. Pion production via proton synchrotron radiation in strong magnetic fields in relativistic field theory: Scaling relations and angular distributions

    DOE PAGES [OSTI]

    Maruyama, Tomoyuki; Cheoun, Myung-Ki; Kajino, Toshitaka; Mathews, Grant J.

    2016-03-26

    We study pion production by proton synchrotron radiation in the presence of a strong magnetic field when the Landau numbers of the initial and final protons are n(i, f) similar to 10(4)-10(5). We find in our relativistic field theory calculations that the pion decay width depends only on the field strength parameter which previously was only conjectured based upon semi-classical arguments. Moreover, we also find new results that the decay width satisfies a robust scaling relation, and that the polar angular distribution of emitted pion momenta is very narrow and can be easily obtained. This scaling implies that one canmore » infer the decay width in more realistic magnetic fields of 10(15) G, where n(i, f) similar to 10(12)-10(13), from the results for n(i, f) similar to 10(4)-10(5). The resultant pion intensity and angular distributions for realistic magnetic field strengths are presented and their physical implications discussed. (C) 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP(3).« less

  6. ,"U.S. Natural Gas, Wet After Lease Separation Reserves Estimated Production (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Natural Gas, Wet After Lease Separation Reserves Estimated Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  7. ,"U.S. Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production from Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  8. Estimates of Radioxenon Released from Southern Hemisphere Medical isotope Production Facilities Using Measured Air Concentrations and Atmospheric Transport Modeling

    SciTech Connect

    Eslinger, Paul W.; Friese, Judah I.; Lowrey, Justin D.; McIntyre, Justin I.; Miley, Harry S.; Schrom, Brian T.

    2014-09-01

    Abstract The International Monitoring System (IMS) of the Comprehensive-Nuclear-Test-Ban-Treaty monitors the atmosphere for radioactive xenon leaking from underground nuclear explosions. Emissions from medical isotope production represent a challenging background signal when determining whether measured radioxenon in the atmosphere is associated with a nuclear explosion prohibited by the treaty. The Australian Nuclear Science and Technology Organisation (ANSTO) operates a reactor and medical isotope production facility in Lucas Heights, Australia. This study uses two years of release data from the ANSTO medical isotope production facility and Xe-133 data from three IMS sampling locations to estimate the annual releases of Xe-133 from medical isotope production facilities in Argentina, South Africa, and Indonesia. Atmospheric dilution factors derived from a global atmospheric transport model were used in an optimization scheme to estimate annual release values by facility. The annual releases of about 6.8×1014 Bq from the ANSTO medical isotope production facility are in good agreement with the sampled concentrations at these three IMS sampling locations. Annual release estimates for the facility in South Africa vary from 1.2×1016 to 2.5×1016 Bq and estimates for the facility in Indonesia vary from 6.1×1013 to 3.6×1014 Bq. Although some releases from the facility in Argentina may reach these IMS sampling locations, the solution to the objective function is insensitive to the magnitude of those releases.

  9. SU-E-I-27: Estimating KERMA Area Product for CT Localizer Images

    SciTech Connect

    Ogden, K; Greene-Donnelly, K; Bennett, R; Thorpe, M

    2015-06-15

    Purpose: To estimate the free-in-air KERMA-Area Product (KAP) incident on patients due to CT localizer scans for common CT exams. Methods: In-plane beam intensity profiles were measured in localizer acquisition mode using OSLs for a 64 slice MDCT scanner (Lightspeed VCT, GE Medical Systems, Waukesha WI). The z-axis beam width was measured as a function of distance from isocenter. The beam profile and width were used to calculate a weighted average air KERMA per unit mAs as a function of intercepted x-axis beam width for objects symmetric about the localizer centerline.Patient areas were measured using manually drawn regions and divided by localizer length to determine average width. Data were collected for 50 head exams (lateral localizer only), 15 head/neck exams, 50 chest exams, and 50 abdomen/pelvis exams. Mean patient widths and acquisition techniques were used to calculate the weighted average free-in-air KERMA, which was multiplied by the patient area to estimate KAP. Results: Scan technique was 120 kV tube voltage, 10 mA current, and table speed of 10 cm/s. The mean ± standard deviation values of KAP were 120 ± 11.6, 469 ± 62.6, 518 ± 45, and 763 ± 93 mGycm{sup 2} for head, head/neck, chest, and abdomen/pelvis exams, respectively. For studies with AP and lateral localizers, the AP/lateral area ratio was 1.20, 1.33, and 1.24 for the head/neck, chest, and abdomen/pelvis exams, respectively. However, the AP/lateral KAP ratios were 1.12, 1.08, and 1.07, respectively. Conclusion: Calculation of KAP in CT localizers is complicated by the non-uniform intensity profile and z-axis beam width. KAP values are similar to those for simple radiographic exams such as a chest radiograph and represent a small fraction of the x-ray exposure at CT. However, as CT doses are reduced the localizer contribution will be a more significant fraction of the total exposure.

  10. Source Term Estimates of Radioxenon Released from the BaTek Medical Isotope Production Facility Using External Measured Air Concentrations

    SciTech Connect

    Eslinger, Paul W.; Cameron, Ian M.; Dumais, Johannes R.; Imardjoko, Yudi; Marsoem, Pujadi; McIntyre, Justin I.; Miley, Harry S.; Stoehlker, Ulrich; Widodo, Susilo; Woods, Vincent T.

    2015-10-01

    Abstract Batan Teknologi (BaTek) operates an isotope production facility in Serpong, Indonesia that supplies 99mTc for use in medical procedures. Atmospheric releases of Xe-133 in the production process at BaTek are known to influence the measurements taken at the closest stations of the International Monitoring System (IMS). The purpose of the IMS is to detect evidence of nuclear explosions, including atmospheric releases of radionuclides. The xenon isotopes released from BaTek are the same as those produced in a nuclear explosion, but the isotopic ratios are different. Knowledge of the magnitude of releases from the isotope production facility helps inform analysts trying to decide whether a specific measurement result came from a nuclear explosion. A stack monitor deployed at BaTek in 2013 measured releases to the atmosphere for several isotopes. The facility operates on a weekly cycle, and the stack data for June 15-21, 2013 show a release of 1.84E13 Bq of Xe-133. Concentrations of Xe-133 in the air are available at the same time from a xenon sampler located 14 km from BaTek. An optimization process using atmospheric transport modeling and the sampler air concentrations produced a release estimate of 1.88E13 Bq. The same optimization process yielded a release estimate of 1.70E13 Bq for a different week in 2012. The stack release value and the two optimized estimates are all within 10 percent of each other. Weekly release estimates of 1.8E13 Bq and a 40 percent facility operation rate yields a rough annual release estimate of 3.7E13 Bq of Xe-133. This value is consistent with previously published estimates of annual releases for this facility, which are based on measurements at three IMS stations. These multiple lines of evidence cross-validate the stack release estimates and the release estimates from atmospheric samplers.

  11. Estimating Field-Scale Hydraulic Parameters of Heterogeneous Soils Using A Combination of Parameter Scaling and Inverse Methods

    SciTech Connect

    Zhang, Z. F.; Ward, Andy L.; Gee, Glendon W.

    2002-12-10

    As the Hanford Site transitions into remediation of contaminated soil waste sites and tank farm closure, more information is needed about the transport of contaminants as they move through the vadose zone to the underlying water table. The hydraulic properties must be characterized for accurate simulation of flow and transport. This characterization includes the determination of soil texture types, their three-dimensional distribution, and the parameterization of each soil texture. This document describes a method to estimate the soil hydraulic parameter using the parameter scaling concept (Zhang et al. 2002) and inverse techniques. To this end, the Groundwater Protection Program Science and Technology Project funded vadose zone transport field studies, including analysis of the results to estimate field-scale hydraulic parameters for modeling. Parameter scaling is a new method to scale hydraulic parameters. The method relates the hydraulic-parameter values measured at different spatial scales for different soil textures. Parameter scaling factors relevant to a reference texture are determined using these local-scale parameter values, e.g., those measured in the lab using small soil cores. After parameter scaling is applied, the total number of unknown variables in hydraulic parameters is reduced by a factor equal to the number of soil textures. The field-scale values of the unknown variables can then be estimated using inverse techniques and a well-designed field experiment. Finally, parameters for individual textures are obtained through inverse scaling of the reference values using an a priori relationship between reference parameter values and the specific values for each texture. Inverse methods have the benefits of 1) calculating parameter values that produce the best-fit between observed and simulated values, 2) quantifying the confidence limits in parameter estimates and the predictions, 3) providing diagnostic statistics that quantify the quality of

  12. Pampo, Linguado, and Badejo Fields: Their discoveries, appraisals, and early production systems

    SciTech Connect

    Tigre, C.A.; Possato, S.

    1983-05-01

    The three oil fields Pampo, Linguado and Badejo are located in the southwesternmost known producing areas of the offshore Brazilian Campos Basin. They were discovered as a result of reflection seismic survey and produce from fractured lower Cretaceous (Neocomian) basalts, coquinas of the Aptian Lagoa Feia Formation, carbonates of the Albian Macae Formation and from Eocene sandstones of the Carapebus Member of the Campos Formation. This work describes the prospects, their results, the main reservoirs, correlations, continuity and diagenetic problems. Two early production systems are in operation engaged in gathering a better knowledge of the fields for the planning of a definitive production system.

  13. ,"Natural Gas Plant Field Production: Natural Gas Liquids "

    Energy Information Administration (EIA) (indexed site)

    Field Production: Natural Gas Liquids " ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Natural Gas Plant Field Production: Natural Gas Liquids ",16,"Monthly","8/2016","1/15/1981" ,"Release Date:","10/31/2016" ,"Next Release Date:","11/30/2016"

  14. Dynamics of particle production by strong electric fields in non-Abelian plasmas

    SciTech Connect

    Dawson, John F.; Mihaila, Bogdan; Cooper, Fred

    2010-03-01

    We develop methods for computing the dynamics of fermion pair production by strong color electric fields including backreaction using the semiclassical Boltzmann-Vlasov (B-V) equation. We implement the Schwinger pair production by inserting a source term in the B-V equation which includes Pauli-Blocking effects. We present numerical results for a model with SU(2) symmetries in (1+1) Cartesian dimensions.

  15. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

    Energy.gov [DOE] (indexed site)

    It contains estimates for material and manufacturing cost of complete 80 kWnet direct hydrogen proton exchange membrane fuel cell systems suitable for powering light duty ...

  16. ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF)

    DOE Data Explorer

    Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

    This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty estimates. Uncertainty estimates were needed in order to use uncertainty quantification (UQ) techniques with the data.

  17. ARM Best Estimate Data (ARMBE) Products for Climate Science for a Sustainable Energy Future (CSSEF)

    DOE Data Explorer

    Riihimaki, Laura; Gaustad, Krista; McFarlane, Sally

    2014-06-12

    This data set was created for the Climate Science for a Sustainable Energy Future (CSSEF) model testbed project and is an extension of the hourly average ARMBE dataset to other extended facility sites and to include uncertainty estimates. Uncertainty estimates were needed in order to use uncertainty quantification (UQ) techniques with the data.

  18. field

    National Nuclear Security Administration (NNSA)

    09%2A en Ten-Year Site Plans (TYSP) http:nnsa.energy.govaboutusouroperationsinfopsinfopstysp

    field field-type-text field-field-page-name">
  19. field

    National Nuclear Security Administration (NNSA)

    09%2A en Ten-Year Site Plans (TYSP) http:www.nnsa.energy.govaboutusouroperationsinfopsinfopstysp

    field field-type-text field-field-page-name">
  20. Production optimization of sucker rod pumping wells producing viscous oil in Boscan field, Venezuela

    SciTech Connect

    Guirados, C.; Sandoval, J.; Rivas, O.; Troconis, H.

    1995-12-31

    Boscan field is located in the western coast of Maracaibo lake and is operated by Maraven S.A., affiliate of Petroleos de Venezuela S.A. It has 315 active wells, 252 of which are produced with sucker rod pumping. Other artificial lift methods currently applied in this field are hydraulic (piston) pumping (39 wells) and ESP (24 wells). This paper presents the results of the production optimization of two sucker rod pumping wells of Boscan field producing viscous oil. This optimization has been possible due to the development of a new production scheme and the application of system analysis in completion design. The new production scheme involves the utilization of a subsurface stuffing box assembly and a slotted housing, both designed and patented by Intevep S.A., affiliate of Petroleos de Venezuela S.A. The completion design method and software used in the optimization study were also developed by Intevep S.A. The new production scheme and design method proved to be effective in preventing the causes of the above mentioned problems, allowing the increase of oil production under better operating conditions.

  1. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis

    Publication and Product Library

    This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

  2. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis: Independent Review

    SciTech Connect

    Not Available

    2009-09-01

    This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

  3. Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis

    SciTech Connect

    none,

    2009-09-01

    This independent review examines DOE cost targets for state-of-the art hydrogen production using water electrolysis.

  4. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

    Energy.gov [DOE] (indexed site)

    It contains estimates for material and manufacturing costs of complete 80 kWnet direct-hydrogen proton exchange membrane fuel cell systems suitable for powering light-duty ...

  5. Particle Production in Strong Electromagnetic Fields in Relativistic Heavy-Ion Collisions

    DOE PAGES [OSTI]

    Tuchin, Kirill

    2013-01-01

    I reviewmore » the origin and properties of electromagnetic fields produced in heavy-ion collisions. The field strength immediately after a collision is proportional to the collision energy and reaches ~ m π 2 at RHIC and ~ 10 m π 2 at LHC. I demonstrate by explicit analytical calculation that after dropping by about one-two orders of magnitude during the first fm/c of plasma expansion, it freezes out and lasts for as long as quark-gluon plasma lives as a consequence of finite electrical conductivity of the plasma. Magnetic field breaks spherical symmetry in the direction perpendicular to the reaction plane, and therefore all kinetic coefficients are anisotropic. I examine viscosity of QGP and show that magnetic field induces azimuthal anisotropy on plasma flow even in spherically symmetric geometry. Very strong electromagnetic field has an important impact on particle production. I discuss the problem of energy loss and polarization of fast fermions due to synchrotron radiation, consider photon decay induced by magnetic field, elucidate J / ψ dissociation via Lorentz ionization mechanism, and examine electromagnetic radiation by plasma. I conclude that all processes in QGP are affected by strong electromagnetic field and call for experimental investigation.« less

  6. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    vehicles that are tethered to petroleum fuels. ... wind, hydroelectric, solar, and biomass. Thus, fuel cell vehicles offer an ... 13. Gross stack cost vs. annual production rate ...

  7. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    been tethered to petroleum fuels, fuel cell ... wind, hydroelectric, solar, and biomass. Thus fuel cell vehicles offer an ... Figure 11. Stack cost vs. annual production rate ...

  8. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    vehicles that are tethered to petroleum fuels. ... wind, hydroelectric, solar, and biomass. Thus, fuel cell vehicles offer an ... 14. Gross stack cost vs. annual production rate ...

  9. mMass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Application: 2009 Update

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Mass Production Cost Estimation for Direct H 2 PEM Fuel Cell Systems for Automotive Applications: 2009 Update January 1, 2010 Prepared by: Brian D. James, Jeffrey A. Kalinoski & Kevin N. Baum One Virginia Square 3601 Wilson Boulevard, Suite 650 Arlington, Virginia 22201 703-243-3383 Prepared for: Contract No. GS-10F-0099J to the U.S. Department of Energy Energy Efficiency and Renewable Energy Office Hydrogen, Fuel Cells & Infrastructure Technologies Program ii Directed Technologies, Inc.

  10. Estimating the Performance and Economic Value of Multiple Concentrating Solar Power Technologies in a Production Cost Model

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Estimating the Performance and Economic Value of Multiple Concentrating Solar Power Technologies in a Production Cost Model Jennie Jorgenson, Paul Denholm, Mark Mehos, and Craig Turchi Technical Report NREL/TP-6A20-58645 December 2013 NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency & Renewable Energy Operated by the Alliance for Sustainable Energy, LLC This report is available at no cost from the National Renewable Energy Laboratory (NREL) at

  11. The Bulalo geothermal field, Philippines: Reservoir characteristics and response to production

    SciTech Connect

    Clemente, W.C.; Villadolid-Abrigo, F.L.

    1993-10-01

    The Bulalo geothermal field has been operating since 1979, and currently has 330 MWe of installed capacity. The field is associated with a 0.5 Ma dacite dome on the southeastern flank of the Late Pliocene to Quaternary Mt. Makiling stratovolcano. The reservoir occurs within pre-Makiling andesite flows and pyroclastic rocks capped by the volcanic products of Mt. Makiling. Initially, the reservoir was liquid-dominated with a two-phase zone overlying the neutral-pH liquid. Exploitation has resulted in an enlargement of the two-phase zone, return to the reservoir of separated waste liquid that has been injected, scaling in the wellbores and rock formation, and influx of cooler groundwaters. Return of injected waters to the reservoir and scaling have been the major reservoir management concerns. These have been mitigated effectively by relocating injection wells farther away from the production area and by dissolving scale from wells with an acid treatment.

  12. Overview of NETL Field Studies Related to Oil and Gas Production

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    ENERGY lab 18 Aug 2015 Richard Hammack, Monitoring Team Lead USDOE National Energy Technology Laboratory, Pittsburgh, PA Overview of NETL Field Studies Related to Oil and Gas Production DOE Tribal Leaders Forum Denver, Colorado Newfield Exploration, Bakken Petroleum System, North Dakota * Reduce Environmental Impacts * Demonstrate Safe/Reliable Operations * Improve Efficiency of Hydraulic Fracturing Program Objectives * Surface Monitoring - Ambient Air Quality - Air Emissions - Ground Motion -

  13. Structurally controlled porosity evolution and production, La Paz Field, Maracaibo basin, Venezuela

    SciTech Connect

    Nelson, R.A.; Moldovanyi, E.P.; Matcek, C.C.

    1996-08-01

    La Paz Field is a large inversion structure, partially uplifted in the late Eocene and later inverted in the Mio-Pliocene. Fracture distributions, initial rates, cumulative production, pressure declines and trends in formation water chemistry suggest the reservoir is compartmentalized and that reservoir quality and reserves are controlled by the position of current strike-slip faults and by the geometry of the earlier Eocene block uplift. Within the area of Eocene uplift, production levels are high and drainage areas overlap substantially. This suggests highly elliptical to linear drainage along faults, higher than anticipated matrix storage, or likely a combination of the two. Diagenetic microporosity may be an important component in matrix storage, and may be due to water-rock interactions within the Eocene uplifted block. Initial and cumulative production, formation water chemistry, and lower than anticipated baseline fracture intensity in cores support the concept that in La Paz Field rate and reserves are dependent on the interaction of planar zones of intense fracturing along faults and secondary porosity (macro & micro) in the matrix. In fields like this, reserves may be optimally developed by judicious selection of well locations and well paths.

  14. Magnetophoretic potential at the movement of cluster products of electrochemical reactions in an inhomogeneous magnetic field

    SciTech Connect

    Gorobets, O. Yu. Gorobets, Yu. I.; Rospotniuk, V. P.

    2015-08-21

    An electric field arises from the influence of a nonuniform static magnetic field on charged colloid particles with magnetic susceptibility different from that of the surrounding liquid. It arises, for example, under the influence of a nonuniform static magnetic field in clusters of electrochemical reaction products created during metal etching, deposition, and corrosion processes without an external electric current passing through an electrolyte near a magnetized electrode surface. The corresponding potential consists of a Nernst potential of inhomogeneous distribution of concentration of colloid particles and a magnetophoretic potential (MPP). This potential has been calculated using a thermodynamic approach based on the equations of thermodynamics of nonequilibrium systems and the Onsager relations for a mass flow of correlated magnetic clusters under a gradient magnetic force in the electrolyte. The conditions under which the MPP contribution to the total electric potential may be significant are discussed with a reference to the example of a corroding spherical ferromagnetic steel electrode.

  15. A review of the Arun field gas production/cycling and LNG export project. [Sumatra, Indonesia

    SciTech Connect

    Alford, M.E.

    1983-03-01

    The Arun field was discovered by Mobil Oil Indonesia Inc. in late 1971 in its Bee block in the Aceh province on the north coast of Sumatra, Indonesia. Mobil's operations in this area are conducted under the terms of a production sharing agreement with Pertamina, the Indonesian state-owned oil and gas enterprise. The scope of operations covered by this paper is from production of gas and raw condensate in the field through stabilization and export of condensate and purification, liquefaction, and export of gas at the LNG plant at Blang Lancang, near Lho Seumawe (Sumatra) Indonesia. Mobil Oil Indonesia, Inc. is the field operator and P.T. Arun NGL Company operates the pipelines and LNG plant facilities. All the facilities which will be described are owned by Pertamina; P.T. Arun is owned by Pertamina, Mobil Oil Indonesia, and Japan Indonesia LNG company (JILCO). JILCO represents the five (5) original Japanese LNG purchasers. Brief descriptions are included of the geology, reservoir geometry, well producing characteristics, field producing and cycling facilities, and the treating, liquefaction and export facilities.

  16. Estimating Hydrogen Production Potential in Biorefineries Using Microbial Electrolysis Cell Technology

    SciTech Connect

    Borole, Abhijeet P; Mielenz, Jonathan R

    2011-01-01

    Microbial electrolysis cells (MECs) are devices that use a hybrid biocatalysis-electrolysis process for production of hydrogen from organic matter. Future biofuel and bioproducts industries are expected to generate significant volumes of waste streams containing easily degradable organic matter. The emerging MEC technology has potential to derive added- value from these waste streams via production of hydrogen. Biorefinery process streams, particularly the stillage or distillation bottoms contain underutilized sugars as well as fermentation and pretreatment byproducts. In a lignocellulosic biorefinery designed for producing 70 million gallons of ethanol per year, up to 7200 m3/hr of hydrogen can be generated. The hydrogen can either be used as an energy source or a chemical reagent for upgrading and other reactions. The energy content of the hydrogen generated is sufficient to meet 57% of the distillation energy needs. We also report on the potential for hydrogen production in existing corn mills and sugar-based biorefineries. Removal of the organics from stillage has potential to facilitate water recycle. Pretreatment and fermentation byproducts generated in lignocellulosic biorefinery processes can accumulate to highly inhibitory levels in the process streams, if water is recycled. The byproducts of concern including sugar- and lignin- degradation products such as furans and phenolics can also be converted to hydrogen in MECs. We evaluate hydrogen production from various inhibitory byproducts generated during pretreatment of various types of biomass. Finally, the research needs for development of the MEC technology and aspects particularly relevant to the biorefineries are discussed.

  17. Integration of the geological/engineering model with production performance for Patrick Draw Field, Wyoming

    SciTech Connect

    Jackson, S.

    1993-03-01

    The NIPER Reservoir Assessment and Characterization Research Program incorporates elements of the near-term, mid-term and long-term objectives of the National Energy Strategy-Advanced Oil Recovery Program. The interdisciplinary NIPER team focuses on barrier island reservoirs, a high priority class of reservoirs, that contains large amounts of remaining oil in place located in mature fields with a high number of shut-in and abandoned wells. The project objectives are to: (1) identify heterogeneities that influence the movement and trapping of reservoir fluids in two examples of shoreline barrier reservoirs (Patrick Draw Field, WY and Bell Creek Field, MT); (2) develop geological and engineering reservoir characterization methods to quantify reservoir architecture and predict mobile oil saturation distribution for application of targeted infill drilling and enhanced oil recovery (EOR) processes; and (3) summarize reservoir and production characteristics of shoreline barrier reservoirs to determine similarities and differences. The major findings of the research include: (1) hydrogeochemical analytical techniques were demonstrated to be an inexpensive reservoir characterization tool that provides information on reservoir architecture and compartmentalization; (2) the formation water salinity in Patrick Draw Field varies widely across the field and can result in a 5 to 12% error in saturation values calculated from wireline logs if the salinity variations and corresponding resistivity values are not accounted for; and (3) an analysis of the enhanced oil recovery (EOR) potential of Patrick Draw Field indicates that CO[sub 2] flooding in the Monell Unit and horizontal drilling in the Arch Unit are potential methods to recover additional oil from the field.

  18. Integration of the geological/engineering model with production performance for Patrick Draw Field, Wyoming

    SciTech Connect

    Jackson, S.

    1993-03-01

    The NIPER Reservoir Assessment and Characterization Research Program incorporates elements of the near-term, mid-term and long-term objectives of the National Energy Strategy-Advanced Oil Recovery Program. The interdisciplinary NIPER team focuses on barrier island reservoirs, a high priority class of reservoirs, that contains large amounts of remaining oil in place located in mature fields with a high number of shut-in and abandoned wells. The project objectives are to: (1) identify heterogeneities that influence the movement and trapping of reservoir fluids in two examples of shoreline barrier reservoirs (Patrick Draw Field, WY and Bell Creek Field, MT); (2) develop geological and engineering reservoir characterization methods to quantify reservoir architecture and predict mobile oil saturation distribution for application of targeted infill drilling and enhanced oil recovery (EOR) processes; and (3) summarize reservoir and production characteristics of shoreline barrier reservoirs to determine similarities and differences. The major findings of the research include: (1) hydrogeochemical analytical techniques were demonstrated to be an inexpensive reservoir characterization tool that provides information on reservoir architecture and compartmentalization; (2) the formation water salinity in Patrick Draw Field varies widely across the field and can result in a 5 to 12% error in saturation values calculated from wireline logs if the salinity variations and corresponding resistivity values are not accounted for; and (3) an analysis of the enhanced oil recovery (EOR) potential of Patrick Draw Field indicates that CO{sub 2} flooding in the Monell Unit and horizontal drilling in the Arch Unit are potential methods to recover additional oil from the field.

  19. Radiatively Important Parameters Best Estimate (RIPBE): An ARM Value-Added Product

    SciTech Connect

    McFarlane, S; Shippert, T; Mather, J

    2011-06-30

    The Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to create a complete set of clearly identified set of parameters on a uniform vertical and temporal grid to use as input to a radiative transfer model. One of the main drivers for RIPBE was as input to the Broadband Heating Rate Profile (BBHRP) VAP, but we also envision using RIPBE files for user-run radiative transfer codes, as part of cloud/aerosol retrieval testbeds, and as input to averaged datastreams for model evaluation.

  20. Reference air kerma and kerma-area product as estimators of peak skin dose for fluoroscopically guided interventions

    SciTech Connect

    Kwon, Deukwoo; Little, Mark P.; Miller, Donald L.

    2011-07-15

    Purpose: To determine more accurate regression formulas for estimating peak skin dose (PSD) from reference air kerma (RAK) or kerma-area product (KAP). Methods: After grouping of the data from 21 procedures into 13 clinically similar groups, assessments were made of optimal clustering using the Bayesian information criterion to obtain the optimal linear regressions of (log-transformed) PSD vs RAK, PSD vs KAP, and PSD vs RAK and KAP. Results: Three clusters of clinical groups were optimal in regression of PSD vs RAK, seven clusters of clinical groups were optimal in regression of PSD vs KAP, and six clusters of clinical groups were optimal in regression of PSD vs RAK and KAP. Prediction of PSD using both RAK and KAP is significantly better than prediction of PSD with either RAK or KAP alone. The regression of PSD vs RAK provided better predictions of PSD than the regression of PSD vs KAP. The partial-pooling (clustered) method yields smaller mean squared errors compared with the complete-pooling method.Conclusion: PSD distributions for interventional radiology procedures are log-normal. Estimates of PSD derived from RAK and KAP jointly are most accurate, followed closely by estimates derived from RAK alone. Estimates of PSD derived from KAP alone are the least accurate. Using a stochastic search approach, it is possible to cluster together certain dissimilar types of procedures to minimize the total error sum of squares.

  1. Validation of the materials-process-product model (coal SNG). [Estimating method for comparing processes, changing assumptions and technology assessment

    SciTech Connect

    Albanese, A.; Bhagat, N.; Friend, L.; Lamontagne, J.; Pouder, R.; Vinjamuri, G.

    1980-03-01

    The use of coal as a source of high Btu gas is currently viewed as one possible means of supplementing dwindling natural gas supplies. While certain coal gasification processes have demonstrated technical feasibility, much uncertainty and inconsistency remains regarding the capital and operating costs of large scale coal conversion facilities; cost estimates may vary by as much as 50%. Studies conducted for the American Gas Association (AGA) and US Energy Research and Development Administration by C.F. Braun and Co. have defined technical specifications and cost guidelines for estimating costs of coal gasification technologies (AGA Guidelines). Based on the AGA Guidelines, Braun has also prepared cost estimates for selected coal gasification processes. Recent efforts by International Research and Technology Inc. (IR and T) have led to development of the Materials-Process-Product Model (MPPM), a comprehensive anaytic tool for evaluation of processes and costs for coal gasification and other coal conversion technologies. This validation of the MPPM presents a comparison of engineering and cost computation methodologies employed in the MPPM to those employed by Braun and comparison of MPPM results to Braun cost estimates. These comparisons indicate that the MPPM has the potential to be a valuable tool for assisting in the evaluation of coal gasification technologies.

  2. Clay mineralogy and its controls on production, Pennsylvanian upper Morrow sandstone, Farnsworth field, Ochiltree County, Texas

    SciTech Connect

    Munson, T.W. )

    1989-12-01

    Farnsworth field in Ochiltree County, Texas, is the most prolific upper Morrow oil field in the Anadarko basin, producing more than 36 million bbl of oil and 27 billion ft{sup 3} of gas since its discovery in 1955. The bulk of the production comes from an upper Morrow-aged sandstone locally referred to as the Buckhaults sandstone. The Buckhaults sandstone is a coarse to very coarse-grained, arkose to arkosic wacke. Grain-size distributions, sedimentary structure analysis, and sand-body geometry indicate that the Buckhaults was deposited in a fluvial-deltaic environment as distributary channel and distributary mouth-bar sands. Depositional strike is northwest to southeast. The source area for the Buckhaults sediments was primarily a plutonic igneous terrane, with a minor contribution from volcanic and reworked sedimentary rocks. The proposed source area is the Amarillo-Wichita uplift to the south. In addition, the Cimarron arch and/or Keyes dome to the west-northwest may also have contributed sediment to the study area. The large (average) grain size, the amount of feldspar present, and the overall immaturity of the Buckhaults sediments indicate a relatively short distance of transport. Detailed scanning electron microscopy and x-ray diffraction analysis of cores from the productive interval coupled with comparisons of varying completion practices across the field indicate a significant correlation between individual well performance, clay mineralogy, and completion technique.

  3. Shapiro-like resonance in ultracold molecule production via an oscillating magnetic field

    SciTech Connect

    Liu Bin; Fu Libin; Liu Jie

    2010-01-15

    We study the process of the production of ultracold molecules from ultracold atoms using a sinusoidally oscillating magnetic-field modulation. Our study is based on a two-mode mean-field treatment of the problem. When the magnetic field is resonant roughly with the molecular binding energy, Shapiro-like resonances are observed. Their resonance profiles are well fitted by the Lorentzian functions. The linewidths depend on both the amplitude and the duration of the applied modulations and are found to be dramatically broadened by the thermal dephasing effect. The resonance centers shift due to both the many-body effect and the finite temperature effect. Our theory is consistent with a recent experiment [S. T. Thompson, E. Hodby, and C. E. Wieman, Phys. Rev. Lett. 95, 190404 (2005)]. Our model predicts a 1/3 ceiling for the molecular production yield in uncondensed ultracold atomic clouds for a long coupling time, while for condensed atoms the optimal conversion yield could be beyond the limit.

  4. Electric field induced needle-pulsed arc discharge carbon nanotube production apparatus: Circuitry and mechanical design

    SciTech Connect

    Kia, Kaveh Kazemi; Bonabi, Fahimeh

    2012-12-15

    A simple and low cost apparatus is reported to produce multiwall carbon nanotubes and carbon nano-onions by a low power short pulsed arc discharge reactor. The electric circuitry and the mechanical design details and a micro-filtering assembly are described. The pulsed-plasma is generated and applied between two graphite electrodes. The pulse width is 0.3 {mu}s. A strong dc electric field is established along side the electrodes. The repetitive discharges occur in less than 1 mm distance between a sharp tip graphite rod as anode, and a tubular graphite as cathode. A hydrocarbon vapor, as carbon source, is introduced through the graphite nozzle in the cathode assembly. The pressure of the chamber is controlled by a vacuum pump. A magnetic field, perpendicular to the plasma path, is provided. The results show that the synergetic use of a pulsed-current and a dc power supply enables us to synthesize carbon nanoparticles with short pulsed plasma. The simplicity and inexpensiveness of this plan is noticeable. Pulsed nature of plasma provides some extra degrees of freedom that make the production more controllable. Effects of some design parameters such as electric field, pulse frequency, and cathode shape are discussed. The products are examined using scanning probe microscopy techniques.

  5. Twisted noncommutative field theory with the Wick-Voros and Moyal products

    SciTech Connect

    Galluccio, Salvatore; Lizzi, Fedele; Vitale, Patrizia

    2008-10-15

    We present a comparison of the noncommutative field theories built using two different star products: Moyal and Wick-Voros (or normally ordered). For the latter we discuss both the classical and the quantum field theory in the quartic potential case and calculate the Green's functions up to one loop, for the two- and four-point cases. We compare the two theories in the context of the noncommutative geometry determined by a Drinfeld twist, and the comparison is made at the level of Green's functions and S matrix. We find that while the Green's functions are different for the two theories, the S matrix is the same in both cases and is different from the commutative case.

  6. Biocompetitive exclusion technology: A field system to control reservoir souring and increasing production

    SciTech Connect

    Sandbeck, K.A.; Hitzman, D.O.

    1995-12-31

    Biogenic formation of sulfide in reservoirs by Sulfate Reducing Bacteria (SRB) causes serious plugging, corrosion, and environmental safety problems. The production of sulfide can be decreased, and its concentration reduced, by the establishment and growth of an indigenous microbial population which results in a replacement of the SRB population. This approach to modify the reservoir ecology utilizing preexisting carbon sources coupled with the introduction of an alternate electron acceptor forms the basis of a new Biocompetitive Exclusion technology which has the potential to enhance oil recovery and decrease paraffin deposition and corrosion. Preliminary field results from an ongoing DOE-sponsored research program will be discussed.

  7. Curing the UV/IR mixing for field theories with translation-invariant star products

    SciTech Connect

    Tanasa, Adrian; Vitale, Patrizia

    2010-03-15

    The ultraviolet/infrared (UV/IR) mixing of noncommutative field theories has been recently shown to be a generic feature of translation-invariant associative products. In this paper we propose to take into account the quantum corrections of the model to modify in this way the noncommutative action. This idea was already used to cure the UV/IR mixing for theories on Moyal space. We show that in the present framework also, this proposal proves successful for curing the mixing. We achieve this task by explicit calculations of one and higher loops Feynman amplitudes. For the sake of completeness, we compute the form of the new action in the matrix base for the Wick-Voros product.

  8. Integrating Ontological Knowledge and Textual Evidence in Estimating Gene and Gene Product Similarity

    SciTech Connect

    Sanfilippo, Antonio P.; Posse, Christian; Gopalan, Banu; Tratz, Stephen C.; Gregory, Michelle L.

    2006-06-08

    With the rising influence of the Gene On-tology, new approaches have emerged where the similarity between genes or gene products is obtained by comparing Gene Ontology code annotations associ-ated with them. So far, these approaches have solely relied on the knowledge en-coded in the Gene Ontology and the gene annotations associated with the Gene On-tology database. The goal of this paper is to demonstrate that improvements to these approaches can be obtained by integrating textual evidence extracted from relevant biomedical literature.

  9. Estimation of net primary productivity using a process-based model in Gansu Province, Northwest China

    SciTech Connect

    Wang, Peijuan; Xie, Donghui; Zhou, Yuyu; E, Youhao; Zhu, Qijiang

    2014-01-16

    The ecological structure in the arid and semi-arid region of Northwest China with forest, grassland, agriculture, Gobi, and desert, is complex, vulnerable, and unstable. It is a challenging and sustaining job to keep the ecological structure and improve its ecological function. Net primary productivity (NPP) modeling can help to improve the understanding of the ecosystem, and therefore, improve ecological efficiency. The boreal ecosystem productivity simulator (BEPS) model provides the possibility of NPP modeling in terrestrial ecosystem, but it has some limitations for application in arid and semi-arid regions. In this paper we improve the BEPS model, in terms of its water cycle by adding the processes of infiltration and surface runoff, to be applicable in arid and semi-arid regions. We model the NPP of forest, grass, and crop in Gansu Province as an experimental area in Northwest China in 2003 using the improved BEPS model, parameterized with moderate resolution remote sensing imageries and meteorological data. The modeled NPP using improved BEPS agrees better with the ground measurements in Qilian Mountain than that with original BEPS, with a higher R2 of 0.746 and lower root mean square error (RMSE) of 46.53 gC/m2 compared to R2 of 0.662 and RMSE of 60.19 gC/m2 from original BEPS. The modeled NPP of three vegetation types using improved BEPS show evident differences compared to that using original BEPS, with the highest difference ratio of 9.21% in forest and the lowest value of 4.29% in crop. The difference ratios between different vegetation types lie on the dependence on natural water sources. The modeled NPP in five geographic zones using improved BEPS are higher than those with original BEPS, with higher difference ratio in dry zones and lower value in wet zones.

  10. Rapid estimation of sugar release from winter wheat straw during bioethanol production using FTIR-photoacoustic spectroscopy

    DOE PAGES [OSTI]

    Bekiaris, Georgios; Lindedam, Jane; Peltre, Clément; Decker, Stephen R.; Turner, Geoffrey B.; Magid, Jakob; Bruun, Sander

    2015-06-18

    Complexity and high cost are the main limitations for high-throughput screening methods for the estimation of the sugar release from plant materials during bioethanol production. In addition, it is important that we improve our understanding of the mechanisms by which different chemical components are affecting the degradability of plant material. In this study, Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) was combined with advanced chemometrics to develop calibration models predicting the amount of sugars released after pretreatment and enzymatic hydrolysis of wheat straw during bioethanol production, and the spectra were analysed to identify components associated with recalcitrance. A total of 1122more » wheat straw samples from nine different locations in Denmark and one location in the United Kingdom, spanning a large variation in genetic material and environmental conditions during growth, were analysed. The FTIR-PAS spectra of non-pretreated wheat straw were correlated with the measured sugar release, determined by a high-throughput pretreatment and enzymatic hydrolysis (HTPH) assay. A partial least square regression (PLSR) calibration model predicting the glucose and xylose release was developed. The interpretation of the regression coefficients revealed a positive correlation between the released glucose and xylose with easily hydrolysable compounds, such as amorphous cellulose and hemicellulose. Additionally, we observed a negative correlation with crystalline cellulose and lignin, which inhibits cellulose and hemicellulose hydrolysis. FTIR-PAS was used as a reliable method for the rapid estimation of sugar release during bioethanol production. The spectra revealed that lignin inhibited the hydrolysis of polysaccharides into monomers, while the crystallinity of cellulose retarded its hydrolysis into glucose. Amorphous cellulose and xylans were found to contribute significantly to the released amounts of glucose and xylose

  11. Rapid estimation of sugar release from winter wheat straw during bioethanol production using FTIR-photoacoustic spectroscopy

    SciTech Connect

    Bekiaris, Georgios; Lindedam, Jane; Peltre, Clément; Decker, Stephen R.; Turner, Geoffrey B.; Magid, Jakob; Bruun, Sander

    2015-06-18

    Complexity and high cost are the main limitations for high-throughput screening methods for the estimation of the sugar release from plant materials during bioethanol production. In addition, it is important that we improve our understanding of the mechanisms by which different chemical components are affecting the degradability of plant material. In this study, Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS) was combined with advanced chemometrics to develop calibration models predicting the amount of sugars released after pretreatment and enzymatic hydrolysis of wheat straw during bioethanol production, and the spectra were analysed to identify components associated with recalcitrance. A total of 1122 wheat straw samples from nine different locations in Denmark and one location in the United Kingdom, spanning a large variation in genetic material and environmental conditions during growth, were analysed. The FTIR-PAS spectra of non-pretreated wheat straw were correlated with the measured sugar release, determined by a high-throughput pretreatment and enzymatic hydrolysis (HTPH) assay. A partial least square regression (PLSR) calibration model predicting the glucose and xylose release was developed. The interpretation of the regression coefficients revealed a positive correlation between the released glucose and xylose with easily hydrolysable compounds, such as amorphous cellulose and hemicellulose. Additionally, we observed a negative correlation with crystalline cellulose and lignin, which inhibits cellulose and hemicellulose hydrolysis. FTIR-PAS was used as a reliable method for the rapid estimation of sugar release during bioethanol production. The spectra revealed that lignin inhibited the hydrolysis of polysaccharides into monomers, while the crystallinity of cellulose retarded its hydrolysis into glucose. Amorphous cellulose and xylans were found to contribute significantly to the released amounts of glucose and xylose, respectively.

  12. Savings estimates for the United States Environmental Protection Agency?s ENERGY STAR voluntary product labeling program

    SciTech Connect

    Sanchez, Marla Christine; Sanchez, Marla Christine; Brown, Richard; Homan, Gregory; Webber, Carrie

    2008-06-03

    ENERGY STAR is a voluntary energy efficiency-labeling program operated jointly by the United States Department of Energy and the United States Environmental Protection Agency (US EPA). Since the program inception in 1992, ENERGY STAR has become a leading international brand for energy efficient products. ENERGY STAR's central role in the development of regional, national, and international energy programs necessitates an open process whereby its program achievements to date as well as projected future savings are shared with committed stakeholders. Through 2006, US EPA?S ENERGY STAR labeled products saved 4.8 EJ of primary energy and avoided 82 Tg C equivalent. We project that US EPA?S ENERGY STAR labeled products will save 12.8 EJ and avoid 203 Tg C equivalent over the period 2007-2015. A sensitivity analysis examining two key inputs (carbon factor and ENERGY STAR unit sales) bounds the best estimate of carbon avoided between 54 Tg C and 107 Tg C (1993 to 2006) and between 132 Tg C and 278 Tg C (2007 to 2015).

  13. Published New Reservoir Proved Revision Revision New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    Coalbed methane proved reserves, reserves changes, and production, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved ...

  14. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update

    Crude oil proved reserves, reserves changes, and production, 2014 million barrels Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves ...

  15. Published New Reservoir Proved Revision Revision New Field Discoveries

    Annual Energy Outlook

    Lease condensate proved reserves, reserves changes, and production, 2014 million barrels Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved ...

  16. Structure, Permeability and Production Characteristics of the Heber, California Geothermal Field

    SciTech Connect

    James, E.D.; Hoang, V.T.; Epperson, I.J.

    1987-01-20

    The three key permeability elements of the Heber reservoir are “capping” clays above 1800', a sedimentary “matrix permeability” reservoir from 1800'-5500', and fracture permeability in indurated sediments below 5500'. The fractures are related to NW trending strike-slip faults and NE trending normal faults. Maps and cross sections with dipmeter, lost circulation, temperature and Kh data illustrate the structures and their control on the movement of thermal waters. Production creates a strong initial pressure decline in the field that rapidly stabilizes. The long-term pressure decline is predicted to be low (less than 5%). Temperature data show that current development is north of the source of the thermal plume. Reservoir modeling indicates that reservoir pressures will support further development. 14 figs., 2 refs.

  17. Continuous on-line steam quality monitoring system of the Bacman Geothermal Production Field, Philippines

    SciTech Connect

    Solis, R.P.; Chavez, F.C.; Garcia, S.E.

    1997-12-31

    In any operating geothermal power plant, steam quality is one of the most important parameters being monitored. In the Bacon-Manito Geothermal Production Field (BGPF), an online steam quality monitoring system have been installed in two operating power plants which provides an accurate, efficient and continuous real-time data which is more responsive to the various requirements of the field operation. The system utilizes sodium as an indicator of steam purity. Sodium concentration is read by the flame photometer located at the interface after aspirating a sample of the condensed steam through a continuous condensate sampler. The condensate has been degassed through a condensate-NCG separator. The flame photometer analog signal is then converted by a voltage-to-current converter/transmitter and relayed to the processor which is located at the control center through electrical cable to give a digital sodium concentration read-out at the control panel. The system features a high and high-high sodium level alarm, a continuous strip-chart recorder and a central computer for data capture, retrieval, and processing for further interpretation. Safety devices, such as the flame-off indicator at the control center and the automatic fuel cut-off device along the fuel line, are incorporated in the system.

  18. A Field Study on Simulation of CO 2 Injection and ECBM Production and Prediction of CO 2 Storage Capacity in Unmineable Coal Seam

    DOE PAGES [OSTI]

    He, Qin; Mohaghegh, Shahab D.; Gholami, Vida

    2013-01-01

    CO 2 sequestration into a coal seam project was studied and a numerical model was developed in this paper to simulate the primary and secondary coal bed methane production (CBM/ECBM) and carbon dioxide (CO 2 ) injection. The key geological and reservoir parameters, which are germane to driving enhanced coal bed methane (ECBM) and CO 2 sequestration processes, including cleat permeability, cleat porosity, CH 4 adsorption time, CO 2 adsorption time, CH 4 Langmuir isotherm, CO 2 Langmuir isotherm, and Palmer and Mansoori parameters, have been analyzed within a reasonable range. The model simulation results showed good matches formore » both CBM/ECBM production and CO 2 injection compared with the field data. The history-matched model was used to estimate the total CO 2 sequestration capacity in the field. The model forecast showed that the total CO 2 injection capacity in the coal seam could be 22,817 tons, which is in agreement with the initial estimations based on the Langmuir isotherm experiment. Total CO 2 injected in the first three years was 2,600 tons, which according to the model has increased methane recovery (due to ECBM) by 6,700 scf/d.« less

  19. Coupling field and laboratory measurements to estimate the emission factors of identified and unidentified trace gases for prescribed fires

    SciTech Connect

    Yokelson, Robert J.; Burling, Ian R.; Gilman, Jessica; Warneke, Carsten; Stockwell, Chelsea E.; de Gouw, Joost A.; Akagi, Sheryl; Urbanski, Shawn; Veres, Patrick; Roberts, James M.; Kuster, W. C.; Reardon, James; Griffith, David WT; Johnson, Timothy J.; Hosseini, SeyedEhsan; Miller, J. Wayne; Cocker, David R.; Jung, H.; Weise, David

    2013-01-07

    -arid SW fuels should likely be increased by about a factor of 2.7 to better represent field fires. Based on the lab/field comparison, we present a table with emission factors for 365 pyrogenic species (including unidentified species) for 4 broad fuel types: pine understory, semi-arid shrublands, evergreen canopy, and duff. To our knowledge this is the most complete measurement of biomass burning emissions to date and it should enable improved representation of smoke in atmospheric models. The results provide important insights into the nature of smoke. For example, ~35% (range from 16-71%) of the mass of gas-phase NMOC species was attributed to the species that we could not identify. These unidentified species are likely not represented in most models, but some provision should be made for the fact that they will react in the atmosphere. In addition, the total mass of gas-phase NMOC divided by the mass of co-emitted PM2.5 averaged ~2.6 for the main fire types with a range from ~1.8-8.8. About 36-63% of the NMOC were likely semivolatile or of intermediate volatility. Thus, the gas-phase NMOC represent a large reservoir of potential precursors for secondary formation of organic aerosol. For the one fire in organic soil (Alaskan duff) about 28% of the emitted carbon was present as gas-phase NMOC in contrast to the other fuels for which NMOC accounted for only ~1-3% of emitted carbon. 71% of the mass of NMOC emitted by the smoldering duff was un-identified. The duff results highlight the need to learn more about the emissions from smoldering organic soils. The ?NMOC/NOx-as-NO ratio was consistently about ten for the main fire types when accounting for all NMOC, indicating strongly NOx-limited O3 production conditions. Finally, the fuel consumption per unit area was measured on 6 of the 14 prescribed fires and averaged 7.08 2.09 (1?) Mg ha-1.

  20. Coalbed Methane Estimated Production

    Gasoline and Diesel Fuel Update

    1,966 1,914 1,886 1,763 1,655 1,466 1989-2013 Federal Offshore U.S. 0 0 0 0 0 0 2005-2013 Pacific (California) 0 0 0 0 0 0 2005-2013 Gulf of Mexico (Louisiana & Alabama) 0 0 0 0 0...

  1. Coalbed Methane Estimated Production

    Energy Information Administration (EIA) (indexed site)

    1,914 1,886 1,763 1,655 1,466 1,404 1989-2014 Federal Offshore U.S. 0 0 0 0 0 0 2005-2014 Pacific (California) 0 0 0 0 0 0 2005-2014 Gulf of Mexico (Louisiana & Alabama) 0 0 0 0 0 0 2005-2014 Gulf of Mexico (Texas) 0 0 0 0 0 0 2005-2014 Alaska 0 0 0 0 0 0 2005-2014 Lower 48 States 1,914 1,886 1,763 1,655 1,466 1,404 2005-2014 Alabama 105 102 98 91 62 78 1989-2014 Arkansas 3 3 4 2 2 2 2005-2014 California 0 0 0 0 0 0 2005-2014 Coastal Region Onshore 0 0 0 0 0 0 2005-2014 Los Angeles Basin

  2. Lease Condensate Estimated Production

    Energy Information Administration (EIA) (indexed site)

    78 224 231 274 311 326 1979-2014 Federal Offshore U.S. 48 48 40 40 30 32 1981-2014 Pacific (California) 0 0 0 0 0 0 1979-2014 Gulf of Mexico (Louisiana & Alabama) 28 28 24 20 14 15 1981-2014 Gulf of Mexico (Texas) 20 20 16 20 16 17 1981-2014 Alaska 0 0 20 20 16 0 1979-2014 Lower 48 States 178 224 211 254 295 326 1979-2014 Alabama 2 2 2 2 2 1 1979-2014 Arkansas 0 0 0 0 0 0 1979-2014 California 0 0 0 0 0 1 1979-2014 Coastal Region Onshore 0 0 0 0 0 0 1979-2014 Los Angeles Basin Onshore 0 0 0 0

  3. A test of the 'one-point method' for estimating maximum carboxylation capacity from field-measured, light-saturated photosynthesis

    DOE PAGES [OSTI]

    Martin G. De Kauwe; Serbin, Shawn P.; Lin, Yan -Shih; Wright, Ian J.; Medlyn, Belinda E.; Crous, Kristine Y.; Ellsworth, David S.; Maire, Vincent; Prentice, I. Colin; Atkin, Owen K.; et al

    2015-12-31

    Here, simulations of photosynthesis by terrestrial biosphere models typically need a specification of the maximum carboxylation rate (Vcmax). Estimating this parameter using A–Ci curves (net photosynthesis, A, vs intercellular CO2 concentration, Ci) is laborious, which limits availability of Vcmax data. However, many multispecies field datasets include net photosynthetic rate at saturating irradiance and at ambient atmospheric CO2 concentration (Asat) measurements, from which Vcmax can be extracted using a ‘one-point method’.

  4. VirtualToxLab A platform for estimating the toxic potential of drugs, chemicals and natural products

    SciTech Connect

    Vedani, Angelo; Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel ; Dobler, Max; Smieko, Martin

    2012-06-01

    The VirtualToxLab is an in silico technology for estimating the toxic potential (endocrine and metabolic disruption, some aspects of carcinogenicity and cardiotoxicity) of drugs, chemicals and natural products. The technology is based on an automated protocol that simulates and quantifies the binding of small molecules towards a series of proteins, known or suspected to trigger adverse effects. The toxic potential, a non-linear function ranging from 0.0 (none) to 1.0 (extreme), is derived from the individual binding affinities of a compound towards currently 16 target proteins: 10 nuclear receptors (androgen, estrogen ?, estrogen ?, glucocorticoid, liver X, mineralocorticoid, peroxisome proliferator-activated receptor ?, progesterone, thyroid ?, and thyroid ?), four members of the cytochrome P450 enzyme family (1A2, 2C9, 2D6, and 3A4), a cytosolic transcription factor (aryl hydrocarbon receptor) and a potassium ion channel (hERG). The interface to the technology allows building and uploading molecular structures, viewing and downloading results and, most importantly, rationalizing any prediction at the atomic level by interactively analyzing the binding mode of a compound with its target protein(s) in real-time 3D. The VirtualToxLab has been used to predict the toxic potential for over 2500 compounds: the results are posted on (http://www.virtualtoxlab.org). The free platform the OpenVirtualToxLab is accessible (in clientserver mode) over the Internet. It is free of charge for universities, governmental agencies, regulatory bodies and non-profit organizations. -- Highlights: ? In silico technology for estimating the toxic potential of drugs and chemicals. ? Simulation of binding towards 16 proteins suspected to trigger adverse effects. ? Mechanistic interpretation and real-time 3D visualization. ? Accessible over the Internet. ? Free of charge for universities, governmental agencies, regulatory bodies and NPOs.

  5. Sample size requirements for estimating effective dose from computed tomography using solid-state metal-oxide-semiconductor field-effect transistor dosimetry

    SciTech Connect

    Trattner, Sigal; Cheng, Bin; Pieniazek, Radoslaw L.; Hoffmann, Udo; Douglas, Pamela S.; Einstein, Andrew J.

    2014-04-15

    Purpose: Effective dose (ED) is a widely used metric for comparing ionizing radiation burden between different imaging modalities, scanners, and scan protocols. In computed tomography (CT), ED can be estimated by performing scans on an anthropomorphic phantom in which metal-oxide-semiconductor field-effect transistor (MOSFET) solid-state dosimeters have been placed to enable organ dose measurements. Here a statistical framework is established to determine the sample size (number of scans) needed for estimating ED to a desired precision and confidence, for a particular scanner and scan protocol, subject to practical limitations. Methods: The statistical scheme involves solving equations which minimize the sample size required for estimating ED to desired precision and confidence. It is subject to a constrained variation of the estimated ED and solved using the Lagrange multiplier method. The scheme incorporates measurement variation introduced both by MOSFET calibration, and by variation in MOSFET readings between repeated CT scans. Sample size requirements are illustrated on cardiac, chest, and abdomenpelvis CT scans performed on a 320-row scanner and chest CT performed on a 16-row scanner. Results: Sample sizes for estimating ED vary considerably between scanners and protocols. Sample size increases as the required precision or confidence is higher and also as the anticipated ED is lower. For example, for a helical chest protocol, for 95% confidence and 5% precision for the ED, 30 measurements are required on the 320-row scanner and 11 on the 16-row scanner when the anticipated ED is 4 mSv; these sample sizes are 5 and 2, respectively, when the anticipated ED is 10 mSv. Conclusions: Applying the suggested scheme, it was found that even at modest sample sizes, it is feasible to estimate ED with high precision and a high degree of confidence. As CT technology develops enabling ED to be lowered, more MOSFET measurements are needed to estimate ED with the same

  6. Increasing Heavy Oil Reserves in the Wilmington Oil Field Through Advanced Reservoir Characterization and Thermal Production Technologies, Class III

    SciTech Connect

    City of Long Beach; Tidelands Oil Production Company; University of Southern California; David K. Davies and Associates

    2002-09-30

    The objective of this project was to increase the recoverable heavy oil reserves within sections of the Wilmington Oil Field, near Long Beach, California through the testing and application of advanced reservoir characterization and thermal production technologies. The successful application of these technologies would result in expanding their implementation throughout the Wilmington Field and, through technology transfer, to other slope and basin clastic (SBC) reservoirs.

  7. Increasing Heavy Oil Reserves in the Wilmington Oil Field Through Advanced Reservoir Characterization and Thermal Production Technologies, Class III

    SciTech Connect

    City of Long Beach; Tidelands Oil Production Company; University of Southern California; David K. Davies and Associates

    2002-09-30

    The objective of this project was to increase the recoverable heavy oil reserves within sections of the Wilmington Oil Field, near Long Beach, California through the testing and application of advanced reservoir characterization and thermal production technologies. It was hoped that the successful application of these technologies would result in their implementation throughout the Wilmington Field and, through technology transfer, will be extended to increase the recoverable oil reserves in other slope and basin clastic (SBC) reservoirs.

  8. Evaluating oil quality and monitoring production from heavy oil reservoirs using geochemical methods: Application to the Boscan Field, Venezuela

    SciTech Connect

    Kaufman, R.L.; Noguera, V.H.; Bantz, D.M.; Rodriguez, R.

    1996-08-01

    Many oil fields worldwide contain heavy oil in one or more reservoir units. The low gravity of these oils is most frequently due to biodegradation and/or low maturity. The challenge is to find ways to economically recover this oil. Methods which reduce the operating costs of producing heavy oil add significant value to such projects. Geochemical techniques which use the composition of the reservoir fluids as natural tracers offer cost effective methods to assist with reservoir management. The low viscosity and gravity of heavy oil, combined with frequent high water cuts, low flow rates, and the presence of downhole artificial lift equipment, make many conventional production logging methods difficult to apply. Therefore, monitoring production, especially if the produced oil is commingled from multiple reservoirs, can be difficult. Geochemical methods can be used to identify oil/water contacts, tubing string leaks and to allocate production to individual zones from commingled production. An example of a giant heavy oil field where geochemical methods may be applicable is the Boscan Field in Venezuela. Low maturity oil, averaging 10{degrees} API gravity, is produced from the Eocene Upper and Lower Boscan (Miosa) Sands. Geochemical, stratigraphic and engineering data have helped to better define the controls on oil quality within the field, identified new reservoir compartments and defined unique characteristics of the Upper and Lower Boscan oils. This information can be used to identify existing wells in need of workovers due to mechanical problems and to monitor production from new infill wells.

  9. An evaluation of gas field rules in light of current conditions and production practices in the Panhandle non-associated gas fields

    SciTech Connect

    Brady, C.L.; O`Rear, C.H.

    1996-09-01

    During the early years of development in the Panhandle fields the Rule of Capture was king. Under the Rule of Capture each property owner has the right to drill as many wells as desired at any location. Adjacent property owners protect their rights by doing the same. Courts adopted the Rule of Capture to protect mineral owners from liability due to migration of oil and gas across property boundary lines. This general practice {open_quotes}to go and do likewise{close_quotes} generally leads to enormous economic and natural resource waste. Established to offset the waste created under the Rule of Capture is the doctrine of Correlative Rights. Correlative Rights is the fight of each mineral owner to obtain oil and gas from a common source of supply under lawful operations conducted from his property. However, each mineral owner has a duty to every other mineral owner not to extract oil and gas in a manner injurious to the common source of supply. This paper will examine the historical context of these common law principles with regard to the Panhandle non-associated gas fields. Discovered in 1917, the Panhandle fields are ideal to evaluate the merit of statutes and regulations enacted in response to production practices. As in many Texas fields, proration in the Panhandle fields is the primary mechanism to protect correlative rights and prevent waste. Signed and made effective May 1989, the current field rules pre-date much of the enhanced recovery techniques that use well-head vacuum compression. This paper reviews the gas rules in the 1989 Texas Railroad Commission order in light of current reservoir conditions and production practices.

  10. ,"U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet)"

    Energy Information Administration (EIA) (indexed site)

    Estimated Production from Reserves (Billion Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release

  11. The effect of the geomagnetic field on cosmic ray energy estimates and large scale anisotropy searches on data from the Pierre Auger Observatory

    SciTech Connect

    Abreu, P.; Aglietta, M.; Ahn, E.J.; Albuquerque, I.F.M.; Allard, D.; Allekotte, I.; Allen, J.; Allison, P.; Alvarez Castillo, J.; Alvarez-Muniz, J.; Ambrosio, M.; ,

    2011-11-01

    We present a comprehensive study of the influence of the geomagnetic field on the energy estimation of extensive air showers with a zenith angle smaller than 60{sup o}, detected at the Pierre Auger Observatory. The geomagnetic field induces an azimuthal modulation of the estimated energy of cosmic rays up to the {approx} 2% level at large zenith angles. We present a method to account for this modulation of the reconstructed energy. We analyse the effect of the modulation on large scale anisotropy searches in the arrival direction distributions of cosmic rays. At a given energy, the geomagnetic effect is shown to induce a pseudo-dipolar pattern at the percent level in the declination distribution that needs to be accounted for. In this work, we have identified and quantified a systematic uncertainty affecting the energy determination of cosmic rays detected by the surface detector array of the Pierre Auger Observatory. This systematic uncertainty, induced by the influence of the geomagnetic field on the shower development, has a strength which depends on both the zenith and the azimuthal angles. Consequently, we have shown that it induces distortions of the estimated cosmic ray event rate at a given energy at the percent level in both the azimuthal and the declination distributions, the latter of which mimics an almost dipolar pattern. We have also shown that the induced distortions are already at the level of the statistical uncertainties for a number of events N {approx_equal} 32 000 (we note that the full Auger surface detector array collects about 6500 events per year with energies above 3 EeV). Accounting for these effects is thus essential with regard to the correct interpretation of large scale anisotropy measurements taking explicitly profit from the declination distribution.

  12. A test of the 'one-point method' for estimating maximum carboxylation capacity from field-measured, light-saturated photosynthesis

    SciTech Connect

    Martin G. De Kauwe; Serbin, Shawn P.; Lin, Yan -Shih; Wright, Ian J.; Medlyn, Belinda E.; Crous, Kristine Y.; Ellsworth, David S.; Maire, Vincent; Prentice, I. Colin; Atkin, Owen K.; Rogers, Alistair; Niinemets, Ulo; Meir, Patrick; Uddling, Johan; Togashi, Henrique F.; Tarvainen, Lasse; Weerasinghe, Lasantha K.; Evans, Bradley J.; Ishida, F. Yoko; Domingues, Tomas F.

    2015-12-31

    Here, simulations of photosynthesis by terrestrial biosphere models typically need a specification of the maximum carboxylation rate (Vcmax). Estimating this parameter using A–Ci curves (net photosynthesis, A, vs intercellular CO2 concentration, Ci) is laborious, which limits availability of Vcmax data. However, many multispecies field datasets include net photosynthetic rate at saturating irradiance and at ambient atmospheric CO2 concentration (Asat) measurements, from which Vcmax can be extracted using a ‘one-point method’.

  13. Analytic Properties of Expectation Values of Products of Field Operators. Lectures

    DOE R&D Accomplishments

    Salam, A , Okubo, S

    1958-12-15

    A review is presented of the latest work on the axiomatic approach of field theory. An account is given of recent work in dispersion theory. (A.C.)

  14. Electromagnetically induced transparency with large delay-bandwidth product induced by magnetic resonance near field coupling to electric resonance

    SciTech Connect

    Li, Hai-ming; Liu, Shao-bin Liu, Si-yuan; Zhang, Hai-feng; Bian, Bo-rui; Kong, Xiang-kun; Wang, Shen-yun

    2015-03-16

    In this paper, we numerically and experimentally demonstrate electromagnetically induced transparency (EIT)-like spectral response with magnetic resonance near field coupling to electric resonance. Six split-ring resonators and a cut wire are chosen as the bright and dark resonator, respectively. An EIT-like transmission peak located between two dips can be observed with incident magnetic field excitation. A large delay bandwidth product (0.39) is obtained, which has potential application in quantum optics and communications. The experimental results are in good agreement with simulated results.

  15. Production of field-reversed mirror plasma with a coaxial plasma gun

    DOEpatents

    Hartman, Charles W.; Shearer, James W.

    1982-01-01

    The use of a coaxial plasma gun to produce a plasma ring which is directed into a magnetic field so as to form a field-reversed plasma confined in a magnetic mirror. Plasma thus produced may be used as a target for subsequent neutral beam injection or other similarly produced and projected plasma rings or for direct fusion energy release in a pulsed mode.

  16. Production of field-reversed mirror plasma with a coaxial plasma gun

    DOEpatents

    Hartman, C.W.; Shearer, J.W.

    The use of a coaxial plasma gun to produce a plasma ring which is directed into a magnetic field so as to form a field-reversed plasma confined in a magnetic mirror. Plasma thus produced may be used as a target for subsequent neutral beam injection or other similarly produced and projected plasma rings or for direct fusion energy release in a pulsed mode.

  17. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2008 Update

    Publication and Product Library

    This report estimates fuel cell system cost for systems produced in the years 2006, 2010, and 2015, and is the second annual update of a comprehensive automotive fuel cell cost analysis.

  18. Mass Production Cost Estimation For Direct H2 PEM Fuel Cell Systesm for Automotive Applications: 2010 Update

    Publication and Product Library

    This report is the fourth annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing costs of complete 80 kWnet direct‐hydrogen proton ex

  19. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2009 Update

    Publication and Product Library

    This report is the third annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing cost of complete 80 kWnet direct hydrogen proton exch

  20. Mass Production Cost Estimation For Direct H2 PEM Fuel Cell Systesm for Automotive Applications: 2010 Update

    Publication and Product Library

    This report is the fourth annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing costs of complete 80 kWnet direct?hydrogen proton ex

  1. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2007 Update

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report estimates fuel cell system cost for systems produced in the years 2007, 2010, and 2015, and is the first annual update of a comprehensive automotive fuel cell cost analysis.

  2. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications. 2008 Update

    SciTech Connect

    James, Brian D.; Kalinoski, Jeffrey A.

    2009-03-26

    This report estimates fuel cell system cost for systems produced in the years 2006, 2010, and 2015, and is the second annual update of a comprehensive automotive fuel cell cost analysis.

  3. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2007 Update

    SciTech Connect

    James, Brian D.; Kalinoski, Jeffrey A.

    2008-02-29

    This report estimates fuel cell system cost for systems produced in the years 2007, 2010, and 2015, and is the first annual update of a comprehensive automotive fuel cell cost analysis.

  4. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications: 2008 Update

    Office of Energy Efficiency and Renewable Energy (EERE)

    Report estimates fuel cell system cost for systems produced in the years 2006, 2010, and 2015, and is the second annual update of a comprehensive automotive fuel cell cost analysis.

  5. Field-project designs for carbon dioxide sequestration and enhanced coalbed methane production

    SciTech Connect

    W. Neal Sams; Grant Bromhal; Sinisha Jikich; Turgay Ertekin; Duane H. Smith

    2005-12-01

    Worldwide concerns about global warming and possible contributions to it from anthropogenic carbon dioxide have become important during the past several years. Coal seams may make excellent candidates for CO{sub 2} sequestration; coal-seam sequestration could enhance methane production and improve sequestration economics. Reservoir-simulation computations are an important component of any engineering design before carbon dioxide is injected underground. We have performed such simulations for a hypothetical pilot-scale project in representative coal seams. In these simulations we assume four horizontal production wells that form a square, that is, two wells drilled at right angles to each other forming two sides of a square, with another pair of horizontal wells similarly drilled to form the other two sides. Four shorter horizontal wells are drilled from a vertical well at the center of the square, forming two straight lines orthogonal to each other. By modifying coal properties, especially sorption rate, we have approximated different types of coals. By varying operational parameters, such as injector length, injection well pressure, time to injection, and production well pressure, we can evaluate different production schemes to determine an optimum for each coal type. Any optimization requires considering a tradeoff between total CO{sub 2} sequestered and the rate of methane production. Values of total CO{sub 2} sequestered and methane produced are presented for multiple coal types and different operational designs. 30 refs., 11 figs., 1 tab.

  6. Mass Production Cost Estimation for Direct H2 PEM Fuel Cell Systems for Automotive Applications. 2009 Update

    SciTech Connect

    James, Brian D.; Kalinoski, Jeffrey A.; Baum, Kevin N.

    2010-01-01

    This report is the third annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing cost of complete 80 kWnet direct hydrogen proton exchange membrane fuel cell systems suitable for powering light duty automobiles.

  7. Mass Production Cost Estimation For Direct H2 PEM Fuel Cell Systesm for Automotive Applications. 2010 Update

    SciTech Connect

    James, Brian D.; Kalinoski, Jeffrey A.; Baum, Kevin N.

    2010-09-30

    This report is the fourth annual update of a comprehensive automotive fuel cell cost analysis. It contains estimates for material and manufacturing costs of complete 80 kWnet direct-hydrogen proton exchange membrane fuel cell systems suitable for powering light-duty automobiles.

  8. Commissioning the neutron production of a Linac: Development of a simple tool for second cancer risk estimation

    SciTech Connect

    Romero-Expsito, M.; Snchez-Nieto, B.; Terrn, J. A.; Lopes, M. C.; Ferreira, B. C.; Grishchuk, D.; Sandn, C.; Moral-Snchez, S.; Melchor, M.; Domingo, C.; and others

    2015-01-15

    Purpose: Knowing the contribution of neutron to collateral effects in treatments is both a complex and a mandatory task. This work aims to present an operative procedure for neutron estimates in any facility using a neutron digital detector. Methods: The authors previous work established a linear relationship between the total second cancer risk due to neutrons (TR{sup n}) and the number of MU of the treatment. Given that the digital detector also presents linearity with MU, its response can be used to determine the TR{sup n} per unit MU, denoted as m, normally associated to a generic Linac model and radiotherapy facility. Thus, from the number of MU of each patient treatment, the associated risk can be estimated. The feasibility of the procedure was tested by applying it in eight facilities; patients were evaluated as well. Results: From the reading of the detector under selected irradiation conditions, m values were obtained for different machines, ranging from 0.25 10{sup ?4}% per MU for an Elekta Axesse at 10 MV to 6.5 10{sup ?4}% per MU for a Varian Clinac at 18 MV. Using these values, TR{sup n} of patients was estimated in each facility and compared to that from the individual evaluation. Differences were within the range of uncertainty of the authors methodology of equivalent dose and risk estimations. Conclusions: The procedure presented here allows an easy estimation of the second cancer risk due to neutrons for any patient, given the number of MU of the treatment. It will enable the consideration of this information when selecting the optimal treatment for a patient by its implementation in the treatment planning system.

  9. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2002-01-31

    The project involves using advanced reservoir characterization and thermal production technologies to improve thermal recovery techniques and lower operating and capital costs in a slope and basin clastic (SBC) reservoir in the Wilmington field, Los Angeles Co., Calif. Through September 2001, project work has been completed on the following activities: data preparation; basic reservoir engineering; developing a deterministic three dimensional (3-D) geologic model, a 3-D deterministic reservoir simulation model and a rock-log model; well drilling and completions; and surface facilities on the Fault Block II-A Tar Zone (Tar II-A). Work is continuing on research to understand the geochemistry and process regarding the sand consolidation well completion technique, final reservoir tracer work, operational work and research studies to prevent thermal-related formation compaction in the Tar II-A steamflood area, and operational work on the Tar V steamflood pilot and Tar II-A post-steamflood projects. The project team spent the Fourth Quarter 2001 performing routine well work and reservoir surveillance on the Tar II-A post-steamflood and Tar V pilot steamflood projects. The Tar II-A post-steamflood operation started in February 1999 and steam chest fillup occurred in September-October 1999. The targeted reservoir pressures in the ''T'' and ''D'' sands are maintained at 90 {+-} 5% hydrostatic levels by controlling water injection and gross fluid production and through the bimonthly pressure monitoring program enacted at the start of the post-steamflood phase. The project team ramped up well work activity from October 2000 through November 2001 to increase production and injection. In December, water injection well FW-88 was plug and abandoned and replaced by new well FW-295 into the ''D'' sands to accommodate the Port of Long Beach at their expense. Well workovers are planned for 2002 as described in the Operational Management section. Expanding thermal recovery operations

  10. Digital field-bus mode SCADA is key to offshore efficiency. [Automation of offshore gas production platforms

    SciTech Connect

    Cuthbert, P. )

    1994-02-01

    An all-digital SCADA network has been installed in one of the North Sea's largest natural gas fields, controlling the delivery of gas from Shell UK Exploration and Production's souther-area fields to a British Gas Terminal at Bacton, UK. The innovative use of digital technology -- based on the industry-standard HART field protocol -- to complete a digital communications link stretching from the onshore SCADA host right out to the process variable transmitters on the platforms, is playing a key role in the automation of the monitoring and control system by allowing Shell UK Expro to run the majority of the platforms unmanned. The SCADA system is part of a major refit being carried out by Shell Expro on its Leman field. The refit is part of the company's long-term strategy to extend the lifetime of this established field, which started operations in the late 1960s. In order to meet this goal, the prime requirements are to reduce operational costs and risk exposure, and the key element in this area was to reduce the need for resident staff and all of their associated support and equipment costs, through the deployment of automation. The system will achieve the project's cost-cutting aims, but also break new ground in control and monitoring technology for the gas industry, through the use of a smart transmitter scheme as a digital field communications within the wide-area network, using the protocol's all-digital capability in preference to the commonly used 4-20mA-compatible mode, will allow real-time monitoring and control, plus maintenance and diagnostics, to take place remotely. This paper describes the design of this system.

  11. Production of large volume, strongly magnetized laser-produced plasmas by use of pulsed external magnetic fields

    SciTech Connect

    Albertazzi, B.; Beard, J.; Billette, J.; Portugall, O.; Ciardi, A.; Vinci, T.; Albrecht, J.; Chen, S. N.; Da Silva, D.; Hirardin, B.; Nakatsutsumi, M.; Romagnagni, L.; Simond, S.; Veuillot, E.; Fuchs, J.; Burris-Mog, T.; Dittrich, S.; Herrmannsdoerfer, T.; Kroll, F.; Nitsche, S.; and others

    2013-04-15

    The production of strongly magnetized laser plasmas, of interest for laboratory astrophysics and inertial confinement fusion studies, is presented. This is achieved by coupling a 16 kV pulse-power system. This is achieved by coupling a 16 kV pulse-power system, which generates a magnetic field by means of a split coil, with the ELFIE laser facility at Ecole Polytechnique. In order to influence the plasma dynamics in a significant manner, the system can generate, repetitively and without debris, high amplitude magnetic fields (40 T) in a manner compatible with a high-energy laser environment. A description of the system and preliminary results demonstrating the possibility to magnetically collimate plasma jets are given.

  12. Combining Hierarchical and Associative Gene Ontology Relations with Textual Evidence in Estimating Gene and Gene Product Similarity

    SciTech Connect

    Sanfilippo, Antonio P.; Posse, Christian; Gopalan, Banu; Riensche, Roderick M.; Beagley, Nathaniel; Baddeley, Bob L.; Tratz, Stephen C.; Gregory, Michelle L.

    2007-03-01

    Gene and gene product similarity is a fundamental diagnostic measure in analyzing biological data and constructing predictive models for functional genomics. With the rising influence of the Gene Ontology, two complementary approaches have emerged where the similarity between two genes or gene products is obtained by comparing Gene Ontology (GO) annotations associated with the genes or gene products. One approach captures GO-based similarity in terms of hierarchical relations within each gene subontology. The other approach identifies GO-based similarity in terms of associative relations across the three gene subontologies. We propose a novel methodology where the two approaches can be merged with ensuing benefits in coverage and accuracy, and demonstrate that further improvements can be obtained by integrating textual evidence extracted from relevant biomedical literature.

  13. Field demonstration of coal combustion by-products based road sub-base in Illinois

    SciTech Connect

    Chugh, Y.P.; Mohanty, S.; Bryant, M.

    2006-07-01

    Development and demonstration of large-volume beneficial use applications for ponded fly ash are considered very important as a cost reduction strategy for the generation industry and value enhancement for the coal mining industry. One such application described is the road sub-base fo the Industry Access Truck Route in Meredosia, Illinois, which used approximately 77,000 cubic yard of compacted high loss-on-ignition (LOI) Class-F ponded fly ash. The Truck Route is a 24-feet wide road built on a 0 to 7 feet thick compacted fly ash sub-base. Illinois Department of Transportation estimated that the use of fly ash in this project saved more than $100,000 to the State of Illinois. Furthermore, natural resources in the form of relatively fertile soil were preserved by substituting fly ash for the available borrow in the area; quality agricultural topsoil is limited in the area. The article gives details of the project and reports favourable results on monitoring ground water quality. 2 refs., 1 fig.

  14. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2001-06-27

    The objective of this project is to increase the recoverable heavy oil reserves within sections of the Wilmington Oil Field, near Long Beach, California through the testing and application of advanced reservoir characterization and thermal production technologies. The successful application of these technologies will result in expanding their implementation throughout the Wilmington Field and, through technology transfer, to other slope and basin clastic (SBC) reservoirs. The existing steamflood in the Tar zone of Fault Block II-A (Tar II-A) has been relatively inefficient because of several producibility problems which are common in SBC reservoirs: inadequate characterization of the heterogeneous turbidite sands, high permeability thief zones, low gravity oil and non-uniform distribution of the remaining oil. This has resulted in poor sweep efficiency, high steam-oil ratios, and early steam breakthrough. Operational problems related to steam breakthrough, high reservoir pressure, and unconsolidated sands have caused premature well and downhole equipment failures. In aggregate, these reservoir and operational constraints have resulted in increased operating costs and decreased recoverable reserves. A suite of advanced reservoir characterization and thermal production technologies are being applied during the project to improve oil recovery and reduce operating costs.

  15. Determining Best Estimates and Uncertainties in Cloud Microphysical Parameters from ARM Field Data: Implications for Models, Retrieval Schemes and Aerosol-Cloud-Radiation Interactions

    SciTech Connect

    McFarquhar, Greg

    2015-12-28

    We proposed to analyze in-situ cloud data collected during ARM/ASR field campaigns to create databases of cloud microphysical properties and their uncertainties as needed for the development of improved cloud parameterizations for models and remote sensing retrievals, and for evaluation of model simulations and retrievals. In particular, we proposed to analyze data collected over the Southern Great Plains (SGP) during the Mid-latitude Continental Convective Clouds Experiment (MC3E), the Storm Peak Laboratory Cloud Property Validation Experiment (STORMVEX), the Small Particles in Cirrus (SPARTICUS) Experiment and the Routine AAF Clouds with Low Optical Water Depths (CLOWD) Optical Radiative Observations (RACORO) field campaign, over the North Slope of Alaska during the Indirect and Semi-Direct Aerosol Campaign (ISDAC) and the Mixed-Phase Arctic Cloud Experiment (M-PACE), and over the Tropical Western Pacific (TWP) during The Tropical Warm Pool International Cloud Experiment (TWP-ICE), to meet the following 3 objectives; derive statistical databases of single ice particle properties (aspect ratio AR, dominant habit, mass, projected area) and distributions of ice crystals (size distributions SDs, mass-dimension m-D, area-dimension A-D relations, mass-weighted fall speeds, single-scattering properties, total concentrations N, ice mass contents IWC), complete with uncertainty estimates; assess processes by which aerosols modulate cloud properties in arctic stratus and mid-latitude cumuli, and quantify aerosol’s influence in context of varying meteorological and surface conditions; and determine how ice cloud microphysical, single-scattering and fall-out properties and contributions of small ice crystals to such properties vary according to location, environment, surface, meteorological and aerosol conditions, and develop parameterizations of such effects.In this report we describe the accomplishments that we made on all 3 research objectives.

  16. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2001-11-01

    The project involves using advanced reservoir characterization and thermal production technologies to improve thermal recovery techniques and lower operating and capital costs in a slope and basin clastic (SBC) reservoir in the Wilmington field, Los Angeles Co., Calif. Through June 2001, project work has been completed on the following activities: data preparation; basic reservoir engineering; developing a deterministic three dimensional (3-D) geologic model, a 3-D deterministic reservoir simulation model and a rock-log model; well drilling and completions; and surface facilities on the Fault Block II-A Tar Zone (Tar II-A). Work is continuing on research to understand the geochemistry and process regarding the sand consolidation well completion technique, final reservoir tracer work, operational work and research studies to prevent thermal-related formation compaction in the Tar II-A steamflood area, and operational work on the Tar V steamflood pilot and Tar II-A post-steamflood projects. The project team spent the Third Quarter 2001 performing well work and reservoir surveillance on the Tar II-A post-steamflood project. The Tar II-A post-steamflood operation started in February 1999 and steam chest fillup occurred in September-October 1999. The targeted reservoir pressures in the ''T'' and ''D'' sands are maintained at 90 {+-} 5% hydrostatic levels by controlling water injection and gross fluid production and through the bimonthly pressure monitoring program enacted at the start of the post-steamflood phase. The project team ramped up well work activity from October 2000 to September 2001 to increase production and injection. This work will continue through 2001 as described in the Operational Management section. Expanding thermal recovery operations to other sections of the Wilmington Oil Field, including the Tar V horizontal well pilot steamflood project, is a critical part of the City of Long Beach and Tidelands Oil Production Company's development strategy for

  17. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2001-05-07

    The project involves using advanced reservoir characterization and thermal production technologies to improve thermal recovery techniques and lower operating and capital costs in a slope and basin clastic (SBC) reservoir in the Wilmington field, Los Angeles Co., CA. Through September 2000, project work has been completed on the following activities: data preparation; basic reservoir engineering; developing a deterministic three dimensional (3-D) geologic model, a 3-D deterministic reservoir simulation model and a rock-log model; well drilling and completions; and surface facilities on the Fault Block II-A Tar Zone (Tar II-A). Work is continuing on improving core analysis techniques, final reservoir tracer work, operational work and research studies to prevent thermal-related formation compaction in the Tar II-A steamflood area, and operational work on the Tar V steamflood pilot and Tar II-A post steamflood projects. Work was discontinued on the stochastic geologic model and developing a 3-D stochastic thermal reservoir simulation model of the Tar II-A Zone so the project team could use the 3-D deterministic reservoir simulation model to provide alternatives for the Tar II-A post steamflood operations and shale compaction studies. The project team spent the fourth quarter 2000 performing well work and reservoir surveillance on the Tar II-A post-steamflood project and the Tar V horizontal well steamflood pilot. Expanding thermal recovery operations to other sections of the Wilmington Oil Field, including the Tar V horizontal well pilot steamflood project, is a critical part of the City of Long Beach and Tidelands Oil Production Company's development strategy for the field. The current steamflood operations in the Tar V pilot are economical, but recent performance is below projections because of wellbore mechanical limitations that are being evaluated.

  18. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Unknown

    2001-08-08

    The objective of this project is to increase the recoverable heavy oil reserves within sections of the Wilmington Oil Field, near Long Beach, California, through the testing and application of advanced reservoir characterization and thermal production technologies. The hope is that successful application of these technologies will result in their implementation throughout the Wilmington Field and, through technology transfer, will be extended to increase the recoverable oil reserves in other slope and basin clastic (SBC) reservoirs. The existing steamflood in the Tar zone of Fault Block II-A (Tar II-A) has been relatively inefficient because of several producibility problems which are common in SBC reservoirs: inadequate characterization of the heterogeneous turbidite sands, high permeability thief zones, low gravity oil and non-uniform distribution of the remaining oil. This has resulted in poor sweep efficiency, high steam-oil ratios, and early steam breakthrough. Operational problems related to steam breakthrough, high reservoir pressure, and unconsolidated sands have caused premature well and downhole equipment failures. In aggregate, these reservoir and operational constraints have resulted in increased operating costs and decreased recoverable reserves. A suite of advanced reservoir characterization and thermal production technologies are being applied during the project to improve oil recovery and reduce operating costs, including: (1) Development of three-dimensional (3-D) deterministic and stochastic reservoir simulation models--thermal or otherwise--to aid in reservoir management of the steamflood and post-steamflood phases and subsequent development work. (2) Development of computerized 3-D visualizations of the geologic and reservoir simulation models to aid reservoir surveillance and operations. (3) Perform detailed studies of the geochemical interactions between the steam and the formation rock and fluids. (4) Testing and proposed application of a

  19. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2001-05-08

    The project involves using advanced reservoir characterization and thermal production technologies to improve thermal recovery techniques and lower operating and capital costs in a slope and basin clastic (SBC) reservoir in the Wilmington field, Los Angeles Co., CA. Through March 2001, project work has been completed on the following activities: data preparation; basic reservoir engineering; developing a deterministic three dimensional (3-D) geologic model, a 3-D deterministic reservoir simulation model and a rock-log model; well drilling and completions; and surface facilities on the Fault Block II-A Tar Zone (Tar II-A). Work is continuing on research to understand the geochemistry and process regarding the sand consolidation well completion technique, final reservoir tracer work, operational work and research studies to prevent thermal-related formation compaction in the Tar II-A steamflood area, and operational work on the Tar V steamflood pilot and Tar II-A post-steamflood projects. The project team spent the Second Quarter 2001 performing well work and reservoir surveillance on the Tar II-A post-steamflood project. The Tar II-A steamflood reservoirs have been operated over fifteen months at relatively stable pressures, due in large part to the bimonthly pressure monitoring program enacted at the start of the post-steamflood phase in January 1999. Starting in the Fourth Quarter 2000, the project team has ramped up activity to increase production and injection. This work will continue through 2001 as described in the Operational Management section. Expanding thermal recovery operations to other sections of the Wilmington Oil Field, including the Tar V horizontal well pilot steamflood project, is a critical part of the City of Long Beach and Tidelands Oil Production Company's development strategy for the field. The current steamflood operations in the Tar V pilot are economical, but recent performance is below projections because of wellbore mechanical

  20. Drilling Productivity Report

    Reports and Publications

    2016-01-01

    Energy Information Administration’s (EIA) new Drilling Productivity Report (DPR) takes a fresh look at oil and natural gas production, starting with an assessment of how and where drilling for hydrocarbons is taking place. The DPR uses recent data on the total number of drilling rigs in operation along with estimates of drilling productivity and estimated changes in production from existing oil and natural gas wells to provide estimated changes in oil and natural gas production for six key fields. EIA's approach does not distinguish between oil-directed rigs and gas-directed rigs because once a well is completed it may produce both oil and gas; more than half of the wells produce both.

  1. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2000-02-18

    The project involves using advanced reservoir characterization and thermal production technologies to improve thermal recovery techniques and lower operating and capital costs in a slope and basin clastic (SBC) reservoir in the Wilmington field, Los Angeles Co., CA. Through March 1999, project work has been completed related to data preparation, basic reservoir engineering, developing a deterministic three dimensional (3-D) geologic model, a 3-D deterministic reservoir simulation model, and a rock-log model, well drilling and completions, and surface facilities. Work is continuing on the stochastic geologic model, developing a 3-D stochastic thermal reservoir simulation model of the Fault Block IIA Tar (Tar II-A) Zone, and operational work and research studies to prevent thermal-related formation compaction. Thermal-related formation compaction is a concern of the project team due to observed surface subsidence in the local area above the steamflood project. Last quarter on January 12, the steamflood project lost its inexpensive steam source from the Harbor Cogeneration Plant as a result of the recent deregulation of electrical power rates in California. An operational plan was developed and implemented to mitigate the effects of the two situations. Seven water injection wells were placed in service in November and December 1998 on the flanks of the Phase 1 steamflood area to pressure up the reservoir to fill up the existing steam chest. Intensive reservoir engineering and geomechanics studies are continuing to determine the best ways to shut down the steamflood operations in Fault Block II while minimizing any future surface subsidence. The new 3-D deterministic thermal reservoir simulator model is being used to provide sensitivity cases to optimize production, steam injection, future flank cold water injection and reservoir temperature and pressure. According to the model, reservoir fill up of the steam chest at the current injection rate of 28,000 BPD and gross

  2. Estimating Methods

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1997-03-28

    Based on the project's scope, the purpose of the estimate, and the availability of estimating resources, the estimator can choose one or a combination of techniques when estimating an activity or project. Estimating methods, estimating indirect and direct costs, and other estimating considerations are discussed in this chapter.

  3. Estimating the Performance and Economic Value of Multiple Concentrating Solar Power Technologies in a Production Cost Model

    SciTech Connect

    Jorgenson, Jennie; Denholm, Paul; Mehos, Mark; Turchi, Craig

    2013-12-01

    Concentrating solar power with thermal energy storage (CSP-TES) is a unique source of renewable energy in that the solar thermal energy can be dispatched similarly to conventional thermal generation. However, CSP-TES plants are energy-limited, meaning that their response might be restricted by solar availability. Therefore, the use of this limited solar energy must be optimally scheduled toprovide the greatest value to the system. The timing of CSP-TES dispatch depends on a variety of factors, including electricity demand patterns, the penetration of variable generation sources, and the configuration of the CSP-TES plant itself. We use an established CSP-TES modeling framework in a commercially available production cost model to compare the dispatch and value of two CSP-TEStechnologies (molten salt towers and parabolic troughs) in a Colorado test system. In addition, we consider a range of configuration parameters, such as the solar multiple and thermal energy storage limit, to evaluate how the operational and capacity value varies with plant configuration.

  4. Increasing Heavy Oil Reserves in the Wilmington Oil Field through Advanced Reservoir Characterization and Thermal Production Technologies

    SciTech Connect

    City of Long Beach; David K.Davies and Associates; Tidelands Oil Production Company; University of Southern California

    1999-06-25

    The objective of this project is to increase the recoverable heavy oil reserves within sections of the Wilmington Oil Field, near Long Beach, California. This is realized through the testing and application of advanced reservoir characterization and thermal production technologies. It is hoped that the successful application of these technologies will result in their implementation throughout the Wilmington Field and through technology transfer, will be extended to increase the recoverable oil reserves in other slope and basin clastic (SBC) reservoirs. The existing steamflood in the Tar zone of Fault Block (FB) II-A has been relatively insufficient because of several producability problems which are common in SBC reservoir; inadequate characterization of the heterogeneous turbidite sands, high permeability thief zones, low gravity oil and non-uniform distribution of the remaining oil. This has resulted in poor sweep efficiency, high steam-oil ratios, and early breakthrough. Operational problems related to steam breakthrough, high reservoir pressure, and unconsolidated sands have caused premature well and downhole equipment failures. In aggregate, these reservoir and operational constraints have resulted in increased operating costs and decreased recoverable reserves.

  5. Effects of in-situ and reanalysis climate data on estimation of cropland gross primary production using the Vegetation Photosynthesis Model

    SciTech Connect

    Jin, Cui; Xiao, Xiangming; Wagle, Pradeep; Griffis, Timothy; Dong, Jinwei; Wu, Chaoyang; Qin, Yuanwei; Cook, David R.

    2015-11-01

    Satellite-based Production Efficiency Models (PEMs) often require meteorological reanalysis data such as the North America Regional Reanalysis (NARR) by the National Centers for Environmental Prediction (NCEP) as model inputs to simulate Gross Primary Production (GPP) at regional and global scales. This study first evaluated the accuracies of air temperature (TNARR) and downward shortwave radiation (RNARR) of the NARR by comparing with in-situ meteorological measurements at 37 AmeriFlux non-crop eddy flux sites, then used one PEM – the Vegetation Photosynthesis Model (VPM) to simulate 8-day mean GPP (GPPVPM) at seven AmeriFlux crop sites, and investigated the uncertainties in GPPVPM from climate inputs as compared with eddy covariance-based GPP (GPPEC). Results showed that TNARR agreed well with in-situ measurements; RNARR, however, was positively biased. An empirical linear correction was applied to RNARR, and significantly reduced the relative error of RNARR by ~25% for crop site-years. Overall, GPPVPM calculated from the in-situ (GPPVPM(EC)), original (GPPVPM(NARR)) and adjusted NARR (GPPVPM(adjNARR)) climate data tracked the seasonality of GPPEC well, albeit with different degrees of biases. GPPVPM(EC) showed a good match with GPPEC for maize (Zea mays L.), but was slightly underestimated for soybean (Glycine max L.). Replacing the in-situ climate data with the NARR resulted in a significant overestimation of GPPVPM(NARR) (18.4/29.6% for irrigated/rainfed maize and 12.7/12.5% for irrigated/rainfed soybean). GPPVPM(adjNARR) showed a good agreement with GPPVPM(EC) for both crops due to the reduction in the bias of RNARR. The results imply that the bias of RNARR introduced significant uncertainties into the PEM-based GPP estimates, suggesting that more accurate surface radiation datasets are needed to estimate primary production of terrestrial ecosystems at regional and global scales.

  6. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2002-04-30

    The project involves using advanced reservoir characterization and thermal production technologies to improve thermal recovery techniques and lower operating and capital costs in a slope and basin clastic (SBC) reservoir in the Wilmington field, Los Angeles Co., Calif. Through December 2001, project work has been completed on the following activities: data preparation; basic reservoir engineering; developing a deterministic three dimensional (3-D) geologic model, a 3-D deterministic reservoir simulation model and a rock-log model; well drilling and completions; and surface facilities on the Fault Block II-A Tar Zone (Tar II-A). Work is continuing on research to understand the geochemistry and process regarding the sand consolidation well completion technique, final reservoir tracer work, operational work and research studies to prevent thermal-related formation compaction in the Tar II-A steamflood area, and operational work on the Tar V steamflood pilot and Tar II-A post-steamflood projects. During the First Quarter 2002, the project team developed an accelerated oil recovery and reservoir cooling plan for the Tar II-A post-steamflood project and began implementing the associated well work in March. The Tar V pilot steamflood project will be converted to post-steamflood cold water injection in April 2002. The Tar II-A post-steamflood operation started in February 1999 and steam chest fillup occurred in September-October 1999. The targeted reservoir pressures in the ''T'' and ''D'' sands are maintained at 90 {+-} 5% hydrostatic levels by controlling water injection and gross fluid production and through the bimonthly pressure monitoring program enacted at the start of the post-steamflood phase. Most of the 2001 well work resulted in maintaining oil and gross fluid production and water injection rates. Reservoir pressures in the ''T'' and ''D'' sands are at 88% and 91% hydrostatic levels, respectively. Well work during the first quarter and plans for 2002 are

  7. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2004-03-05

    The overall objective of this project is to increase heavy oil reserves in slope and basin clastic (SBC) reservoirs through the application of advanced reservoir characterization and thermal production technologies. The project involves improving thermal recovery techniques in the Tar Zone of Fault Blocks II-A and V (Tar II-A and Tar V) of the Wilmington Field in Los Angeles County, near Long Beach, California. A primary objective is to transfer technology which can be applied in other heavy oil formations of the Wilmington Field and other SBC reservoirs, including those under waterflood. The thermal recovery operations in the Tar II-A and Tar V have been relatively inefficient because of several producibility problems which are common in SBC reservoirs. Inadequate characterization of the heterogeneous turbidite sands, high permeability thief zones, low gravity oil, and nonuniform distribution of remaining oil have all contributed to poor sweep efficiency, high steam-oil ratios, and early steam breakthrough. Operational problems related to steam breakthrough, high reservoir pressure, and unconsolidated formation sands have caused premature well and downhole equipment failures. In aggregate, these reservoir and operational constraints have resulted in increased operating costs and decreased recoverable reserves. The advanced technologies to be applied include: (1) Develop three-dimensional (3-D) deterministic and stochastic geologic models. (2) Develop 3-D deterministic and stochastic thermal reservoir simulation models to aid in reservoir management and subsequent development work. (3) Develop computerized 3-D visualizations of the geologic and reservoir simulation models to aid in analysis. (4) Perform detailed study on the geochemical interactions between the steam and the formation rock and fluids. (5) Pilot steam injection and production via four new horizontal wells (2 producers and 2 injectors). (6) Hot water alternating steam (WAS) drive pilot in the

  8. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2003-09-04

    The overall objective of this project is to increase heavy oil reserves in slope and basin clastic (SBC) reservoirs through the application of advanced reservoir characterization and thermal production technologies. The project involves improving thermal recovery techniques in the Tar Zone of Fault Blocks II-A and V (Tar II-A and Tar V) of the Wilmington Field in Los Angeles County, near Long Beach, California. A primary objective is to transfer technology which can be applied in other heavy oil formations of the Wilmington Field and other SBC reservoirs, including those under waterflood. The thermal recovery operations in the Tar II-A and Tar V have been relatively inefficient because of several producibility problems which are common in SBC reservoirs. Inadequate characterization of the heterogeneous turbidite sands, high permeability thief zones, low gravity oil, and nonuniform distribution of remaining oil have all contributed to poor sweep efficiency, high steam-oil ratios, and early steam breakthrough. Operational problems related to steam breakthrough, high reservoir pressure, and unconsolidated formation sands have caused premature well and downhole equipment failures. In aggregate, these reservoir and operational constraints have resulted in increased operating costs and decreased recoverable reserves. The advanced technologies to be applied include: (1) Develop three-dimensional (3-D) deterministic and stochastic geologic models. (2) Develop 3-D deterministic and stochastic thermal reservoir simulation models to aid in reservoir management and subsequent development work. (3) Develop computerized 3-D visualizations of the geologic and reservoir simulation models to aid in analysis. (4) Perform detailed study on the geochemical interactions between the steam and the formation rock and fluids. (5) Pilot steam injection and production via four new horizontal wells (2 producers and 2 injectors). (6) Hot water alternating steam (WAS) drive pilot in the

  9. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2003-06-04

    The overall objective of this project is to increase heavy oil reserves in slope and basin clastic (SBC) reservoirs through the application of advanced reservoir characterization and thermal production technologies. The project involves improving thermal recovery techniques in the Tar Zone of Fault Blocks II-A and V (Tar II-A and Tar V) of the Wilmington Field in Los Angeles County, near Long Beach, California. A primary objective is to transfer technology which can be applied in other heavy oil formations of the Wilmington Field and other SBC reservoirs, including those under waterflood. The thermal recovery operations in the Tar II-A and Tar V have been relatively inefficient because of several producibility problems which are common in SBC reservoirs. Inadequate characterization of the heterogeneous turbidite sands, high permeability thief zones, low gravity oil, and nonuniform distribution of remaining oil have all contributed to poor sweep efficiency, high steam-oil ratios, and early steam breakthrough. Operational problems related to steam breakthrough, high reservoir pressure, and unconsolidated formation sands have caused premature well and downhole equipment failures. In aggregate, these reservoir and operational constraints have resulted in increased operating costs and decreased recoverable reserves. The advanced technologies to be applied include: (1) Develop three-dimensional (3-D) deterministic and stochastic geologic models. (2) Develop 3-D deterministic and stochastic thermal reservoir simulation models to aid in reservoir management and subsequent development work. (3) Develop computerized 3-D visualizations of the geologic and reservoir simulation models to aid in analysis. (4) Perform detailed study on the geochemical interactions between the steam and the formation rock and fluids. (5) Pilot steam injection and production via four new horizontal wells (2 producers and 2 injectors). (6) Hot water alternating steam (WAS) drive pilot in the

  10. Production

    Energy.gov [DOE]

    Algae production R&D focuses on exploring resource use and availability, algal biomass development and improvements, characterizing algal biomass components, and the ecology and engineering of cultivation systems.

  11. A REFINED ESTIMATE OF THE IONIZING EMISSIVITY FROM GALAXIES AT z {approx_equal} 3: SPECTROSCOPIC FOLLOW-UP IN THE SSA22a FIELD

    SciTech Connect

    Nestor, Daniel B.; Shapley, Alice E.; Kornei, Katherine A.; Steidel, Charles C.; Siana, Brian

    2013-03-01

    We investigate the contribution of star-forming galaxies to the ionizing background at z {approx} 3, building on previous work based on narrowband (NB3640) imaging in the SSA22a field. We use new Keck/LRIS spectra of Lyman break galaxies (LBGs) and narrowband-selected Ly{alpha} emitters (LAEs) to measure redshifts for 16 LBGs and 87 LAEs at z > 3.055, such that our NB3640 imaging probes the Lyman-continuum (LyC) region. When we include the existing set of spectroscopically confirmed LBGs, our total sample with z > 3.055 consists of 41 LBGs and 91 LAEs, of which 9 LBGs and 20 LAEs are detected in our NB3640 image. With our combined imaging and spectroscopic data sets, we critically investigate the origin of NB3640 emission for detected LBGs and LAEs. We remove from our samples three LBGs and three LAEs with spectroscopic evidence of contamination of their NB3640 flux by foreground galaxies and statistically model the effects of additional, unidentified foreground contaminants. The resulting contamination and LyC-detection rates, respectively, are 62% {+-} 13% and 8% {+-} 3% for our LBG sample, and 47% {+-} 10% and 12% {+-} 2% for our LAE sample. The corresponding ratios of non-ionizing UV to LyC flux density, corrected for intergalactic medium (IGM) attenuation, are 18.0{sup +34.8} {sub -7.4} for LBGs and 3.7{sup +2.5} {sub -1.1} for LAEs. We use these ratios to estimate the total contribution of star-forming galaxies to the ionizing background and the hydrogen photoionization rate in the IGM, finding values larger than, but consistent with, those measured in the Ly{alpha} forest. Finally, the measured UV to LyC flux-density ratios imply model-dependent LyC escape fractions of f {sup LyC} {sub esc} {approx} 5%-7% for our LBG sample and f {sup LyC} {sub esc} {approx} 10%-30% for our fainter LAE sample.

  12. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2002-11-08

    The project involves using advanced reservoir characterization and thermal production technologies to improve thermal recovery techniques and lower operating and capital costs in a slope and basin clastic (SBC) reservoir in the Wilmington field, Los Angeles Co., CA. Through June 2002, project work has been completed on the following activities: data preparation; basic reservoir engineering; developing a deterministic three dimensional (3-D) geologic model, a 3-D deterministic reservoir simulation model and a rock-log model; well drilling and completions; and surface facilities on the Fault Block II-A Tar Zone (Tar II-A). Work is continuing on research to understand the geochemistry and process regarding the sand consolidation well completion technique, final reservoir tracer work, operational work and research studies to prevent thermal-related formation compaction in the Tar II-A steamflood area, and operational work on the Tar V post-steamflood pilot and Tar II-A post-steamflood projects. During the Third Quarter 2002, the project team essentially completed implementing the accelerated oil recovery and reservoir cooling plan for the Tar II-A post-steamflood project developed in March 2002 and is proceeding with additional related work. The project team has completed developing laboratory research procedures to analyze the sand consolidation well completion technique and will initiate work in the fourth quarter. The Tar V pilot steamflood project terminated hot water injection and converted to post-steamflood cold water injection on April 19, 2002. Proposals have been approved to repair two sand consolidated horizontal wells that sanded up, Tar II-A well UP-955 and Tar V well J-205, with gravel-packed inner liner jobs to be performed next quarter. Other well work to be performed next quarter is to convert well L-337 to a Tar V water injector and to recomplete vertical well A-194 as a Tar V interior steamflood pattern producer. Plans have been approved to drill and

  13. Shale Natural Gas Estimated Production

    Gasoline and Diesel Fuel Update

    3,110 5,336 7,994 10,371 11,415 13,447 2007-2014 Alaska 0 0 0 0 0 0 2007-2014 Lower 48 States 3,110 5,336 7,994 10,371 11,415 13,447 2007-2014 Alabama 0 0 2007-2010 Arkansas 527 ...

  14. Shale Natural Gas Estimated Production

    Gasoline and Diesel Fuel Update

    2,116 3,110 5,336 7,994 10,371 11,415 2007-2013 Alaska 0 0 0 0 0 0 2007-2013 Lower 48 States 2,116 3,110 5,336 7,994 10,371 11,415 2007-2013 Alabama 0 0 0 2007-2010 Arkansas 279...

  15. Natural Gas Liquids Estimated Production

    Gasoline and Diesel Fuel Update

    1,285,627 1,322,588 1,396,273 1,483,085 1,512,143 1,586,541 1930-2015 Alabama 1967-1998 Alaska 1967-1998 Arizona 1967-1998 Arkansas 1967-1998 California 1967-1998 Colorado 1967-1998 Delaware 1967-1992 Florida 1967-1998 Idaho 1967-1992 Illinois 1967-1998 Indiana 1967-1998 Kansas 1967-1998 Kentucky 1967-1998 Louisiana 1967-1998 Maryland 1967-1998 Michigan 1967-1998 Mississippi 1967-1998 Missouri 1967-1998 Montana 1967-1998 Nebraska 1967-1998 Nevada 1967-1998 New Mexico 1967-1998 New York 1967-1998

  16. Crude Oil Production

    Gasoline and Diesel Fuel Update

    Notes: Year-to-date totals include revised monthly production estimates by state published in Petroleum Navigator. Crude oil production quantities are estimated by state and summed ...

  17. Crude Oil Production

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Notes: Year-to-date totals include revised monthly production estimates by state published in Petroleum Navigator. Crude oil production quantities are estimated by state and summed ...

  18. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2000-12-06

    to accurately project reservoir steam chest fill-up by October 1999. A geomechanics study and a separate reservoir simulation study have been performed to determine the possible indicators of formation compaction, the temperatures at which specific indicators are affected and the projected temperature profiles in the over and underburden shales over a ten year period following steam injection. It was believed that once steam chest fill-up occurred, the reservoir would act more like a waterflood and production and cold water injection could be operated at lower Injection to production ratios (I/P) and net injection rates. In mid-September 1999, net water injection was reduced substantially in the ''D'' sands following steam chest fill-up. This caused reservoir pressures to plummet about 100 psi within six weeks. Starting in late-October 1999, net ''D'' sand injection was increased and reservoir pressures have slowly increased back to steam chest fill-up pressures as of the end of March 2000. When the ''T'' sands reached fill-up, net ''T'' sand injection was lowered only slightly and reservoir pressures stabilized. A more detailed discussion of the operational changes is in the Reservoir Management section of this report. A reservoir pressure monitoring program was developed as part of the poststeamflood reservoir management plan. This bi-monthly sonic fluid level program measures the static fluid levels in all idle wells an average of once a month. The fluid levels have been calibrated for liquid and gas density gradients by comparing a number of them with Amerada bomb pressures taken within a few days. This data allows engineering to respond quickly to rises or declines in reservoir pressure by either increasing injection or production or idling production. Expanding thermal recovery operations to other sections of the Wilmington Oil Field, including the Tar V horizontal well pilot steamflood project, is a critical part of the City of Long Beach and Tidelands Oil

  19. Using Flue Gas Huff 'n Puff Technology and Surfactants to Increase Oil Production from the Antelope Shale Formation of the Railroad Gap Oil Field

    SciTech Connect

    McWilliams, Michael

    2001-12-18

    This project was designed to test cyclic injection of exhaust flue gas from compressors located in the field to stimulate production from Antelope Shale zone producers. Approximately 17,000 m{sup 3} ({+-}600 MCF) of flue gas was to be injected into each of three wells over a three-week period, followed by close monitoring of production for response. Flue gas injection on one of the wells would be supplemented with a surfactant.

  20. Increased oil production and reserves from improved completion techniques in the Bluebell Field, Uinta Basin, Utah. Annual report, October 1, 1994--September 30, 1995

    SciTech Connect

    Allison, M.L.; Morgan, C.D.

    1996-05-01

    The Bluebell field produces from the Tertiary lower Green River and Wasatch Formations of the Uinta Basin, Utah. The productive interval consists of thousands of feet of interbedded fractured clastic and carbonate beds deposited in a fluvial-dominated deltaic lacustrine environment. Wells in the Bluebell field are typically completed by perforating 40 or more beds over 1,000 to 3,000 vertical feet (300-900 m), then applying an acid-fracture stimulation treatment to the entire interval. This completion technique is believed to leave many potentially productive beds damaged and/or untreated, while allowing water-bearing and low-pressure (thief) zones to communicate with the wellbore. Geologic and engineering characterization has been used to define improved completion techniques. The study identified reservoir characteristics of beds that have the greatest long-term production potential.

  1. Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c-means clustering and support vector machine segmentation

    SciTech Connect

    Keller, Brad M.; Nathan, Diane L.; Wang Yan; Zheng Yuanjie; Gee, James C.; Conant, Emily F.; Kontos, Despina

    2012-08-15

    Purpose: The amount of fibroglandular tissue content in the breast as estimated mammographically, commonly referred to as breast percent density (PD%), is one of the most significant risk factors for developing breast cancer. Approaches to quantify breast density commonly focus on either semiautomated methods or visual assessment, both of which are highly subjective. Furthermore, most studies published to date investigating computer-aided assessment of breast PD% have been performed using digitized screen-film mammograms, while digital mammography is increasingly replacing screen-film mammography in breast cancer screening protocols. Digital mammography imaging generates two types of images for analysis, raw (i.e., 'FOR PROCESSING') and vendor postprocessed (i.e., 'FOR PRESENTATION'), of which postprocessed images are commonly used in clinical practice. Development of an algorithm which effectively estimates breast PD% in both raw and postprocessed digital mammography images would be beneficial in terms of direct clinical application and retrospective analysis. Methods: This work proposes a new algorithm for fully automated quantification of breast PD% based on adaptive multiclass fuzzy c-means (FCM) clustering and support vector machine (SVM) classification, optimized for the imaging characteristics of both raw and processed digital mammography images as well as for individual patient and image characteristics. Our algorithm first delineates the breast region within the mammogram via an automated thresholding scheme to identify background air followed by a straight line Hough transform to extract the pectoral muscle region. The algorithm then applies adaptive FCM clustering based on an optimal number of clusters derived from image properties of the specific mammogram to subdivide the breast into regions of similar gray-level intensity. Finally, a SVM classifier is trained to identify which clusters within the breast tissue are likely fibroglandular, which are then

  2. Contribution to the development of DOE ARM Climate Modeling Best Estimate Data (CMBE) products: Satellite data over the ARM permanent and AMF sites: Final Report

    SciTech Connect

    Xie, B; Dong, X; Xie, S

    2012-05-18

    To support the LLNL ARM infrastructure team Climate Modeling Best Estimate (CMBE) data development, the University of North Dakota (UND)'s group will provide the LLNL team the NASA CERES and ISCCP satellite retrieved cloud and radiative properties for the periods when they are available over the ARM permanent research sites. The current available datasets, to date, are as follows: the CERES/TERRA during 200003-200812; the CERES/AQUA during 200207-200712; and the ISCCP during 199601-200806. The detailed parameters list below: (1) CERES Shortwave radiative fluxes (net and downwelling); (2) CERES Longwave radiative fluxes (upwelling) - (items 1 & 2 include both all-sky and clear-sky fluxes); (3) CERES Layered clouds (total, high, middle, and low); (4) CERES Cloud thickness; (5) CERES Effective cloud height; (6) CERES cloud microphysical/optical properties; (7) ISCCP optical depth cloud top pressure matrix; (8) ISCCP derived cloud types (r.g., cirrus, stratus, etc.); and (9) ISCCP infrared derived cloud top pressures. (10) The UND group shall apply necessary quality checks to the original CERES and ISCCP data to remove suspicious data points. The temporal resolution for CERES data should be all available satellite overpasses over the ARM sites; for ISCCP data, it should be 3-hourly. The spatial resolution is the closest satellite field of view observations to the ARM surface sites. All the provided satellite data should be in a format that is consistent with the current ARM CMBE dataset so that the satellite data can be easily merged into the CMBE dataset.

  3. Quantification of Contralateral Breast Dose and Risk Estimate of Radiation-Induced Contralateral Breast Cancer Among Young Women Using Tangential Fields and Different Modes of Breathing

    SciTech Connect

    Zurl, Brigitte; Stranzl, Heidi; Winkler, Peter; Kapp, Karin Sigrid

    2013-02-01

    Purpose: Whole breast irradiation with deep-inspiration breath-hold (DIBH) technique among left-sided breast cancer patients significantly reduces cardiac irradiation; however, a potential disadvantage is increased incidental irradiation of the contralateral breast. Methods and Materials: Contralateral breast dose (CBD) was calculated by comparing 400 treatment plans of 200 left-sided breast cancer patients whose tangential fields had been planned on gated and nongated CT data sets. Various anatomic and field parameters were analyzed for their impact on CBD. For a subgroup of patients (aged {<=}45 years) second cancer risk in the contralateral breast (CB) was modeled by applying the linear quadratic model, compound models, and compound models considering dose-volume information (DVH). Results: The mean CBD was significantly higher in DIBH with 0.69 Gy compared with 0.65 Gy in normal breathing (P=.01). The greatest impact on CBD was due to a shift of the inner field margin toward the CB in DIBH (mean 0.4 cm; range, 0-2), followed by field size in magnitude. Calculation with different risk models for CBC revealed values of excess relative risk/Gy ranging from 0.48-0.65 vs 0.46-0.61 for DIBH vs normal breathing, respectively. Conclusion: Contralateral breast dose, although within a low dose range, was mildly but significantly increased in 200 treatment plans generated under gated conditions, predominately due to a shift in the medial field margin. Risk modeling for CBC among women aged {<=}45 years also pointed to a higher risk when comparing DIBH with normal breathing. This risk, however, was substantially lower in the model considering DVH information. We think that clinical decisions should not be affected by this small increase in CBD with DIBH because DIBH is effective in reducing the dose to the heart in all patients.

  4. Increased oil production and reserves from improved completion techniques in the Bluebell field, Uinta Basin, Utah. Annual report, October 1, 1995--September 30, 1996

    SciTech Connect

    Morgan, C.D.; Allison, M.L.

    1997-08-01

    The Bluebell field is productive from the Tertiary lower Green River and Wasatch Formations of the Uinta Basin, Utah. The productive interval consists of thousands of feet of interbedded fractured clastic and carbonate beds deposited in a fluvial-dominated lacustrine environment. Wells in the Bluebell field are typically completed by perforating 40 or more beds over 1,000 to 3,000 vertical feet (300-900 m), then stimulating the entire interval. This completion technique is believed to leave many potentially productive beds damaged and/or untreated, while allowing water-bearing and low-pressure (thief) zones to communicate with the wellbore. Geologic and engineering characterization has been used to define improved completion techniques. A two-year characterization study involved detailed examination of outcrop, core, well logs, surface and subsurface fractures, produced oil-field waters, engineering parameters of the two demonstration wells, and analysis of past completion techniques and effectiveness. The characterization study resulted in recommendations for improved completion techniques and a field-demonstration program to test those techniques. The results of the characterization study and the proposed demonstration program are discussed in the second annual technical progress report. The operator of the wells was unable to begin the field demonstration this project year (October 1, 1995 to September 20, 1996). Correlation and thickness mapping of individual beds in the Wasatch Formation was completed and resulted in a. series of maps of each of the individual beds. These data were used in constructing the reservoir models. Non-fractured and fractured geostatistical models and reservoir simulations were generated for a 20-square-mile (51.8-km{sup 2}) portion of the Bluebell field. The modeling provides insights into the effects of fracture porosity and permeability in the Green River and Wasatch reservoirs.

  5. Application of high-resolution time-of-flight chemical ionization mass spectrometry measurements to estimate volatility distributions of α-pinene and naphthalene oxidation products

    DOE PAGES [OSTI]

    Chhabra, P. S.; Lambe, A. T.; Canagaratna, M. R.; Stark, H.; Jayne, J. T.; Onasch, T. B.; Davidovits, P.; Kimmel, J. R.; Worsnop, D. R.

    2015-01-05

    Recent developments in high-resolution time-of-flight chemical ionization mass spectrometry (HR-ToF-CIMS) have made it possible to directly detect atmospheric organic compounds in real time with high sensitivity and with little or no fragmentation, including low-volatility, highly oxygenated organic vapors that are precursors to secondary organic aerosol formation. Here, using ions identified by high-resolution spectra from an HR-ToF-CIMS with acetate reagent ion chemistry, we develop an algorithm to estimate the vapor pressures of measured organic acids. The algorithm uses identified ion formulas and calculated double bond equivalencies, information unavailable in quadrupole CIMS technology, as constraints for the number of possible oxygen-containing functionalmore » groups. The algorithm is tested with acetate chemical ionization mass spectrometry (acetate-CIMS) spectra of O3 and OH oxidation products of α-pinene and naphthalene formed in a flow reactor with integrated OH exposures ranged from 1.2 × 1011 to 9.7 × 1011 molec s cm−3, corresponding to approximately 1.0 to 7.5 days of equivalent atmospheric oxidation. Measured gas-phase organic acids are similar to those previously observed in environmental chamber studies. For both precursors, we find that acetate-CIMS spectra capture both functionalization (oxygen addition) and fragmentation (carbon loss) as a function of OH exposure. The level of fragmentation is observed to increase with increased oxidation. The predicted condensed-phase secondary organic aerosol (SOA) average acid yields and O/C and H/C ratios agree within uncertainties with previous chamber and flow reactor measurements and ambient CIMS results. While acetate reagent ion chemistry is used to selectively measure organic acids, in principle this method can be applied to additional reagent ion chemistries depending on the application.« less

  6. USING CABLE SUSPENDED SUBMERSIBLE PUMPS TO REDUCE PRODUCTION COSTS TO INCREASE ULTIMATE RECOVERY IN THE RED MOUNTAIN FIELD IN SAM JUAN BASIN REGION

    SciTech Connect

    Don L. Hanosh

    2004-08-01

    A joint venture between Enerdyne LLC, a small independent oil and gas producer, and Pumping Solutions Inc., developer of a low volume electric submersible pump, suspended from a cable, both based in Albuquerque, New Mexico, has re-established marginal oil production from the Red Mountain Oil Field, located in the San Juan Basin, New Mexico by working over 17 existing wells and installing submersible pumps.

  7. A High-Speed, Real-Time Visualization and State Estimation Platform for Monitoring and Control of Electric Distribution Systems: Implementation and Field Results

    SciTech Connect

    Lundstrom, Blake; Gotseff, Peter; Giraldez, Julieta; Coddington, Michael

    2015-10-05

    Continued deployment of renewable and distributed energy resources is fundamentally changing the way that electric distribution systems are controlled and operated; more sophisticated active system control and greater situational awareness are needed. Real-time measurements and distribution system state estimation (DSSE) techniques enable more sophisticated system control and, when combined with visualization applications, greater situational awareness. This paper presents a novel demonstration of a high-speed, real-time DSSE platform and related control and visualization functionalities, implemented using existing open-source software and distribution system monitoring hardware. Live scrolling strip charts of meter data and intuitive annotated map visualizations of the entire state (obtained via DSSE) of a real-world distribution circuit are shown. The DSSE implementation is validated to demonstrate provision of accurate voltage data. This platform allows for enhanced control and situational awareness using only a minimum quantity of distribution system measurement units and modest data and software infrastructure.

  8. Horizontal Wells to Enhance Production in the Bottle Rock Field - Final Report - 09/30/2000 - 02/01/2001

    SciTech Connect

    Cohen, J. H.

    2001-02-26

    This report describes the work that was done to prepare the Phase II proposal for an enhanced geothermal system based on the use of horizontal well to increase production of reservoir fluids from geothermal wells.

  9. ARM Climate Modeling Best Estimate from Nauru with additional satellite product (ARMBE-CLDRAD TWPC2 V2.1a)

    DOE Data Explorer

    McCoy, Renata; Xie, Shaocheng

    2011-02-07

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  10. ARM Climate Modeling Best Estimate from Darwin, AU with additional satellite product (ARMBE-CLDRAD TWPC3 V2.1a)

    DOE Data Explorer

    McCoy, Renata; Xie, Shaocheng

    2011-02-07

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  11. ARM Climate Modeling Best Estimate from Manus Island, PNG with additional satellite product (ARMBE-CLDRAD TWPC1 V2.1a)

    DOE Data Explorer

    McCoy, Renata; Xie, Shaocheng

    2011-02-07

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  12. ARM Climate Modeling Best Estimate Barrow, AK with additional satellite product (ARMBE-CLDRAD NSAC1 V2.1a)

    DOE Data Explorer

    McCoy, Renata; Xie, Shaocheng

    2011-02-07

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  13. ARM Climate Modeling Best Estimate from Darwin, AU with additional satellite product (ARMBE-CLDRAD TWPC3 V2.1a)

    DOE Data Explorer

    McCoy, Renata; Xie, Shaocheng

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  14. ARM Climate Modeling Best Estimate from Manus Island, PNG with additional satellite product (ARMBE-CLDRAD TWPC1 V2.1a)

    DOE Data Explorer

    McCoy, Renata; Xie, Shaocheng

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  15. ARM Climate Modeling Best Estimate from Nauru with additional satellite product (ARMBE-CLDRAD TWPC2 V2.1a)

    DOE Data Explorer

    McCoy, Renata; Xie, Shaocheng

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  16. ARM Climate Modeling Best Estimate Barrow, AK with additional satellite product (ARMBE-CLDRAD NSAC1 V2.1a)

    DOE Data Explorer

    McCoy, Renata; Xie, Shaocheng

    The ARM CMBE-ATM [Xie, McCoy, Klein et al.] data file contains a best estimate of several selected atmospheric quantities from ACRF observations and NWP analysis data.

  17. ARM - TCAP Field Campaign

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Value-Added Products PI Data Products Field Campaign Data Related Data Data Plots Data Policy Data Documentation Data Gathering and Delivery Data Quality Data Tools Data Archive...

  18. Multinuclear NMR study of the crystal field strength of the nitro ligand and the empirical estimation of the sup 59 Co NMR chemical shifts of cobalt-nitro complexes

    SciTech Connect

    Au-Yeung, S.C.F.; Kwong, K.W. ); Buist, R.J. )

    1990-10-10

    The variable ligand field strength of the nitro ligand has been reexamined on the basis of a steric model. An improved empirical method is proposed for the estimation of nitro ligand field strength in terms of a single correction parameter {Delta}{sub s} (1.824 {times} 10{sup {minus}6} ppm{sup {minus}1}) to the shift parameter S{sub NO{sub 2}} (3.075 {times} 10{sup {minus}5} ppm{sup {minus}1}) for the estimation of the {sup 59}Co NMR chemical shifts of cobalt-nitro complexes. The reversed chemical shift trend of geometrical isomers of cobalt-nitro complexes are attributed to variations in the 10Dq of the nitro ligands. The model is applied to the assignment of different isomers of cobalt-nitro compounds obtained from ligand exchange reactions of the cobaltinitrite anion with the N{sub 3}{sup {minus}} and SCN{sup {minus}} ions. In all the ligand exchange reactions studied, it was found that mixed nitro complexes formed in the reaction predominately adopted the trans configuration.

  19. Advanced stimulation technology deployment program, Chevron USA Production Company, Wolfcamp A2 Sand, Pakenham Field, Val Verde Basin. Topical report, July 1995-March 1996

    SciTech Connect

    Wright, C.A.; Weijers, L.; Minner, W.A.

    1996-07-01

    This report describes the results from Chevron`s Pakenham Field effort at fracture stimulation engineering which incorporated, to the greatest extent possible, the results of actual measured field data. Measurement of the sand-shale closure stress contrast around the Wolfcamp A2 sand and the relatively high net fracturing pressures (compared to the closure stress contrast) that were observed during real-data (net pressure) fracture treatment analysis revealed that fractures obtained in most of the treatments were much shorter and less confined than originally expected: the fracture half-length was about 200 to 300 ft (instead of about 600 ft), which is consistent with estimates from post-fracture pressure build-up tests. Based on these measurements, Chevron`s fracturing practices in the Pakenham Field could be carefully reviewed to enhance fracture economics. Supported by the real-data fracture treatment analysis, several changes in completion, fracture treatment design and data-collection procedures were made, such as: (1) using cheaper 20/40 Ottawa sand instead of pre-cured 20/40 resin coated sand; (2) reducing the pad fluid size, as fluid leakoff from the fracture into the formation was relatively low; and, (3) utilizing stepdown tests and proppant slugs to minimize near-wellbore screen-out potential (in the Wolfcamp D sand).

  20. Rapid production of large-area deep sub-wavelength hybrid structures by femtosecond laser light-field tailoring

    SciTech Connect

    Wang, Lei; Chen, Qi-Dai E-mail: hbsun@jlu.edu.cn; Yang, Rui; Xu, Bin-Bin; Wang, Hai-Yu; Yang, Hai; Huo, Cheng-Song; Tu, Hai-Ling; Sun, Hong-Bo E-mail: hbsun@jlu.edu.cn

    2014-01-20

    The goal of creation of large-area deep sub-wavelength nanostructures by femtosecond laser irradiation onto various materials is being hindered by the limited coherence length. Here, we report solution of the problem by light field tailoring of the incident beam with a phase mask, which serves generation of wavelets. Direct interference between the wavelets, here the first-order diffracted beams, and interference between a wavelet and its induced waves such as surface plasmon polariton are responsible for creation of microgratings and superimposed nanogratings, respectively. The principle of wavelets interference enables extension of uniformly induced hybrid structures containing deep sub-wavelength nanofeatures to macro-dimension.

  1. Measurements of actinide-fission product yields in Caliban and Prospero metallic core reactor fission neutron fields

    SciTech Connect

    Casoli, P.; Authier, N. [CEA, Centre de Valduc, 21120 Is-sur-Tille (France); Laurec, J.; Bauge, E.; Granier, T. [CEA, Centre DIF, 91297 Arpajon (France)

    2011-07-01

    In the 1970's and early 1980's, an experimental program was performed on the facilities of the CEA Valduc Research Center to measure several actinide-fission product yields. Experiments were, in particular, completed on the Caliban and Prospero metallic core reactors to study fission-neutron-induced reactions on {sup 233}U, {sup 235}U, and {sup 239}Pu. Thick actinide samples were irradiated and the number of nuclei of each fission product was determined by gamma spectrometry. Fission chambers were irradiated simultaneously to measure the numbers of fissions in thin deposits of the same actinides. The masses of the thick samples and the thin deposits were determined by mass spectrometry and alpha spectrometry. The results of these experiments will be fully presented in this paper for the first time. A description of the Caliban and Prospero reactors, their characteristics and performances, and explanations about the experimental approach will also be given in the article. A recent work has been completed to analyze and reinterpret these measurements and particularly to evaluate the associated uncertainties. In this context, calculations have also been carried out with the Monte Carlo transport code Tripoli-4, using the published benchmarked Caliban description and a three-dimensional model of Prospero, to determine the average neutron energy causing fission. Simulation results will be discussed in this paper. Finally, new fission yield measurements will be proposed on Caliban and Prospero reactors to strengthen the results of the first experiments. (authors)

  2. Estimating the upper limit of gas production from Class 2 hydrate accumulations in the permafrost: 2. Alternative well designs and sensitivity analysis

    SciTech Connect

    Moridis, G.; Reagan, M.T.

    2011-01-15

    In the second paper of this series, we evaluate two additional well designs for production from permafrost-associated (PA) hydrate deposits. Both designs are within the capabilities of conventional technology. We determine that large volumes of gas can be produced at high rates (several MMSCFD) for long times using either well design. The production approach involves initial fluid withdrawal from the water zone underneath the hydrate-bearing layer (HBL). The production process follows a cyclical pattern, with each cycle composed of two stages: a long stage (months to years) of increasing gas production and decreasing water production, and a short stage (days to weeks) that involves destruction of the secondary hydrate (mainly through warm water injection) that evolves during the first stage, and is followed by a reduction in the fluid withdrawal rate. A well configuration with completion throughout the HBL leads to high production rates, but also the creation of a secondary hydrate barrier around the well that needs to be destroyed regularly by water injection. However, a configuration that initially involves heating of the outer surface of the wellbore and later continuous injection of warm water at low rates (Case C) appears to deliver optimum performance over the period it takes for the exhaustion of the hydrate deposit. Using Case C as the standard, we determine that gas production from PA hydrate deposits increases with the fluid withdrawal rate, the initial hydrate saturation and temperature, and with the formation permeability.

  3. Radiotherapy for stage I seminoma of the testis: Organ equivalent dose to partially in-field structures and second cancer risk estimates on the basis of a mechanistic, bell-shaped, and plateau model

    SciTech Connect

    Mazonakis, Michalis Damilakis, John; Varveris, Charalambos; Lyraraki, Efrossyni

    2015-11-15

    Purpose: The aim of the current study was to (a) calculate the organ equivalent dose (OED) and (b) estimate the associated second cancer risk to partially in-field critical structures from adjuvant radiotherapy for stage I seminoma of the testis on the basis of three different nonlinear risk models. Methods: Three-dimensional plans were created for twelve patients who underwent a treatment planning computed tomography of the abdomen. The plans for irradiation of seminoma consisted of para-aortic anteroposterior and posteroanterior fields giving 20 Gy to the target site with 6 MV photons. The OED of stomach, colon, liver, pancreas, and kidneys, that were partially included in the treatment volume, was calculated using differential dose–volume histograms. The mechanistic, bell-shaped, and plateau models were employed for these calculations provided that organ-specific parameters were available for the subsequent assessment of the excess absolute risk (EAR) for second cancer development. The estimated organ-specific lifetime risks were compared with the respective nominal intrinsic probabilities for cancer induction. Results: The mean OED, which was calculated from the patients’ treatment plans, varied from 0.54 to 6.61 Gy by the partially in-field organ of interest and the model used for dosimetric calculations. The difference between the OED of liver derived from the mechanistic model with those from the bell-shaped and plateau models was less than 1.8%. An even smaller deviation of 1.0% was observed for colon. For the rest organs of interest, the differences between the OED values obtained by the examined models varied from 8.6% to 50.0%. The EAR for stomach, colon, liver, pancreas, and kidney cancer induction at an age of 70 yr because of treatment of a typical 39-yr-old individual was up to 4.24, 11.39, 0.91, 3.04, and 0.14 per 10 000 persons-yr, respectively. Patient’s irradiation was found to elevate the lifetime intrinsic risks by 8.3%–63.0% depending

  4. Field project to obtain pressure core, wireline log, and production test data for evaluation of CO/sub 2/ flooding potential, Conoco MCA unit well No. 358, Maljamar Field, Lea County, New Mexico

    SciTech Connect

    Swift, T.E.; Marlow, R.E.; Wilhelm, M.H.; Goodrich, J.H.; Kumar, R.M.

    1981-11-01

    This report describes part of the work done to fulfill a contract awarded to Gruy Federal, Inc., by the Department of Energy (DOE) on Feburary 12, 1979. The work includes pressure-coring and associated logging and testing programs to provide data on in-situ oil saturation, porosity and permeability distribution, and other data needed for resource characterization of fields and reservoirs in which CO/sub 2/ injection might have a high probability of success. This report details the second such project. Core porosities agreed well with computed log porosities. Core water saturation and computed log porosities agree fairly well from 3692 to 3712 feet, poorly from 3712 to 3820 feet and in a general way from 4035 to 4107 feet. Computer log analysis techniques incorporating the a, m, and n values obtained from Core Laboratories analysis did not improve the agreement of log versus core derived water saturations. However, both core and log analysis indicated the ninth zone had the highest residual hydrocarbon saturations and production data confirmed the validity of oil saturation determinations. Residual oil saturation, for the perforated and tested intervals were 259 STB/acre-ft for the interval from 4035 to 4055 feet, and 150 STB/acre-ft for the interval from 3692 to 3718 feet. Nine BOPD was produced from the interval 4035 to 4055 feet and no oil was produced from interval 3692 to 3718 feet, qualitatively confirming the relative oil saturations as calculated. The low oil production in the zone from 4022 to 4055 and the lack of production from 3692 to 3718 feet indicated the zone to be at or near residual waterflood conditions as determined by log analysis. This project demonstrates the usefulness of integrating pressure core, log, and production data to realistically evaluate a reservoir for carbon dioxide flood.

  5. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2000-12-06

    chests from reoccurring. A new 3-D deterministic thermal reservoir simulation model was used to provide operations with the necessary water injection rates and allowable production rates by well to minimize future surface subsidence and to accurately project reservoir steam chest fill-up by October 1999. A geomechanics study and a separate reservoir simulation study have been performed to determine the possible indicators of formation compaction, the temperatures at which specific indicators are affected and the projected temperature profiles in the over and underburden shales over a ten year period following steam injection. Further geomechanics work should be conducted. It was believed that once steam chest fill-up occurred, the reservoir would act more like a waterflood and production and cold water injection could be operated at lower Injection to production ratios (I/P) and net injection rates. In mid-September 1999, net water injection was reduced substantially in the ''D'' sands following steam chest fill-up. This caused reservoir pressures to plummet about 100 psi within six weeks. Starting in late-October 1999, net ''D'' sand injection was increased and reservoir pressures have slowly increased back to steam chest fill-up pressures as of the end of March 2000. When the ''T'' sands reached fill-up, net ''T'' sand injection remained at a high rate and reservoir pressures stabilized. A more detailed discussion of the operational changes is in the Reservoir Management section of this report. A reservoir pressure monitoring program was developed as part of the poststeamflood reservoir management plan. This bi-monthly sonic fluid level program measures the static fluid levels in all idle wells an average of once a month. The fluid levels have been calibrated for liquid and gas density gradients by comparing a number of them with Amerada bomb pressures taken within a few days. This data allows engineering to respond quickly to rises or declines in reservoir pressure by

  6. Field project to obtain pressure core, wireline log, and production test data for evaluation of CO/sub 2/ flooding potential. Texas Pacific Bennett Ranch Unit well No. 310, Wasson (San Andres) Field, Yoakum County, Texas

    SciTech Connect

    Swift, T.E.; Goodrich, J.H.; Kumar, R.M.; McCoy, R.L.; Wilhelm, M.H.; Glascock, M.R.

    1982-01-01

    The coring, logging and testing of Bennett Ranch Unit well No. 310 was a cooperative effort between Texas Pacific, owner of the well, and Gruy Federal, Inc. The requirements of the contract, which are summarized in Enclosure 1, Appendix A, include drilling and coring activities. The pressure-coring and associated logging and testing programs in selected wells are intended to provide data on in-situ oil saturation, porosity and permeability distribution, and other data needed for resource characterization of fields and reservoirs in which CO/sub 2/ injection might have a high probability of success. This report presents detailed information on the first such project. This project demonstrates the usefulness of integrating pressure core, log and production data to realistically evaluate a reservoir for carbon dioxide flood. The engineering of tests and analysis of such experimental data requires original thinking, but the reliability of the results is higher than data derived from conventional tests.

  7. INCREASING HEAVY OIL RESERVES IN THE WILMINGTON OIL FIELD THROUGH ADVANCED RESERVOIR CHARACTERIZATION AND THERMAL PRODUCTION TECHNOLOGIES

    SciTech Connect

    Scott Hara

    2000-12-14

    prevent the steam chests from reoccurring. A new 3-D deterministic thermal reservoir simulation model was used to provide operations with the necessary water injection rates and allowable production rates by well to minimize future surface subsidence and to accurately project reservoir steam chest fill-up by October 1999. A geomechanics study and a separate reservoir simulation study have been performed to determine the possible indicators of formation compaction, the temperatures at which specific indicators are affected and the projected temperature profiles in the over and underburden shales over a ten year period following steam injection. Further geomechanics work should be conducted. It was believed that once steam chest fill-up occurred, the reservoir would act more like a waterflood and production and cold water injection could be operated at lower Injection to production ratios (I/P) and net injection rates. In mid-September 1999, net water injection was reduced substantially in the ''D'' sands following steam chest fill-up. This caused reservoir pressures to plummet about 100 psi within six weeks. Starting in late-October 1999, net ''D'' sand injection was increased and reservoir pressures increased back to steam chest fill-up pressures of 90% hydrostatic pressure by March 2000 and have been maintained through September 2000. When the ''T'' sands reached fill-up in October 1999, net ''T'' sand injection remained at a high rate through April 2000 and reservoir pressures stabilized at 98% hydrostatic pressure. The objective is to lower ''T'' sand pressure slowly to 90% hydrostatic. Net injection was reduced and ''T'' sand reservoir pressure was at 97% hydrostatic in September 2000. A more detailed discussion of the operational changes is in the Reservoir Management section of this report. A reservoir pressure monitoring program was developed as part of the poststeamflood reservoir management plan. This bi-monthly sonic fluid level program measures the static fluid

  8. Estimating Motor Efficiency in the Field

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    acceptable methods and devices, motor effciency values can be obtained at full and part load. ... The necessary instruments are costly, and the process is very time and labor ...

  9. Field project to obtain pressure core, wireline log, and production test data for evaluation of CO/sub 2/ flooding potential. Conoco MCA unit well No. 358, Maljamar Field, Lea County, New Mexico. Final report

    SciTech Connect

    Swift, T.E.; Kumar, R.M.; Marlow, R.E.; Wilhelm, M.H.

    1982-08-01

    Field operations, which were conducted as a cooperative effort between Conoco and Gruy Federal, began on January 16, 1980 when the well was spudded. The well was drilled to 3692 feet, and 18 cores recovered in 18 core-barrel runs (144 feet). Upon completion of the coring phase, the hole was drilled to a total depth of 4150 feet and a complete suite of geophysical logs was run. Logging was then followed by completion and testing by Concoco. Core porosities agreed well with computed log porosities. Core water saturation and computed log porosities agree fairly well from 3692 to 3712 feet, poorly from 3712 to 3820 feet and in a general way from 4035 to 4107 feet. Computer log analysis techniques did not improve the agreement of log versus core derived water saturations. However, both core and log analysis indicated the ninth zone had the highest residual hydrocarbon saturations. Residual oil saturation were 259 STB/acre-ft for the 4035 - 4055 feet interval, and 150 STB/acre-ft for the 3692 - 3718 feet interval. Nine BOPD was produced from the 4035 - 4055 feet interval and no oil was produced from 3692 to 3718 feet interval, qualitatively confirming the relative oil saturations. The low oil production in the zone from 4022 to 4055 and the lack of production from 3692 to 3718 feet indicated the zone to be at or near residual waterflood conditions as determined by log analysis. 68 figures, 11 tables.

  10. Class III Mid-Term Project, "Increasing Heavy Oil Reserves in the Wilmington Oil Field Through Advanced Reservoir Characterization and Thermal Production Technologies"

    SciTech Connect

    Scott Hara

    2007-03-31

    The overall objective of this project was to increase heavy oil reserves in slope and basin clastic (SBC) reservoirs through the application of advanced reservoir characterization and thermal production technologies. The project involved improving thermal recovery techniques in the Tar Zone of Fault Blocks II-A and V (Tar II-A and Tar V) of the Wilmington Field in Los Angeles County, near Long Beach, California. A primary objective has been to transfer technology that can be applied in other heavy oil formations of the Wilmington Field and other SBC reservoirs, including those under waterflood. The first budget period addressed several producibility problems in the Tar II-A and Tar V thermal recovery operations that are common in SBC reservoirs. A few of the advanced technologies developed include a three-dimensional (3-D) deterministic geologic model, a 3-D deterministic thermal reservoir simulation model to aid in reservoir management and subsequent post-steamflood development work, and a detailed study on the geochemical interactions between the steam and the formation rocks and fluids. State of the art operational work included drilling and performing a pilot steam injection and production project via four new horizontal wells (2 producers and 2 injectors), implementing a hot water alternating steam (WAS) drive pilot in the existing steamflood area to improve thermal efficiency, installing a 2400-foot insulated, subsurface harbor channel crossing to supply steam to an island location, testing a novel alkaline steam completion technique to control well sanding problems, and starting on an advanced reservoir management system through computer-aided access to production and geologic data to integrate reservoir characterization, engineering, monitoring, and evaluation. The second budget period phase (BP2) continued to implement state-of-the-art operational work to optimize thermal recovery processes, improve well drilling and completion practices, and evaluate the

  11. A Study of Production/Injection Data from Slim Holes and Large-Diameter Wells at the Okuaizu Geothermal Field, Tohoku, Japan

    SciTech Connect

    Renner, Joel Lawrence; Garg, Sabodh K.; Combs, Jim

    2002-06-01

    Discharge from the Okuaizu boreholes is accompanied by in situ boiling. Analysis of cold-water injection and discharge data from the Okuaizu boreholes indicates that the two-phase productivity index is about an order of magnitude smaller than the injectivity index. The latter conclusion is in agreement with analyses of similar data from Oguni, Sumikawa, and Kirishima geothermal fields. A wellbore simulator was used to examine the effect of borehole diameter on the discharge capacity of geothermal boreholes with two-phase feedzones. Based on these analyses, it appears that it should be possible to deduce the discharge characteristics of largediameter wells using test data from slim holes with two-phase feeds.

  12. Magnetic nanoparticle temperature estimation

    SciTech Connect

    Weaver, John B.; Rauwerdink, Adam M.; Hansen, Eric W.

    2009-05-15

    The authors present a method of measuring the temperature of magnetic nanoparticles that can be adapted to provide in vivo temperature maps. Many of the minimally invasive therapies that promise to reduce health care costs and improve patient outcomes heat tissue to very specific temperatures to be effective. Measurements are required because physiological cooling, primarily blood flow, makes the temperature difficult to predict a priori. The ratio of the fifth and third harmonics of the magnetization generated by magnetic nanoparticles in a sinusoidal field is used to generate a calibration curve and to subsequently estimate the temperature. The calibration curve is obtained by varying the amplitude of the sinusoidal field. The temperature can then be estimated from any subsequent measurement of the ratio. The accuracy was 0.3 deg. K between 20 and 50 deg. C using the current apparatus and half-second measurements. The method is independent of nanoparticle concentration and nanoparticle size distribution.

  13. Supercooled liquid water Estimation Tool

    Energy Science and Technology Software Center

    2012-05-04

    The Cloud Supercooled liquid water Estimation Tool (SEET) is a user driven Graphical User Interface (GUI) that estimates cloud supercooled liquid water (SLW) content in terms of vertical column and total mass from Moderate resolution Imaging Supercooled liquid water Estimation Tool Spectroradiometer (MODIS) spatially derived cloud products and realistic vertical cloud parameterizations that are user defined. It also contains functions for post-processing of the resulting data in tabular and graphical form.

  14. Bias estimates used in lieu of validation of fission products and minor actinides in MCNP Keff calculations for PWR burnup credit casks

    SciTech Connect

    Mueller, Don E.; Marshall, William J.; Wagner, John C.; Bowen, Douglas G.

    2015-09-01

    The U.S. Nuclear Regulatory Commission (NRC) Division of Spent Fuel Storage and Transportation recently issued Interim Staff Guidance (ISG) 8, Revision 3. This ISG provides guidance for burnup credit (BUC) analyses supporting transport and storage of PWR pressurized water reactor (PWR) fuel in casks. Revision 3 includes guidance for addressing validation of criticality (keff) calculations crediting the presence of a limited set of fission products and minor actinides (FP&MA). Based on previous work documented in NUREG/CR-7109, recommendation 4 of ISG-8, Rev. 3, includes a recommendation to use 1.5 or 3% of the FP&MA worth to conservatively cover the bias due to the specified FP&MAs. This bias is supplementary to the bias and bias uncertainty resulting from validation of keff calculations for the major actinides in SNF and does not address extension to actinides and fission products beyond those identified herein. The work described in this report involves comparison of FP&MA worths calculated using SCALE and MCNP with ENDF/B-V, -VI, and -VII based nuclear data and supports use of the 1.5% FP&MA worth bias when either SCALE or MCNP codes are used for criticality calculations, provided the other conditions of the recommendation 4 are met. The method used in this report may also be applied to demonstrate the applicability of the 1.5% FP&MA worth bias to other codes using ENDF/B V, VI or VII based nuclear data. The method involves use of the applicant s computational method to generate FP&MA worths for a reference SNF cask model using specified spent fuel compositions. The applicant s FP&MA worths are then compared to reference values provided in this report. The applicants FP&MA worths should not exceed the reference results by more than 1.5% of the reference FP&MA worths.

  15. ARM KAZR-ARSCL Value Added Product

    DOE Data Explorer

    Jensen, Michael

    The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments.

  16. ARM KAZR-ARSCL Value Added Product

    DOE Data Explorer

    Jensen, Michael

    2012-09-28

    The Ka-band ARM Zenith Radars (KAZRs) have replaced the long-serving Millimeter Cloud Radars, or MMCRs. Accordingly, the primary MMCR Value Added Product (VAP), the Active Remote Sensing of CLouds (ARSCL) product, is being replaced by a KAZR-based version, the KAZR-ARSCL VAP. KAZR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments.

  17. Contribution to the development of DOE ARM Climate Best Estimate...

    Office of Scientific and Technical Information (OSTI)

    Contribution to the development of DOE ARM Climate Best Estimate Data (ARMBE) products: ... Title: Contribution to the development of DOE ARM Climate Best Estimate Data (ARMBE) ...

  18. Methane Hydrate Field Studies

    Office of Energy Efficiency and Renewable Energy (EERE)

    Since 2001, DOE has conducted field trials of exploration and production technology in the Alaska North Slope. Although Alaska methane hydrate resources are smaller than marine deposits and...

  19. ,"U.S. Weekly Supply Estimates"

    Energy Information Administration (EIA) (indexed site)

    Supply Estimates" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Crude Oil Production",1,"...

  20. USING 3D COMPUTER MODELING, BOREHOLE GEOPHYSICS, AND HIGH CAPACITY PUMPS TO RESTORE PRODUCTION TO MARGINAL WELLS IN THE EAST TEXAS FIELD

    SciTech Connect

    R.L. Bassett

    2003-06-09

    Methods for extending the productive life of marginal wells in the East Texas Field were investigated using advanced computer imaging technology, geophysical tools, and selective perforation of existing wells. Funding was provided by the Department of Energy, TENECO Energy and Schlumberger Wireline and Testing. Drillers' logs for more than 100 wells in proximity to the project lease were acquired, converted to digital format using a numerical scheme, and the data were used to create a 3 Dimensional geological image of the project site. Using the descriptive drillers' logs in numerical format yielded useful cross sections identifying the Woodbine Austin Chalk contact and continuity of sand zones between wells. The geological data provided information about reservoir continuity, but not the amount of remaining oil, this was obtained using selective modern logs. Schlumberger logged the wells through 2 3/8 inch tubing with a new slimhole Reservoir Saturation Tool (RST) which can measure the oil and water content of the existing porosity, using neutron scattering and a gamma ray spectrometer (GST). The tool provided direct measurements of elemental content yielding interpretations of porosity, lithology, and oil and water content, confirming that significant oil saturation still exists, up to 50% in the upper Woodbine sand. Well testing was then begun and at the end of the project new oil was being produced from zones abandoned or bypassed more than 25 years ago.

  1. Abandoned Texas oil fields

    SciTech Connect

    Not Available

    1980-12-01

    Data for Texas abandoned oil fields were primarily derived from two sources: (1) Texas Railroad Commission (TRRC), and (2) Dwight's ENERGYDATA. For purposes of this report, abandoned oil fields are defined as those fields that had no production during 1977. The TRRC OILMASTER computer tapes were used to identify these abandoned oil fields. The tapes also provided data on formation depth, gravity of oil production, location (both district and county), discovery date, and the cumulative production of the field since its discovery. In all, the computer tapes identified 9211 abandoned fields, most of which had less than 250,000 barrel cumulative production. This report focuses on the 676 abandoned onshore Texas oil fields that had cumulative production of over 250,000 barrels. The Dwight's ENERGYDATA computer tapes provided production histories for approximately two-thirds of the larger fields abandoned in 1966 and thereafter. Fields which ceased production prior to 1966 will show no production history nor abandonment date in this report. The Department of Energy hopes the general availability of these data will catalyze the private sector recovery of this unproduced resource.

  2. Estimation of ovular fiber production in cotton

    DOEpatents

    Van't Hof, Jack (Brookhaven, NY)

    1998-09-01

    The present invention is a method for rendering cotton fiber cells that are post-anthesis and pre-harvest available for analysis of their physical properties. The method includes the steps of hydrolyzing cotton fiber cells and separating cotton fiber cells from cotton ovules thereby rendering the cells available for analysis. The analysis of the fiber cells is through any suitable means, e.g., visual inspection. Visual inspection of the cells can be accomplished by placing the cells under an instrument for detection, such as microscope or other means.

  3. Estimation of ovular fiber production in cotton

    DOEpatents

    Van`t Hof, J.

    1998-09-01

    The present invention is a method for rendering cotton fiber cells that are post-anthesis and pre-harvest available for analysis of their physical properties. The method includes the steps of hydrolyzing cotton fiber cells and separating cotton fiber cells from cotton ovules thereby rendering the cells available for analysis. The analysis of the fiber cells is through any suitable means, e.g., visual inspection. Visual inspection of the cells can be accomplished by placing the cells under an instrument for detection, such as microscope or other means. 4 figs.

  4. Dry Natural Gas Estimated Production (Summary)

    Energy Information Administration (EIA) (indexed site)

    1,594 22,239 23,555 24,912 25,233 26,611 1977-2014 Federal Offshore Gulf of Mexico 1992-2007 Alabama 254 223 218 214 175 176 1977-2014 Alaska 358 317 327 299 285 304 1977-2014 Arkansas 698 951 1,079 1,151 1,140 1,142 1977-2014 California 239 243 311 200 188 176 1977-2014 Colorado 1,524 1,590 1,694 1,681 1,527 1,561 1977-2014 Florida 0 15 0 0 0 0 1977-2014 Kansas 334 305 285 281 283 272 1977-2014 Kentucky 108 96 101 83 81 70 1977-2014 Louisiana 1,544 2,189 2,985 3,057 2,344 1,960 1981-2014

  5. Dry Natural Gas Reserves Estimated Production

    Energy Information Administration (EIA) (indexed site)

    1,594 22,239 23,555 24,912 25,233 26,611 1977-2014 Federal Offshore U.S. 2,377 2,154 1,660 1,360 1,198 1,148 1990-2014 Pacific (California) 37 28 31 22 21 20 1977-2014 Gulf of Mexico (Louisiana & Alabama) 1,886 1,717 1,311 1,061 941 882 1981-2014 Gulf of Mexico (Texas) 454 409 318 277 236 246 1981-2014 Alaska 358 317 327 299 285 304 1977-2014 Lower 48 States 21,236 21,922 23,228 24,613 24,948 26,307 1977-2014 Alabama 254 223 218 214 175 176 1977-2014 Arkansas 698 951 1,079 1,151 1,140 1,142

  6. Published New Reservoir Proved Revision Revision New Field Discoveries

    Energy Information Administration (EIA) (indexed site)

    Shale natural gas proved reserves, reserves changes, and production, wet after lease separation, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old Fields Production Reserves State and Subdivision 12/31/13 (+,-) (+) (-) (-) (+) (+) (+) (+) (-) 12/31/14 Alaska 0 0 0 0 0 0 0 0 0 0 0 Lower 48 States 159,115 12,113 27,643 26,199 5,029 7,657 35,401

  7. Estimating Appliance and Home Electronic Energy Use | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Electricity & Fuel » Appliances & Electronics » Estimating Appliance and Home Electronic Energy Use Estimating Appliance and Home Electronic Energy Use Our appliance and electronic energy use calculator allows you to estimate your annual energy use and cost to operate specific products. The wattage values provided are samples only; actual wattage of products varies depending on product age and features. Enter a wattage value for your own product for the most accurate estimate. Wattage

  8. Agricultural Irrigation Demand Response Estimation Tool

    Energy Science and Technology Software Center

    2014-02-01

    This program is used to model the energy demand of agricultural irrigation pumps, used to maintain soil moisture levels in irrigated fields. This modeling is accomplished using historical data from evapotranspirationmeasuring weather stations (from the California Irrigation Management Information System) as well as irrigation system characteristics for the field(s) to be modeled. The modelled energy demand is used to estimate the achievable demand response (DR) potential of the field(s), for use in assessing the valuemore » of the DR for the utility company. The program can accept input data with varying degrees of rigor, and estimate the uncertainty of the output accordingly.« less

  9. Oklahoma Coalbed Methane Production (Billion Cubic Feet)

    Annual Energy Outlook

    Production (Billion Cubic Feet) Oklahoma Coalbed Methane Production (Billion Cubic Feet) ... Referring Pages: Coalbed Methane Estimated Production Oklahoma Coalbed Methane Proved ...

  10. Oklahoma Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Oklahoma Shale Production (Billion Cubic Feet) Decade ... Referring Pages: Shale Natural Gas Estimated Production Oklahoma Shale Gas Proved ...

  11. New Mexico Shale Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Shale Production (Billion Cubic Feet) New Mexico Shale Production (Billion Cubic Feet) ... Referring Pages: Shale Natural Gas Estimated Production New Mexico Shale Gas Proved ...

  12. Increased oil production and reserves from improved completion techniques in the Bluebell Field, Uinta Basin, Utah. Quarterly technical progress report, April 1, 1996--June 30, 1996, 11th Quarter of the project

    SciTech Connect

    Allison, E.; Morgan, C.D.

    1996-07-30

    The objective of this project is to increase oil production and reserves in the Uinta Basin by demonstrating improved completion techniques. Low productivity of Uinta Basin wells is caused by gross production intervals of several thousand feet that contain perforated thief zones, water-bearing zones, and unperforated oil-bearing intervals. Geologic and engineering characterization and computer simulation of the Green River and Wasatch formations in the Bluebell field will determine reservoir heterogeneities related to fractures and depositional trends. This will be followed by drilling and recompletion of several wells to demonstrate improved completion techniques based on the reservoir characterization. Transfer of the project results will be an ongoing component of the project.

  13. Power, Optimization, Waste Estimating, Resourcing Tool

    Energy Science and Technology Software Center

    2009-08-13

    Planning, Optimization, Waste Estimating, Resourcing tool (POWERtool) is a comprehensive relational database software tool that can be used to develop and organize a detailed project scope, plan work tasks, develop bottoms-up field cost and waste estimates for facility Deactivation and Decommissioning (D&D), equipment, and environmental restoration (ER) projects and produces resource-loaded schedules.

  14. Field-to-Fuel Performance Testing of Various Biomass Feedstocks: Production and Catalytic Upgrading of Bio-Oil to Refinery Blendstocks (Presentation)

    SciTech Connect

    Carpenter, D.; Westover, T.; Howe, D.; Evans, R.; French, R.; Kutnyakov, I.

    2014-09-01

    Large-scale, cost-competitive deployment of thermochemical technologies to replace petroleum oil with domestic biofuels will require inclusion of high volumes of low-cost, diverse biomass types into the supply chain. However, a comprehensive understanding of the impacts of feedstock thermo-physical and chemical variability, particularly inorganic matter (ash), on the yield and product distribution

  15. Experiences in the design of CRA`s for erosion/corrosion control in the production facilities of eastern Venezuela oil fields

    SciTech Connect

    Romero, N.; Palacios, C.A.

    1997-08-01

    It is a well known fact that CRA`s are used in the oil industry as one way to control erosion/corrosion effects. Many fields in the eastern region of Venezuela are considered corrosive due to the presence of CO{sub 2} (5 to 20%), H{sub 2}S (up to 5 ppm), and water (50% water cut) contained in the produced hydrocarbons (condensated). For some areas, the hydrocarbon is accompanied by sand, making them erosive as well. These conditions and frequent failures experienced in the field, led to the use of CRA`s. For the wells, 13% Cr and bimetallic (carbon steel/13% Cr) tubing was used for 51 condensate wells containing 5 to 20% CO{sub 2}. For the surface equipment (valves, reducers, expanders and other types of fittings) tungsten carbide hard facing were used, for some of the valves, a epoxi-phenolic coating was used. This article describes the different design criteria used for the installation of the tubing, the logistics involved during field inspections and handling tips to avoid galling during workovers. It also, presents results from the bi-metallic tubing and the hard facings used for the surface equipment.

  16. Cost Estimation Package

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1997-03-28

    This chapter focuses on the components (or elements) of the cost estimation package and their documentation.

  17. Check Estimates and Independent Costs

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1997-03-28

    Check estimates and independent cost estimates (ICEs) are tools that can be used to validate a cost estimate. Estimate validation entails an objective review of the estimate to ensure that estimate criteria and requirements have been met and well documented, defensible estimate has been developed. This chapter describes check estimates and their procedures and various types of independent cost estimates.

  18. Kansas City Field Office Mark Holecek Assoc. Admin. & Dep.

    National Nuclear Security Administration (NNSA)

    Nevada Field Office Steven Lawrence NNSA Production Office Geoffrey Beausoleil Sandia Field Office Jeffrey P. Harrell Savannah River Field Office Douglas Dearolph Chief of Staff ...

  19. Sacha oil field of Ecuadorian Oriente

    SciTech Connect

    Canfield, R.W.; Bonilla, G.; Robbins, R.K.

    1982-08-01

    The Sacha oil field in the Ecuadorian Oriente was discovered in early 1969. Production began in July 1972, and at the end of 1980 had exceeded 190 million bbl. Drilling through 1980 had resulted in 91 oil wells and 2 dry holes. Estimated original primary recoverable reserves surpass 632 million bbl. The field is on a very low-relief anticline about 17.5 mi (28 km) long and averaging 4 mi (6.5 km) wide. Vertical closure amounts to 200 ft (60 m) and there are 41,000 acres (16,600 ha.) of areal closure on top of the principal reservoir. The Cretaceous sandstones, at drilled depths between 9,300 and 10,100 ft (2,835 and 3,080 m) provide excellent reservoirs. The Hollin Formation, the basal Cretaceous sandstone, is the principal reservoir, having produced 80% of the oil through 1980 and containing about 68% of the original reserves.

  20. Types of Cost Estimates

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1997-03-28

    The chapter describes the estimates required on government-managed projects for both general construction and environmental management.

  1. Develpment of a low Cost Method to Estimate the Seismic Signiture...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    a Geothemal Field from Ambient Seismic Noise Analysis Develpment of a low Cost Method to Estimate the Seismic Signiture of a Geothemal Field from Ambient Seismic Noise Analysis ...

  2. Nebraska Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Nebraska Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) No Data Available For This Series - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016 Referring Pages: Nonassociated Natural Gas Estimated

  3. Characterization and estimation of permeability correlation structure from performance data

    SciTech Connect

    Ershaghi, I.; Al-Qahtani, M.

    1997-08-01

    In this study, the influence of permeability structure and correlation length on the system effective permeability and recovery factors of 2-D cross-sectional reservoir models, under waterflood, is investigated. Reservoirs with identical statistical representation of permeability attributes are shown to exhibit different system effective permeability and production characteristics which can be expressed by a mean and variance. The mean and variance are shown to be significantly influenced by the correlation length. Detailed quantification of the influence of horizontal and vertical correlation lengths for different permeability distributions is presented. The effect of capillary pressure, P{sub c1} on the production characteristics and saturation profiles at different correlation lengths is also investigated. It is observed that neglecting P{sub c} causes considerable error at large horizontal and short vertical correlation lengths. The effect of using constant as opposed to variable relative permeability attributes is also investigated at different correlation lengths. Next we studied the influence of correlation anisotropy in 2-D reservoir models. For a reservoir under five-spot waterflood pattern, it is shown that the ratios of breakthrough times and recovery factors of the wells in each direction of correlation are greatly influenced by the degree of anisotropy. In fully developed fields, performance data can aid in the recognition of reservoir anisotropy. Finally, a procedure for estimating the spatial correlation length from performance data is presented. Both the production performance data and the system`s effective permeability are required in estimating the correlation length.

  4. Summary of Electrolytic Hydrogen Production: Milestone Completion...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    Current (2009) State-of-the-Art Hydrogen Production Cost Estimate Using Water Electrolysis Hydrogen Production by Polymer Electrolyte Membrane (PEM) Electrolysis-Spotlight on Giner ...

  5. Estimating Appliance and Home Electronic Energy Use | Department...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    and electronic energy use calculator allows you to estimate your annual energy use and cost to operate specific products. The wattage values provided are samples only; actual...

  6. A Protocol for Estimating and Mapping Global EGS Potential |...

    OpenEI (Open Energy Information) [EERE & EIA]

    with public Reporting Codes * Present results using common visualization and data architecture The goal of the Protocol is the production of regional estimates and maps of EGS...

  7. Direct Hydrogen PEMFC Manufacturing Cost Estimation for Automotive...

    Energy.gov [DOE] (indexed site)

    and Fuel Cells Program Record 14014: Fuel Cell System Cost - 2014 Mass Production Cost Estimation of Direct H2 PEM Fuel Cell Systems for Transportation Applications: 2013 Update

  8. A simple method to estimate interwell autocorrelation

    SciTech Connect

    Pizarro, J.O.S.; Lake, L.W.

    1997-08-01

    The estimation of autocorrelation in the lateral or interwell direction is important when performing reservoir characterization studies using stochastic modeling. This paper presents a new method to estimate the interwell autocorrelation based on parameters, such as the vertical range and the variance, that can be estimated with commonly available data. We used synthetic fields that were generated from stochastic simulations to provide data to construct the estimation charts. These charts relate the ratio of areal to vertical variance and the autocorrelation range (expressed variously) in two directions. Three different semivariogram models were considered: spherical, exponential and truncated fractal. The overall procedure is demonstrated using field data. We find that the approach gives the most self-consistent results when it is applied to previously identified facies. Moreover, the autocorrelation trends follow the depositional pattern of the reservoir, which gives confidence in the validity of the approach.

  9. Texas (with State Offshore) Shale Production (Billion Cubic Feet...

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Texas (with State Offshore) Shale Production (Billion ... Referring Pages: Shale Natural Gas Estimated Production Texas Shale Gas Proved Reserves, ...

  10. Texas (with State Offshore) Coalbed Methane Production (Billion...

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Texas (with State Offshore) Coalbed Methane Production ... Referring Pages: Coalbed Methane Estimated Production Texas Coalbed Methane Proved ...

  11. New Mexico Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) New Mexico Coalbed Methane Production (Billion Cubic Feet) ... Referring Pages: Coalbed Methane Estimated Production New Mexico Coalbed Methane Proved ...

  12. Table 10. Total natural gas proved reserves, reserves changes, and production, w

    Energy Information Administration (EIA) (indexed site)

    Total natural gas proved reserves, reserves changes, and production, wet after lease separation, 2014" "billion cubic feet" ,,"Changes in reserves during 2014" ,"Published",,,,,,,,"New Reservoir" ,"Proved",,"Revision","Revision",,,,"New Field","Discoveries","Estimated","Proved"

  13. Table 14. Shale natural gas proved reserves, reserves changes, and production, w

    Energy Information Administration (EIA) (indexed site)

    Shale natural gas proved reserves, reserves changes, and production, wet after lease separation, 2014" "billion cubic feet" ,,"Changes in Reserves During 2014" ,"Published",,,,,,,,"New Reservoir" ,"Proved",,"Revision","Revision",,,,"New Field","Discoveries","Estimated","Proved"

  14. Reservoir Temperature Estimator

    Energy Science and Technology Software Center

    2014-12-08

    The Reservoir Temperature Estimator (RTEst) is a program that can be used to estimate deep geothermal reservoir temperature and chemical parameters such as CO2 fugacity based on the water chemistry of shallower, cooler reservoir fluids. This code uses the plugin features provided in The Geochemist’s Workbench (Bethke and Yeakel, 2011) and interfaces with the model-independent parameter estimation code Pest (Doherty, 2005) to provide for optimization of the estimated parameters based on the minimization of themore » weighted sum of squares of a set of saturation indexes from a user-provided mineral assemblage.« less

  15. Frawan field project management

    SciTech Connect

    Nordquist, R.A.

    1982-01-01

    This work analyzes the planning and strategies used to achieve start-up of gas production facilities in Erawan field, Gulf of Thailand. The Erawan field surface facilities consist of 5 well platforms, each with the capacity for 12 wells; 4 remote process platforms bridge-connected to the well platforms with the necessary equipment to separate the gas well stream and dehydrate the gas; one central process platform; one storage barge; one 122-man living quarters with satellite communications equipment and recreation facilities; one flare structure; and a field pipeline gathering system.

  16. Estimating Specialty Costs

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1997-03-28

    Specialty costs are those nonstandard, unusual costs that are not typically estimated. Costs for research and development (R&D) projects involving new technologies, costs associated with future regulations, and specialty equipment costs are examples of specialty costs. This chapter discusses those factors that are significant contributors to project specialty costs and methods of estimating costs for specialty projects.

  17. Determining Best Estimates and Uncertainties in Cloud Microphysical

    Office of Scientific and Technical Information (OSTI)

    Parameters from ARM Field Data: Implications for Models, Retrieval Schemes and Aerosol-Cloud-Radiation Interactions (Technical Report) | SciTech Connect Determining Best Estimates and Uncertainties in Cloud Microphysical Parameters from ARM Field Data: Implications for Models, Retrieval Schemes and Aerosol-Cloud-Radiation Interactions Citation Details In-Document Search Title: Determining Best Estimates and Uncertainties in Cloud Microphysical Parameters from ARM Field Data: Implications for

  18. Potential for Photovoltaic Solar Installation in Non-Irrigated Corners of Center Pivot Irrigation Fields in the State of Colorado

    SciTech Connect

    Roberts, B.

    2011-07-01

    The State of Colorado expressed an interest in assessing the potential for photovoltaic (PV) solar installations on non-irrigated corners of center-pivot irrigation (CPI) fields throughout the state. Using aerial imagery and irrigated land data available from the Colorado Water Conservation Board, an assessment of potentially suitable sites was produced. Productivity estimates were calculated from that assessment. The total area of non-irrigated corners of CPI fields in Colorado was estimated to be 314,674 acres, which could yield 223,418 acres of installed PV panels assuming 71% coverage in triangular plots. The total potential annual electricity production for the state was estimated to be 56,821 gigawatt hours (GWH), with an average of 1.3 GWH per available plot.

  19. Cost Estimating Guide

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates. No cancellations.

  20. Cost Estimating Guide

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    2011-05-09

    This Guide provides uniform guidance and best practices that describe the methods and procedures that could be used in all programs and projects at DOE for preparing cost estimates.

  1. Cost Estimating Guide

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1997-03-28

    The objective of this Guide is to improve the quality of cost estimates and further strengthen the DOE program/project management system. The original 25 separate chapters and three appendices have been combined to create a single document.

  2. Derived Annual Estimates

    Energy Information Administration (EIA) (indexed site)

    74-1988 For Methodology Concerning the Derived Estimates Total Consumption of Offsite-Produced Energy for Heat and Power by Industry Group, 1974-1988 Total Energy *** Electricity...

  3. Independent Cost Estimate (ICE)

    Energy.gov [DOE]

    Independent Cost Estimate (ICE). On August 8-12, the Office of Project Management Oversight and Assessments (PM) will conduct an ICE on the NNSA Albuquerque Complex Project (NACP) at Albuquerque, NM. This estimate will support the Critical Decision (CD) for establishing the performance baseline and approval to start construction (CD-2/3). This project is at CD-1, with a total project cost range of $183M to $251M.

  4. Michigan Lease Condensate Proved Reserves, Reserve Changes, and Production

    Energy Information Administration (EIA) (indexed site)

    19 15 15 15 3 2 1979-2014 Adjustments -1 0 0 1 -11 0 2009-2014 Revision Increases 17 1 2 1 0 0 2009-2014 Revision Decreases 0 4 1 1 1 1 2009-2014 Sales 0 0 0 0 0 0 2009-2014 Acquisitions 0 0 0 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 1 1 1 1 0 0

  5. Montana Lease Condensate Proved Reserves, Reserve Changes, and Production

    Energy Information Administration (EIA) (indexed site)

    0 0 0 2 0 1 1979-2014 Adjustments 0 0 0 2 -1 1 2009-2014 Revision Increases 0 0 0 0 0 0 2009-2014 Revision Decreases 0 0 0 0 1 0 2009-2014 Sales 0 0 0 0 0 0 2009-2014 Acquisitions 0 0 0 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 0 0 0 0 0

  6. NM, East Lease Condensate Proved Reserves, Reserve Changes, and Production

    Energy Information Administration (EIA) (indexed site)

    60 78 68 75 76 54 1979-2014 Adjustments 4 7 -9 -2 2 6 2009-2014 Revision Increases 7 13 9 19 19 15 2009-2014 Revision Decreases 8 9 19 22 32 41 2009-2014 Sales 1 1 2 4 5 0 2009-2014 Acquisitions 3 11 1 1 0 0 2009-2014 Extensions 4 3 17 22 26 4 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 1 0 0 2009-2014 Estimated Production 6 6 7 8 9

  7. NM, West Lease Condensate Proved Reserves, Reserve Changes, and Production

    Energy Information Administration (EIA) (indexed site)

    20 21 26 29 30 28 1979-2014 Adjustments -2 1 0 1 2 -1 2009-2014 Revision Increases 5 3 10 7 9 7 2009-2014 Revision Decreases 3 2 4 3 8 6 2009-2014 Sales 1 0 2 0 1 0 2009-2014 Acquisitions 1 0 2 0 1 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 1 1 1 2 2 2

  8. Alabama Lease Condensate Proved Reserves, Reserve Changes, and Production

    Energy Information Administration (EIA) (indexed site)

    6 18 19 18 14 13 1979-2014 Adjustments 1 0 3 1 -2 1 2009-2014 Revision Increases 3 4 1 1 1 0 2009-2014 Revision Decreases 0 0 1 1 1 1 2009-2014 Sales 0 0 0 0 0 0 2009-2014 Acquisitions 0 0 0 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 2 2 2 2 2 1

  9. Alaska Lease Condensate Proved Reserves, Reserve Changes, and Production

    Energy Information Administration (EIA) (indexed site)

    0 0 36 16 0 2 1979-2014 Adjustments 0 0 1 0 0 0 2009-2014 Revision Increases 0 0 55 0 0 1 2009-2014 Revision Decreases 0 0 0 0 0 0 2009-2014 Sales 0 0 0 0 0 0 2009-2014 Acquisitions 0 0 0 0 0 1 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 0 0 20 20 16 0

  10. Kentucky Lease Condensate Proved Reserves, Reserve Changes, and Production

    Energy Information Administration (EIA) (indexed site)

    4 1 5 4 5 5 1979-2014 Adjustments -1 0 1 -1 0 -1 2009-2014 Revision Increases 3 0 4 1 1 1 2009-2014 Revision Decreases 2 3 1 1 0 0 2009-2014 Sales 0 0 3 0 0 0 2009-2014 Acquisitions 0 0 3 0 0 0 2009-2014 Extensions 0 0 0 0 0 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 0 0 0 0 0 0

  11. Offshore UK; Shell starts Galleon field pre-drilling

    SciTech Connect

    Not Available

    1993-01-01

    Shell U.K. Exploration and Production (Shell), acting as operator for a consortium of companies, has described plans for the two-phase development of Galleon gas field, located 50 miles from the Shell/Esso gas processing plant at Bacton, Norfolk, in 82 ft of water. The field has estimated reserves of 1.4 Tcf. Phase 1 development will cost [Brit pounds]300 million ($500 million); and first production is expected in late 1994. British Gas has agreed to purchase at least Phase 1 gas. Shell will be the operator for the development. A preliminary costsharing arrangement has been agreed to by the co-venturers to bridge the period until equities are determined. The consortium comprises Shell and Esso, with 40% each, and Conoco (U.K.) Ltd. and Oryx U.K. Energy Co., each with 10%. The field is located in Shell/Esso Blocks 48/14, 19a and 20a, and Conoco/Oryx Block 48/15a. Galleon will be the sixth gas field to be developed in the Southern North Sea by Shell, the operator for Shell and Esso. It will be the third field in the Sole Pit area, where total reserves found by Shell/Esso are about 3.0 Tcf.

  12. Parametric Hazard Function Estimation.

    Energy Science and Technology Software Center

    1999-09-13

    Version 00 Phaze performs statistical inference calculations on a hazard function (also called a failure rate or intensity function) based on reported failure times of components that are repaired and restored to service. Three parametric models are allowed: the exponential, linear, and Weibull hazard models. The inference includes estimation (maximum likelihood estimators and confidence regions) of the parameters and of the hazard function itself, testing of hypotheses such as increasing failure rate, and checking ofmore » the model assumptions.« less

  13. Simulating Potential Switchgrass Production in the United States

    SciTech Connect

    Thomson, Allison M.; Izaurralde, Roberto C.; West, T. O.; Parrish, David J.; Tyler, Donald D.; Williams, Jimmy R.

    2009-12-31

    Using results from field trials of switchgrass (Panicum virgatum L.) in the United States, the EPIC (Environmental Policy Integrated Climate) process-level agroecosystem model was calibrated, validated, and applied to simulate potential productivity of switchgrass for use as a biofuel feedstock. The model was calibrated with a regional study of 10-yr switchgrass field trials and subsequently tested against a separate compiled dataset of field trials from across the eastern half of the country. An application of the model in a national database using 8-digit watersheds as the primary modeling unit produces 30-yr average switchgrass yield estimates that can be aggregated to 18 major watersheds. The model projects average annual switchgrass productivity of greater than 7 Mg ha-1 in the Upper Mississippi, Lower Mississippi, and Ohio watersheds. The major factors limiting simulated production vary by region; low precipitation is the primary limiting factor across the western half of the country, while moderately acidic soils limit yields on lands east of the Mississippi River. Average projected switchgrass production on all crop land in the continental US is 5.6 Mg ha-1. At this level of productivity, 28.6 million hectares of crop land would be required to produce the 16 billion gallons of cellulosic ethanol called for by 2022 in the 2007 Energy Independence and Security Act. The model described here can be applied as a tool to inform the land-use and environmental consequences of switchgrass production.

  14. Geological input to reservoir simulation, Champion Field, offshore Brunei

    SciTech Connect

    Carter, R.; Salahudin, S.; Ho, T.C.

    1994-07-01

    Brunei Shell Petroleum's giant Champion field is in a mature stage of development with about 23 yr of production history to date. The field comprises a complex sequence of Miocene shallow marine and deltaic layered clastic reservoirs cut by numerous growth faults. This study was aimed at providing a quantified estimate of the effect of lateral and vertical discontinuities within the I and J reservoirs on the recovery for both depletion drive and in a waterflood, with a view to identifying the optimal method of completing the development of the oil reserves in this area. Geological input to the ECLIPSE simulator was aimed at quantifying two key parameters: (1) STOIIP connected to the well bore and (2) permeability contrast. Connected STOIIP is a function of the domain size of interconnected sand bodies, and this parameter was quantified by the use of detailed sedimentology resulting in sand-body facies maps for each reservoir sublayer. Permeability contrast was quantified by using a wireline-log based algorithm, calibrated against core data, which improved the existing accuracy of permeability estimates in this part of the field. Results of simulation runs illustrate the importance of quantifying geologic heterogeneity and provide valuable information for future field development planning.

  15. Sinocome Solar aka Perfect Field Investment | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    Solar aka Perfect Field Investment Jump to: navigation, search Name: Sinocome Solar (aka Perfect Field Investment) Place: China Product: Chinese manufacturer of amorphous silicon...

  16. Calyxo USA Solar Fields LLC | Open Energy Information

    OpenEI (Open Energy Information) [EERE & EIA]

    USA Solar Fields LLC Jump to: navigation, search Name: Calyxo USA (Solar Fields LLC) Place: Perrysburg, Ohio Zip: 43551 Sector: Solar Product: Producer of cadmium telluride...

  17. EERE Publication and Product Library

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Feature featured product thumbnail Energy Savers: Tips on Saving Money & Energy at Home Details ... Technology Solutions for New and Existing Homes Case Study: Field Trial of an ...

  18. South Belridge fields, Borderland basin, U. S. , San Joaquin Valley

    SciTech Connect

    Miller, D.D. ); McPherson, J.G. )

    1991-03-01

    South Belridge is a giant field in the west San Joaquin Valley, Kern County. Cumulative field production is approximately 700 MMBO and 220 BCFG, with remaining recoverable reserves of approximately 500 MMBO. The daily production is nearly 180 MBO from over 6100 active wells. The focus of current field development and production is the shallow Tulare reservoir. Additional probable diatomite reserves have been conservatively estimated at 550 MMBO and 550 BCFG. South Belridge field has two principal reservoir horizons; the Mio-Pliocene Belridge diatomite of the upper Monterey Formation, and the overlying Plio-Pleistocene Tulare Formation. The field lies on the crest of a large southeast-plunging anticline, sub-parallel to the nearby San Andreas fault system. The reservoir trap in both the Tulare and diatomite reservoir horizons is a combination of structure, stratigraphic factors, and tar seals; the presumed source for the oil is the deeper Monterey Formation. The diatomite reservoir produces light oil (20-32{degree} API gravity) form deep-marine diatomite and diatomaceous shales with extremely high porosity (average 60%) and low permeability (average 1 md). In contrast, the shallow ({lt}1000 ft (305 m) deep) overlying Tulare reservoir produces heavy oil (13-14{degree} API gravity) from unconsolidated, arkosic, fluviodeltaic sands of high porosity (average 35%) and permeability (average 3000 md). The depositional model is that of a generally prograding fluviodeltaic system sourced in the nearby basin-margin highlands. More than 6000 closely spaced, shallow wells are the key to steamflood production from hundreds of layered and laterally discontinuous reservoir sands which create laterally and vertically discontinuous reservoir flow units.

  19. US ITER toroidal field coil conductor...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ITER toroidal field coil conductor production requires miles of niobium-tin superconducting wire. Photo: Oxford Superconducting Technology Continued on page 6 INSIDE: ITER Site ...

  20. Estimating vehicle height using homographic projections

    DOEpatents

    Cunningham, Mark F; Fabris, Lorenzo; Gee, Timothy F; Ghebretati, Jr., Frezghi H; Goddard, James S; Karnowski, Thomas P; Ziock, Klaus-peter

    2013-07-16

    Multiple homography transformations corresponding to different heights are generated in the field of view. A group of salient points within a common estimated height range is identified in a time series of video images of a moving object. Inter-salient point distances are measured for the group of salient points under the multiple homography transformations corresponding to the different heights. Variations in the inter-salient point distances under the multiple homography transformations are compared. The height of the group of salient points is estimated to be the height corresponding to the homography transformation that minimizes the variations.

  1. Microsoft PowerPoint - SEDS Production cover.pptx

    Energy Information Administration (EIA) (indexed site)

    Energy Production Estimates 1960 Through 2010 2010 Summary Tables 2010 Summary Tables Table P1. Energy Production Estimates in Physical Units, 2010 Alabama 20,396 222,932 7,102 0...

  2. Turtle Bayou - 1936 to 1983: case history of a major gas field in south Louisiana

    SciTech Connect

    Cronquist, C.

    1983-01-01

    Turtle Bayou field, located in the middle Miocene trend in S. Louisiana, is nearing the end of a productive life which spans over 30 yr. Discovered by Shell Oil Co. in 1949 after unsuccessful attempts by 2 other majors, the field is a typical, low relief, moderately faulted Gulf Coast structure, probably associated with deep salt movement. The productive interval includes 22 separate gas-bearing sands in a regressive sequence of sands and shales from approx. 6500 to 12,000 ft. Now estimated to have contained ca 1.2 trillion scf of gas in place, cumulative production through 1982 was 702 billion scf. Cumulative condensate-gas ratio has been 20 bbl/million. Recovery mechanisms in individual reservoirs include strong bottom water drive, partial edgewater drive, and pressure depletion. Recovery efficiencies in major reservoirs range from 40 to 75% of original gas in place.

  3. Use of Cost Estimating Relationships

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1997-03-28

    Cost Estimating Relationships (CERs) are an important tool in an estimator's kit, and in many cases, they are the only tool. Thus, it is important to understand their limitations and characteristics. This chapter discusses considerations of which the estimator must be aware so the Cost Estimating Relationships can be properly used.

  4. Estimating Appliance and Home Electronic Energy Use | Department...

    Energy.gov [DOE] (indexed site)

    Estimate the energy consumption and cost to operate an appliance when making a purchase. Investing in an energy-efficient product may save you money in the long run. | Photo...

  5. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update

    Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases Decreases Sales Acquisitions Extensions Discoveries in Old ...

  6. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update

    wet after lease separation, 2014 billion cubic feet Published New Reservoir Proved Revision Revision New Field Discoveries Estimated Proved Reserves Adjustments Increases ...

  7. Florida Coalbed Methane Production (Billion Cubic Feet)

    Annual Energy Outlook

    Release Date: 11192015 Next Release Date: 12312016 Referring Pages: Coalbed Methane Estimated Production Florida Coalbed Methane Proved Reserves, Reserves Changes, and ...

  8. West Virginia Dry Natural Gas Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Lease Separation 24 29 52 21 70 32 1979-2014 Adjustments 8 -3 -1 -16 114 -29 1979-2014 Revision Increases 0 3 26 0 2 1 1979-2014 Revision Decreases 5 2 6 13 59 6 1979-2014 Sales 0 7 26 0 0 1 2000-2014 Acquisitions 0 14 33 0 0 0 2000-2014 Extensions 0 3 0 0 0 0 1979-2014 New Field Discoveries 0 0 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 1979-2014 Estimated Production 2 3 3 2 8 3 Production

    20 220 139 107 113 76 2005-2014 Adjustments 0 0 -1 1 0 -2 2009-2014

  9. Automated Estimating System

    Energy Science and Technology Software Center

    1996-04-15

    AES6.1 is a PC software package developed to aid in the preparation and reporting of cost estimates. AES6.1 provides an easy means for entering and updating the detailed cost, schedule information, project work breakdown structure, and escalation information contained in a typical project cost estimate through the use of menus and formatted input screens. AES6.1 combines this information to calculate both unescalated and escalated cost for a project which can be reported at varying levelsmore » of detail. Following are the major modifications to AES6.0f: Contingency update was modified to provide greater flexibility for user updates, Schedule Update was modified to provide user ability to schedule Bills of Material at the WBS/Participant/Cost Code level, Schedule Plot was modified to graphically show schedule by WBS/Participant/Cost Code, All Fiscal Year reporting has been modified to use the new schedule format, The Schedule 1-B-7, Cost Schedule, and the WBS/Participant reprorts were modified to determine Phase of Work from the B/M Cost Code, Utility program was modified to allow selection by cost code and update cost code in the Global Schedule update, Generic summary and line item download were added to the utility program, and an option was added to all reports which allows the user to indicate where overhead is to be reported (bottom line or in body of report)« less

  10. 3-D seismic data for field development: Landslide field case study

    SciTech Connect

    Raeuchle, S.K.; Carr, T.R.; Tucker, R.D. )

    1990-05-01

    The Landslide field is located on the extreme southern flank of the San Joaquin basin, approximately 25 mi south of Bakersfield, California. The field, discovered in 1985, has produced in excess 9 million bbl of oil with an estimated ultimate recovery of more than 13 MMBO. The Miocene Stevens sands, which form the reservoir units at Landslide field, are interpreted as a series of constructional submarine fan deposits. Deposition of the fans was controlled by paleotopography with an abrupt updip pinch-out of the sands to the southwest. The three-dimensional seismic data over the field was used to locate the bottom hole of the landslide 22X-30 development well as close to this abrupt updip pinchout as possible in order to maximize oil recovery. A location was selected two traces (330 ft) from the updip pinch-out as mapped on the seismic data. The well was successfully drilled during 1989, encountering 150 ft of net sand with initial production in excess of 1,500 bbl of oil/day. A pressure buildup test indicates the presence of a boundary approximately 200 ft from the well bore. This boundary is interpreted as the updip pinchout of the Stevens sands against the paleohigh. Based on examination of changes in amplitude, the absence or presence of reservoir-quality sand can be mapped across the paleohighs. Application of three-dimensional seismic data, integration with well data, and in particular reconstruction cuts tied closely to existing wells can be used to map the ultimate extent of the field and contribute to efficient development.

  11. EIA-914 Monthly Gas Production Report Methodology

    Gasoline and Diesel Fuel Update

    ... T T T m A test close to the actual task of estimating monthly 2005 production calibrated ... For a test month, the prior 6 months of production data were linearly fit and the linear ...

  12. ARM - Evaluation Product - ARM Navigation Best Estimate 10 Hz...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... Factor Affecting the Research Data will be unavailable for certain periods of time due to instrument failure and power outage, however every effort is made to provide a complete ...

  13. Ohio Dry Natural Gas Reserves Estimated Production (Billion Cubic...

    Energy Information Administration (EIA) (indexed site)

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 60 65 105 1980's 137 85 99 179 169 140 149 117 132 130 1990's 127 132 117 121 119 115 121 105 94 ...

  14. Michigan Dry Natural Gas Reserves Estimated Production (Billion...

    Energy Information Administration (EIA) (indexed site)

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 135 149 134 1980's 160 139 133 125 138 132 128 130 126 129 1990's 120 155 145 141 150 163 208 ...

  15. Kansas Dry Natural Gas Reserves Estimated Production (Billion...

    Energy Information Administration (EIA) (indexed site)

    447 503 461 437 546 549 1990's 523 580 590 657 671 673 702 629 548 486 2000's 491 438 471 426 376 380 350 361 357 334 2010's 305 285 281 283 272 - No Data Reported; -- Not ...

  16. ARM Best Estimate Data (ARMBE) Products for Climate Science for...

    Office of Scientific and Technical Information (OSTI)

    Language: English Subject: 54 Environmental Sciences ARM; ARMBE; CSSEF; precipitation rate; Horizontal wind; Air Temperature; Relative Humidity; Surface Air Pressure Dataset File ...

  17. Associated-Dissolved Natural Gas Estimated Production, Wet After Lease

    Energy Information Administration (EIA) (indexed site)

    Separation 2,556 2,445 2,722 3,393 4,114 5,277 1979-2014 Federal Offshore U.S. 659 564 514 535 562 615 1990-2014 Pacific (California) 36 28 31 22 21 21 1979-2014 Gulf of Mexico (Louisiana & Alabama) 522 468 415 411 435 464 1981-2014 Gulf of Mexico (Texas) 101 68 68 102 106 130 1981-2014 Alaska 225 174 176 172 181 204 1979-2014 Lower 48 States 2,331 2,271 2,546 3,221 3,933 5,073 1979-2014 Alabama 5 6 8 17 9 17 1979-2014 Arkansas 4 4 6 9 9 10 1979-2014 California 171 186 260 155 157 147

  18. Question/comment: An estimate of the direct productive labor...

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    ... QuestionComment: "NETL has determined that this procurement is governed by the EPACT, ... QuestionComment: Will subcontractors be bound by indirect rate ceilings? If so and given ...

  19. Nonassociated Natural Gas Estimated Production, Wet After Lease Separation

    Energy Information Administration (EIA) (indexed site)

    19,981 20,779 21,899 22,704 22,353 22,817 1979-2014 Federal Offshore U.S. 1,779 1,660 1,210 894 691 592 1990-2014 Pacific (California) 1 1 0 0 0 0 1979-2014 Gulf of Mexico (Louisiana & Alabama) 1,425 1,318 960 710 551 468 1981-2014 Gulf of Mexico (Texas) 353 341 250 184 140 124 1981-2014 Alaska 136 145 152 129 108 101 1979-2014 Lower 48 States 19,845 20,634 21,747 22,575 22,245 22,716 1979-2014 Alabama 256 225 218 204 174 167 1979-2014 Arkansas 694 948 1,074 1,143 1,132 1,133 1979-2014

  20. Crude Oil plus Lease Condensate Estimated Production, Wet After Lease

    Energy Information Administration (EIA) (indexed site)

    Separation 1,929 1,991 2,065 2,386 2,729 3,200 2009-2014 Federal Offshore U.S. 599 590 504 474 489 547 2009-2014 Pacific (California) 22 19 22 15 20 20 2009-2014 Gulf of Mexico (Louisiana & Alabama) 522 518 432 387 398 449 2009-2014 Gulf of Mexico (Texas) 55 53 50 72 71 78 2009-2014 Alaska 210 195 206 191 186 182 2009-2014 Lower 48 States 1,719 1,796 1,859 2,195 2,543 3,018 2009-2014 Alabama 7 7 8 10 10 9 2009-2014 Arkansas 6 5 6 6 4 6 2009-2014 California 208 198 196 198 199 203

  1. Estimated Production of Natural Gas, Wet After Lease Separation

    Energy Information Administration (EIA) (indexed site)

    2,537 23,224 24,621 26,097 26,467 28,094 1979-2014 Federal Offshore U.S. 2,438 2,224 1,724 1,429 1,253 1,207 1990-2014 Pacific (California) 37 29 31 22 21 21 1979-2014 Gulf of Mexico (Louisiana & Alabama) 1,947 1,786 1,375 1,121 986 932 1981-2014 Gulf of Mexico (Texas) 454 409 318 286 246 254 1981-2014 Alaska 361 319 328 301 289 305 1979-2014 Lower 48 States 22,176 22,905 24,293 25,796 26,178 27,789 1979-2014 Alabama 261 231 226 221 183 184 1979-2014 Arkansas 698 952 1,080 1,152 1,141 1,143

  2. Mass Production Cost Estimation of Direct Hydrogen PEM Fuel Cell...

    Office of Energy Efficiency and Renewable Energy (EERE) (indexed site)

    vehicles that are tethered to petroleum fuels. ... wind, hydroelectric, solar, and biomass. Thus, fuel cell vehicles offer an ... for automotive vs. 160kW electricnet ...

  3. Domestic Uranium Production Report

    Gasoline and Diesel Fuel Update

    2. U.S. uranium mine production and number of mines and sources, 2003-15 Production / Mining method 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 Underground (estimated contained thousand pounds U3O8) W W W W W W W W W W W W W Open Pit (estimated contained thousand pounds U3O8) 0 0 0 0 0 0 0 0 0 0 0 0 0 In-Situ Leaching (thousand pounds U3O8) W W 2,681 4,259 W W W W W W W W W Other1 (thousand pounds U3O8) W W W W W W W W W W W W W Total Mine Production (thousand pounds U3O8)

  4. Electric and Magnetic Fields (EMF) RAPID Engineering Program, Project 7: Development of Field Exposure Models

    SciTech Connect

    Bracken, T.D.; Rankin, R.F.; Wiley, J.A.

    1999-05-01

    The purpose of this project was to develop a conceptual model for estimating magnetic field (EMF) personal exposure (PE) of individuals or groups and construct a working model using existing data.

  5. Interferometry with synthetic gauge fields

    SciTech Connect

    Anderson, Brandon M.; Taylor, Jacob M.; Galitski, Victor M.

    2011-03-15

    We propose a compact atom interferometry scheme for measuring weak, time-dependent accelerations. Our proposal uses an ensemble of dilute trapped bosons with two internal states that couple to a synthetic gauge field with opposite charges. The trapped gauge field couples spin to momentum to allow time-dependent accelerations to be continuously imparted on the internal states. We generalize this system to reduce noise and estimate the sensitivity of such a system to be S{approx}10{sup -7}(m/s{sup 2}/{radical}(Hz)).

  6. Michigan Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Michigan Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 96 1980's 111 94 81 69 81 69 68 68 76 85 1990's 76 114 110 111 115 130 179 192 215 208 2000's 300 218 218 195 194 198 183 170 145 151 2010's 151 137 130 120 112 - = No Data Reported; -- =

  7. Montana Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Montana Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 42 1980's 51 74 36 39 38 41 31 32 47 36 1990's 40 42 46 44 43 45 47 51 46 35 2000's 62 67 70 79 86 86 100 92 88 80 2010's 70 57 45 39 35 - = No Data Reported; -- = Not Applicable; NA = Not

  8. Alabama Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Alabama Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 44 1980's 63 85 1990's 104 147 254 276 385 354 367 372 391 380 2000's 365 345 365 347 325 298 286 273 262 256 2010's 225 218 204 174 167 - = No Data Reported; -- = Not Applicable; NA = Not

  9. Alaska Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Alaska Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 176 1980's 161 181 188 193 189 200 179 179 184 192 1990's 158 184 219 184 201 195 211 207 204 202 2000's 198 213 200 204 206 213 192 164 149 136 2010's 145 152 129 108 101 - = No Data

  10. Arkansas Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Arkansas Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 91 1980's 90 94 150 196 178 173 119 124 154 161 1990's 152 152 180 167 167 160 178 173 157 159 2000's 150 157 153 161 166 171 183 265 454 694 2010's 948 1,074 1,143 1,132 1,133 - = No Data

  11. California - Coastal Region Onshore Crude Oil + Lease Condensate Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) California - Coastal Region Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 18 2010's 18 20 22 23 23 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  12. California - Coastal Region Onshore Dry Natural Gas Reserves Estimated

    Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) California - Coastal Region Onshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 29 28 28 1980's 27 31 34 34 28 28 26 24 23 23 1990's 23 20 20 17 16 14 13 17 12 8 2000's 10 12 11 11 10 18 9 12 11 12 2010's 12 11 11 12 13 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure

  13. California - Los Angeles Basin Onshore Dry Natural Gas Reserves Estimated

    Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) California - Los Angeles Basin Onshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 30 22 23 1980's 19 22 13 16 26 22 17 17 15 15 1990's 10 11 10 9 9 8 10 10 9 9 2000's 8 9 9 10 10 9 8 8 6 7 2010's 6 6 6 6 7 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  14. California - San Joaquin Basin Onshore Dry Natural Gas Reserves Estimated

    Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) California - San Joaquin Basin Onshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 235 252 285 1980's 238 310 290 307 342 323 313 292 286 259 1990's 252 270 245 219 213 188 186 178 217 237 2000's 256 307 264 238 220 234 232 227 217 214 2010's 220 289 178 165 150 - = No Data Reported; -- = Not Applicable; NA = Not

  15. California Federal Offshore Crude Oil + Lease Condensate Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) California Federal Offshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 22 2010's 19 22 15 20 20 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  16. California Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) California Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 160 1980's 152 180 151 144 115 1990's 117 140 131 107 98 98 81 65 51 47 2000's 80 94 88 87 77 85 88 101 88 80 2010's 69 64 59 46 42 - = No Data Reported; -- = Not Applicable; NA = Not

  17. New York Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) New York Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 11 1980's 10 11 9 12 18 18 27 23 19 22 1990's 18 19 22 22 21 16 21 18 16 15 2000's 14 28 35 35 44 51 49 44 46 35 2010's 35 30 26 22 19 - = No Data Reported; -- = Not Applicable; NA = Not

  18. Ohio Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Ohio Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 32 1980's 26 19 19 30 51 51 47 45 69 62 1990's 83 77 68 67 79 67 57 48 42 52 2000's 48 48 60 62 63 61 63 63 70 69 2010's 65 68 65 144 486 - = No Data Reported; -- = Not Applicable; NA = Not

  19. Texas - RRC District 2 Onshore Crude Oil + Lease Condensate Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 2 Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 10 2010's 15 46 107 170 234 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date:

  20. Texas - RRC District 2 Onshore Dry Natural Gas Reserves Estimated

    Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 2 Onshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 396 349 413 1980's 366 404 374 343 320 328 341 349 318 291 1990's 254 244 246 232 224 189 190 214 219 306 2000's 361 322 288 282 296 305 323 301 310 259 2010's 237 306 430 534 673 - = No Data Reported; -- = Not Applicable; NA = Not

  1. Texas - RRC District 3 Onshore Crude Oil + Lease Condensate Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 3 Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 40 2010's 44 40 42 48 60 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  2. Texas - RRC District 3 Onshore Dry Natural Gas Reserves Estimated

    Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) Estimated Production (Billion Cubic Feet) Texas - RRC District 3 Onshore Dry Natural Gas Reserves Estimated Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 1,063 1,003 955 1980's 865 796 782 740 752 673 639 569 533 517 1990's 474 470 502 532 600 701 856 886 781 813 2000's 883 741 588 576 582 558 532 512 505 509 2010's 508 409 350 317 321 - = No Data Reported; -- = Not Applicable; NA = Not

  3. Texas - RRC District 4 Onshore Crude Oil + Lease Condensate Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Million Barrels) Estimated Production from Reserves (Million Barrels) Texas - RRC District 4 Onshore Crude Oil + Lease Condensate Estimated Production from Reserves (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 14 2010's 15 17 21 23 25 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 11/19/2015 Next Release Date: 12/31/2016

  4. Utah Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Utah Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 29 1980's 37 58 65 49 59 59 46 36 30 41 1990's 42 49 77 137 160 151 166 169 204 208 2000's 218 276 275 266 268 286 323 340 393 423 2010's 405 413 441 414 374 - = No Data Reported; -- = Not

  5. Virginia Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Virginia Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 6 4 8 15 15 19 18 18 1990's 7 12 25 36 51 52 55 46 61 66 2000's 71 78 75 82 72 70 102 109 126 178 2010's 172 156 153 142 145 - = No Data Reported; -- = Not Applicable; NA = Not Available; W

  6. Florida Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Florida Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 0 1980's 0 0 0 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 7 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid

  7. Kansas Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Kansas Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 755 1980's 647 602 439 374 455 509 465 441 551 553 1990's 525 597 610 675 697 702 730 647 577 520 2000's 519 460 495 446 396 396 365 377 368 346 2010's 316 294 273 266 253 - = No Data

  8. Kentucky Nonassociated Natural Gas, Wet After Lease Separation, Estimated

    Energy Information Administration (EIA) (indexed site)

    Production from Reserves (Billion Cubic Feet) Estimated Production from Reserves (Billion Cubic Feet) Kentucky Nonassociated Natural Gas, Wet After Lease Separation, Estimated Production from Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1970's 52 1980's 61 53 46 40 55 53 56 58 60 65 1990's 63 80 63 68 65 69 60 81 65 60 2000's 69 77 83 80 87 88 70 84 97 113 2010's 102 107 88 87 74 - = No Data Reported; -- = Not Applicable; NA = Not

  9. Cost Estimating, Analysis, and Standardization

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1984-11-02

    To establish policy and responsibilities for: (a) developing and reviewing project cost estimates; (b) preparing independent cost estimates and analysis; (c) standardizing cost estimating procedures; and (d) improving overall cost estimating and analytical techniques, cost data bases, cost and economic escalation models, and cost estimating systems. Cancels DOE O 5700.2B, dated 8-5-1983; DOE O 5700.8, dated 5-27-1981; and HQ 1130.1A, dated 12-30-1981. Canceled by DOE O 5700.2D, dated 6-12-1992

  10. Little Knife field - US Williston basin

    SciTech Connect

    Wittstrom, M.D.; Lindsay, R.F. )

    1991-03-01

    Little Knife field is a combination structural and stratigraphic trap located near the structural center of the Williston basin, North Dakota. The field is approximately 12 mi (19.3 km) long and 2.5 to 5.5 mi (4 to 8.9 km) wide. Little Knife was discovered by Gulf Oil in 1976 as part of a regional exploration play involving a transition from impermeable to porous carbonate rocks. In 1987, ultimate recovery from the Mission Canyon (Mississippian) reservoir was estimated to be 97.5 MMBO. This included 57.5 MMBO primary, 27 MMBO secondary, and 13 MMBO tertiary (CO{sub 2}) oil. At present the field is still under primary recovery, since utilization efforts have not been successful. Approximately one-third of Little Knife's 130 ft (39.6 m) oil column is trapped by structural closure beneath a regional anhydrite seal in a north-south-trending anticline. The remaining two-thirds of the oil column is trapped where the reservoir beds change facies from porous dolostones and dolomitic limestones to nonporous limestones. Structural entrapment accounts for approximately 50% (127 MMBO) of the OOIP, but covers only 30% of the producing area. Production is from the upper portions of the Mission Canyon Formation, a regressive, shoaling-upward carbonate-anhydrite sequence deposited in a slowly shrinking epeiric sea. The Mission Canyon in the Little Knife area is divided into six zones that record predominantly cyclic, subtidal deposition. These are overlain by prograding lagoonal, tidal flat, and sabkha beds. The source of Mission Canyon oil is thought to be the Bakken Formation, an organic-rich shale at the base of the Mississippian.

  11. AN OVERVIEW OF TOOL FOR RESPONSE ACTION COST ESTIMATING (TRACE)

    SciTech Connect

    FERRIES SR; KLINK KL; OSTAPKOWICZ B

    2012-01-30

    Tools and techniques that provide improved performance and reduced costs are important to government programs, particularly in current times. An opportunity for improvement was identified for preparation of cost estimates used to support the evaluation of response action alternatives. As a result, CH2M HILL Plateau Remediation Company has developed Tool for Response Action Cost Estimating (TRACE). TRACE is a multi-page Microsoft Excel{reg_sign} workbook developed to introduce efficiencies into the timely and consistent production of cost estimates for response action alternatives. This tool combines costs derived from extensive site-specific runs of commercially available remediation cost models with site-specific and estimator-researched and derived costs, providing the best estimating sources available. TRACE also provides for common quantity and key parameter links across multiple alternatives, maximizing ease of updating estimates and performing sensitivity analyses, and ensuring consistency.

  12. Kalman-filtered compressive sensing for high resolution estimation of anthropogenic greenhouse gas emissions from sparse measurements.

    SciTech Connect

    Ray, Jaideep; Lee, Jina; Lefantzi, Sophia; Yadav, Vineet; Michalak, Anna M.; van Bloemen Waanders, Bart Gustaaf; McKenna, Sean Andrew

    2013-09-01

    The estimation of fossil-fuel CO2 emissions (ffCO2) from limited ground-based and satellite measurements of CO2 concentrations will form a key component of the monitoring of treaties aimed at the abatement of greenhouse gas emissions. The limited nature of the measured data leads to a severely-underdetermined estimation problem. If the estimation is performed at fine spatial resolutions, it can also be computationally expensive. In order to enable such estimations, advances are needed in the spatial representation of ffCO2 emissions, scalable inversion algorithms and the identification of observables to measure. To that end, we investigate parsimonious spatial parameterizations of ffCO2 emissions which can be used in atmospheric inversions. We devise and test three random field models, based on wavelets, Gaussian kernels and covariance structures derived from easily-observed proxies of human activity. In doing so, we constructed a novel inversion algorithm, based on compressive sensing and sparse reconstruction, to perform the estimation. We also address scalable ensemble Kalman filters as an inversion mechanism and quantify the impact of Gaussian assumptions inherent in them. We find that the assumption does not impact the estimates of mean ffCO2 source strengths appreciably, but a comparison with Markov chain Monte Carlo estimates show significant differences in the variance of the source strengths. Finally, we study if the very different spatial natures of biogenic and ffCO2 emissions can be used to estimate them, in a disaggregated fashion, solely from CO2 concentration measurements, without extra information from products of incomplete combustion e.g., CO. We find that this is possible during the winter months, though the errors can be as large as 50%.

  13. Performance of internal covariance estimators for cosmic shear correlation functions

    DOE PAGES [OSTI]

    Friedrich, O.; Seitz, S.; Eifler, T. F.; Gruen, D.

    2015-12-31

    Data re-sampling methods such as the delete-one jackknife are a common tool for estimating the covariance of large scale structure probes. In this paper we investigate the concepts of internal covariance estimation in the context of cosmic shear two-point statistics. We demonstrate how to use log-normal simulations of the convergence field and the corresponding shear field to carry out realistic tests of internal covariance estimators and find that most estimators such as jackknife or sub-sample covariance can reach a satisfactory compromise between bias and variance of the estimated covariance. In a forecast for the complete, 5-year DES survey we show that internally estimated covariance matrices can provide a large fraction of the true uncertainties on cosmological parameters in a 2D cosmic shear analysis. The volume inside contours of constant likelihood in themore » $$\\Omega_m$$-$$\\sigma_8$$ plane as measured with internally estimated covariance matrices is on average $$\\gtrsim 85\\%$$ of the volume derived from the true covariance matrix. The uncertainty on the parameter combination $$\\Sigma_8 \\sim \\sigma_8 \\Omega_m^{0.5}$$ derived from internally estimated covariances is $$\\sim 90\\%$$ of the true uncertainty.« less

  14. Performance of internal covariance estimators for cosmic shear correlation functions

    SciTech Connect

    Friedrich, O.; Seitz, S.; Eifler, T. F.; Gruen, D.

    2015-12-31

    Data re-sampling methods such as the delete-one jackknife are a common tool for estimating the covariance of large scale structure probes. In this paper we investigate the concepts of internal covariance estimation in the context of cosmic shear two-point statistics. We demonstrate how to use log-normal simulations of the convergence field and the corresponding shear field to carry out realistic tests of internal covariance estimators and find that most estimators such as jackknife or sub-sample covariance can reach a satisfactory compromise between bias and variance of the estimated covariance. In a forecast for the complete, 5-year DES survey we show that internally estimated covariance matrices can provide a large fraction of the true uncertainties on cosmological parameters in a 2D cosmic shear analysis. The volume inside contours of constant likelihood in the $\\Omega_m$-$\\sigma_8$ plane as measured with internally estimated covariance matrices is on average $\\gtrsim 85\\%$ of the volume derived from the true covariance matrix. The uncertainty on the parameter combination $\\Sigma_8 \\sim \\sigma_8 \\Omega_m^{0.5}$ derived from internally estimated covariances is $\\sim 90\\%$ of the true uncertainty.

  15. Heavy oil production from Alaska

    SciTech Connect

    Mahmood, S.M.; Olsen, D.K.

    1995-12-31

    North Slope of Alaska has an estimated 40 billion barrels of heavy oil and bitumen in the shallow formations of West Sak and Ugnu. Recovering this resource economically is a technical challenge for two reasons: (1) the geophysical environment is unique, and (2) the expected recovery is a low percentage of the oil in place. The optimum advanced recovery process is still undetermined. Thermal methods would be applicable if the risks of thawing the permafrost can be minimized and the enormous heat losses reduced. Use of enriched natural gas is a probable recovery process for West Sak. Nearby Prudhoe Bay field is using its huge natural gas resources for pressure maintenance and enriched gas improved oil recovery (IOR). Use of carbon dioxide is unlikely because of dynamic miscibility problems. Major concerns for any IOR include close well spacing and its impact on the environment, asphaltene precipitation, sand production, and fines migration, in addition to other more common production problems. Studies have indicated that recovering West Sak and Lower Ugnu heavy oil is technically feasible, but its development has not been economically viable so far. Remoteness from markets and harsh Arctic climate increase production costs relative to California heavy oil or Central/South American heavy crude delivered to the U.S. Gulf Coast. A positive change in any of the key economic factors could provide the impetus for future development. Cooperation between the federal government, state of Alaska, and industry on taxation, leasing, and permitting, and an aggressive support for development of technology to improve economics is needed for these heavy oil resources to be developed.

  16. Domestic Uranium Production Report

    Gasoline and Diesel Fuel Update

    10. Uranium reserve estimates at the end of 2014 and 2015 million pounds U3O8 End of 2014 End of 2015 Forward Cost2 Uranium Reserve Estimates1 by Mine and Property Status, Mining Method, and State(s) $0 to $30 per pound $0 to $50 per pound $0 to $100 per pound $0 to $30 per pound $0 to $50 per pound $0 to $100 per pound Properties with Exploration Completed, Exploration Continuing, and Only Assessment Work W W 154.6 24.3 W 151.6 Properties Under Development for Production and Development

  17. Alaska North Slope National Energy Strategy initiative: Analysis of five undeveloped fields

    SciTech Connect

    Thomas, C.P.; Allaire, R.B.; Doughty, T.C.; Faulder, D.D.; Irving, J.S.; Jamison, H.C.; White, G.J.

    1993-05-01

    The US Department of Energy was directed in the National Energy Strategy to establish a federal interagency task force to identify specific technical and regulatory barriers to the development of five undeveloped North Slope Alaska fields and make recommendations for their resolution. The five fields are West Sak, Point Thomson, Gwydyr Bay, Seal Island/Northstar, and Sandpiper Island. Analysis of environmental, regulatory, technical, and economic information, and data relating to the development potential of the five fields leads to the following conclusions: Development of the five fields would result in an estimated total of 1,055 million barrels of oil and 4.4 trillion cubic feet of natural gas and total investment of $9.4 billion in 1992 dollars. It appears that all five of the fields will remain economically marginal developments unless there is significant improvement in world oil prices. Costs of regulatory compliance and mitigation, and costs to reduce or maintain environmental impacts at acceptable levels influence project investments and operating costs and must be considered in the development decision making process. The development of three of the fields (West Sak, Point Thomson, and Gwydyr Bay) that are marginally feasible would have an impact on North Slope production over the period from about 2000 to 2014 but cannot replace the decline in Prudhoe Bay Unit production or maintain the operation of the Trans-Alaska Pipeline System (TAPS) beyond about 2014 with the assumption that the TAPS will shut down when production declines to the range of 400 to 200 thousand barrels of oil/day. Recoverable reserves left in the ground in the currently producing fields and soon to be developed fields, Niakuk and Point McIntyre, would range from 1 billion to 500 million barrels of oil corresponding to the time period of 2008 to 2014 based on the TAPS shutdown assumption.

  18. Estimating demolition cost of plutonium buildings for dummies

    SciTech Connect

    Tower, S.E.

    2000-07-01

    The primary purpose of the Rocky Flats Field Office of the US Department of Energy is to decommission the entire plant. In an effort to improve the basis and the accuracy of the future decommissioning cost, Rocky Flats has developed a powerful but easy-to-use tool to determine budget cost estimates to characterize, decontaminate, and demolish all its buildings. The parametric cost-estimating tool is called the Facilities Disposition Cost Model (FDCM).

  19. WIPP - Freedom of Information Act (FOIA) Requests Received and Estimated

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Completion Dates Requests Received and Estimated Completion Dates Requesters who have submitted Freedom of Information (FOIA) requests to the Carlsbad Field Office on or after December 31, 2008, may obtain the date received by this office and the estimated completion date by clicking here. You will need to know your FOIA control number to identify your request on the listing. If you would like additional information related to your request you should contact the FOIA Requester Service

  20. Robust and intelligent bearing estimation

    DOEpatents

    Claassen, John P.

    2000-01-01

    A method of bearing estimation comprising quadrature digital filtering of event observations, constructing a plurality of observation matrices each centered on a time-frequency interval, determining for each observation matrix a parameter such as degree of polarization, linearity of particle motion, degree of dyadicy, or signal-to-noise ratio, choosing observation matrices most likely to produce a set of best available bearing estimates, and estimating a bearing for each observation matrix of the chosen set.

  1. New developments in capital cost estimating

    SciTech Connect

    Stutz, R.A.; Zocher, M.A.

    1988-01-01

    The new developments in cost engineering revolve around the ability to capture information that in the past could not be automated. The purpose of automation is not to eliminate the expert cost engineer. The goal is to use available technology to have more information available to the professionals in the cost engineering field. In that sense, the demand for expertise increases in order to produce the highest quality estimate and project possible from all levels of cost engineers. We cannot overemphasize the importance of using a good source of expert information in building these types of programs. ''Garbage in, garbage out'' still applies in this form of programming. Expert systems technology will become commonplace in many vertical markets; it is important to undersand what can and cannot be accomplished in our field, and where this technology will lead us in the future.

  2. Lease Condensate Production

    Gasoline and Diesel Fuel Update

    Authors: Lauren Mayne and John Staub 1 Direct all questions to John Staub, john.staub@eia.gov, (202) 586-6344 Disclaimer: Views not necessarily those of the U.S. Energy Information Administration Incorporating International Petroleum Reserves and Resource Estimates into Projections of Production U.S. Energy Information Administration June 7, 2011 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not

  3. ARM - VAP Product - abrfcprecip

    U.S. Department of Energy (DOE) - all webpages (Extended Search)

    Productsabrfcabrfcprecip Documentation abrfc : XDC documentation Data Management Facility Plots (Quick Looks) ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send VAP Output : ABRFCPRECIP Arkansas-Red Basin River Forecast Center: estimated precipitation Active Dates 1994.06.24 - 2016.09.22 Originating VAP Process Arkansas-Red Basin River Forecast Center : ABRFC Measurements The measurements below provided by this product

  4. Italy - Adriatic Sea - Barbara - A giant gas field marked by seismic velocity anomaly - A subtle trap

    SciTech Connect

    Ianniello, A.; Bolelli, W.; Di Scala, L. )

    1990-09-01

    Barbara gas field, discovered in 1971, is located in the northern sector of the Adriatic offshore. The field is a gentle anticline involving Quaternary clastic sediments and shaped by carbonate Mesozoic morphology. The presence of shallow gas pockets at the crest of the structure distort the seismic signal to such an extent that structural reconstruction using seismic data is not possible. Moreover, time delays and ray-path anomalies do not allow the use of staking velocities for the depth conversion. Seismic attribute analysis, instead of velocities, and time delays on the isochrone maps are providing a key to the understanding of seismic anomalies and are an indirect tool for reconstructing the real structural configuration of the field. The appraisal story of the field illustrates how the previously mentioned complications influenced its delineation and how an understanding of these complications helped in upgrading the reserves from an initial value of 10 billion ECM of gas to 40 billion ECM. Additional data acquired with the development wells tend to increase the estimate. Therefore, Barbara field is the most important Italian gas field of the decade. The producing formation is composed of very thin-bedded sandstone and shale intercalations, representing the peculiarity of this reservoir. Development of the field is being achieved with six production platforms and 72 wells.

  5. Internal split field generator

    DOEpatents

    Thundat; Thomas George; Van Neste, Charles W.; Vass, Arpad Alexander

    2012-01-03

    A generator includes a coil of conductive material. A stationary magnetic field source applies a stationary magnetic field to the coil. An internal magnetic field source is disposed within a cavity of the coil to apply a moving magnetic field to the coil. The stationary magnetic field interacts with the moving magnetic field to generate an electrical energy in the coil.

  6. Derived Annual Estimates of Manufacturing Energy Consumption...

    Energy Information Administration (EIA) (indexed site)

    > Derived Annual Estimates - Executive Summary Derived Annual Estimates of Manufacturing Energy Consumption, 1974-1988 Figure showing Derived Estimates Executive Summary This...

  7. Examples of Cost Estimation Packages

    Directives, Delegations, and Other Requirements [Office of Management (MA)]

    1997-03-28

    Estimates can be performed in a variety of ways. Some of these are for projects for an undefined scope, a conventional construction project, or where there is a level of effort required to complete the work. Examples of cost estimation packages for these types of projects are described in this appendix.

  8. Quantity Estimation Of The Interactions

    SciTech Connect

    Gorana, Agim; Malkaj, Partizan; Muda, Valbona

    2007-04-23

    In this paper we present some considerations about quantity estimations, regarding the range of interaction and the conservations laws in various types of interactions. Our estimations are done under classical and quantum point of view and have to do with the interaction's carriers, the radius, the influence range and the intensity of interactions.

  9. Interwell Connectivity and Diagnosis Using Correlation of Production and Injection Rate Data in Hydrocarbon Production

    SciTech Connect

    Jerry L. Jensen; Larry W. Lake; Ali Al-Yousef; Dan Weber; Ximing Liang; T.F. Edgar; Nazli Demiroren; Danial Kaviani

    2007-03-31

    This report details progress and results on inferring interwell communication from well rate fluctuations. Starting with the procedure of Albertoni and Lake (2003) as a foundation, the goal of the project was to develop further procedures to infer reservoir properties through weights derived from correlations between injection and production rates. A modified method, described in Yousef and others (2006a,b), and herein referred to as the 'capacitance model', is the primary product of this research project. The capacitance model (CM) produces two quantities, {lambda} and {tau}, for each injector-producer well pair. For the CM, we have focused on the following items: (1) Methods to estimate {lambda} and {tau} from simulated and field well rates. The original method uses both non-linear and linear regression and lacks the ability to include constraints on {lambda} and {tau}. The revised method uses only non-linear regression, permitting constraints to be included as well as accelerating the solution so that problems with large numbers of wells are more tractable. (2) Approaches to integrate {lambda} and {tau} to improve connectivity evaluations. Interpretations have been developed using Lorenz-style and log-log plots to assess heterogeneity. Testing shows the interpretations can identify whether interwell connectivity is controlled by flow through fractures, high-permeability layers, or due to partial completion of wells. Applications to the South Wasson and North Buck Draw Fields show promising results. (3) Optimization of waterflood injection rates using the CM and a power law relationship for watercut to maximize economic return. Tests using simulated data and a range of oil prices show the approach is working. (4) Investigation of methods to increase the robustness of {lambda} and {tau} estimates. Human interventions, such as workovers, also cause rate fluctuations and can be misinterpreted by the model if bottom hole pressure data are not available. A revised

  10. Response of the Los Azufres Geothermal Field to Four Years of 25 MW Wellhead Generation

    SciTech Connect

    Kruger, P.; Ortiz, J.; Miranda, G.; Gallardo, M.

    1987-01-20

    Production and chemical data have been compiled and analyzed on a six-month averaged basis for the first four years of electric energy generation with five 5-MW wellhead generators at the Los Azufres geothermal field. The data were evaluated with respect to the extent of observable thermal drawdown of the reservoir from 25 MW of generation in relation to the estimated capacity of the field of several hundred megawatts of power. The analysis updates the previous one compiled after the first two years of continuous production, at which time the results indicated that differences in reservoir temperature estimated from geochemical thermometers and wellhead production data were not statistically significant based on the number of data and the standard deviations. Analysis of the data after four years of operation were made for the larger number of data and smaller standard deviations. The results review the adequacy of the sampling frequency and the reliability of the measurements from statistical t-Test of the means of the first and second two-year periods. 3 figs., 5 tabs., 20 refs.

  11. Fission Product Yields of {sup 233}U, {sup 235}U, {sup 238}U and {sup 239}Pu in Fields of Thermal Neutrons, Fission Neutrons and 14.7-MeV Neutrons

    SciTech Connect

    Laurec, J.; Adam, A.; Bruyne, T. de [Commissariat a l'Energie Atomique, Centre DAM-Ile de France (CEA DAM DIF), 91297 Arpajon (France); Bauge, E., E-mail: eric.bauge@cea.f [Commissariat a l'Energie Atomique, Centre DAM-Ile de France (CEA DAM DIF), 91297 Arpajon (France); Granier, T.; Aupiais, J.; Bersillon, O.; Le Petit, G. [Commissariat a l'Energie Atomique, Centre DAM-Ile de France (CEA DAM DIF), 91297 Arpajon (France); Authier, N.; Casoli, P. [Commissariat a l'Energie Atomique, Centre de Valduc, 21120 Is-sur-Tille (France)

    2010-12-15

    The yields of more than fifteen fission products have been carefully measured using radiochemical techniques, for {sup 235}U(n,f), {sup 239}Pu(n,f) in a thermal spectrum, for {sup 233}U(n,f), {sup 235}U(n,f), and {sup 239}Pu(n,f) reactions in a fission neutron spectrum, and for {sup 233}U(n,f), {sup 235}U(n,f), {sup 238}U(n,f), and {sup 239}Pu(n,f) for 14.7 MeV monoenergetic neutrons. Irradiations were performed at the EL3 reactor, at the Caliban and Prospero critical assemblies, and at the Lancelot electrostatic accelerator in CEA-Valduc. Fissions were counted in thin deposits using fission ionization chambers. The number of fission products of each species were measured by gamma spectrometry of co-located thick deposits.

  12. GAO Cost Estimating and Assessment Guide

    Energy.gov [DOE]

    GAO Cost Estimating and Assessment Guide: Twelve Steps of a High-Quality Cost Estimating Process, from the first step of defining the estimate's purpose to the last step of updating the estimate to reflect actual costs and changes.

  13. Oklahoma Lease Condensate Proved Reserves, Reserve Changes, and Production

    Energy Information Administration (EIA) (indexed site)

    2009 2010 2011 2012 2013 2014 View History Proved Reserves as of Dec. 31 180 216 271 346 450 480 1979-2014 Adjustments 0 14 -8 -11 -11 -5 2009-2014 Revision Increases 23 46 51 79 94 99 2009-2014 Revision Decreases 36 54 42 64 69 123 2009-2014 Sales 5 1 26 9 5 17 2009-2014 Acquisitions 5 2 23 12 9 21 2009-2014 Extensions 46 48 75 90 113 90 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 3 2 3 0 2009-2014 Estimated Production 17 19 21 24 30 35

  14. Mississippi Dry Natural Gas Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    252 254 245 276 235 241 2009-2014 Adjustments -1 25 12 40 -20 12 2009-2014 Revision Increases 30 17 14 37 8 14 2009-2014 Revision Decreases 8 9 13 28 15 17 2009-2014 Sales 4 8 0 9 0 1 2009-2014 Acquisitions 0 1 1 10 0 1 2009-2014 Extensions 3 0 0 8 10 19 2009-2014 New Field Discoveries 1 0 1 1 0 2 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 1 2009-2014 Estimated Production 24 24 24 28 24 25

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 3,091 2,334 3,199 3,696 3,506

  15. Montana Dry Natural Gas Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Separation 12 302 270 289 304 325 1979-2014 Adjustments 84 -38 -33 -3 -5 2 1979-2014 Revision Increases 126 40 32 26 51 15 1979-2014 Revision Decreases 65 31 34 20 43 49 1979-2014 Sales 3 29 45 4 4 2 2000-2014 Acquisitions 3 30 45 4 4 1 2000-2014 Extensions 5 41 14 38 37 79 1979-2014 New Field Discoveries 0 0 7 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 1 1 0 0 0 1979-2014 Estimated Production 35 24 19 22 25 25

    37 64 25 11 16 11 2005-2014 Adjustments 0 11 -30 17 10 -3

  16. Nebraska Dry Natural Gas Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Separation 2011 2012 2013 View History Proved Reserves as of Dec. 31 0 0 0 2011-2013 Adjustments -2 0 0 2011-2013 Revision Increases 1 0 0 2011-2013 Revision Decreases 0 0 0 2011-2013 Sales 0 0 0 2011-2013 Acquisitions 0 0 0 2011-2013 Extensions 0 0 0 2011-2013 New Field Discoveries 0 0 0 2011-2013 New Reservoir Discoveries in Old Fields 0 0 0 2011-2013 Estimated Production 0 0 0 2011-2013

    0 14 21 20 18 21 2009-2014 Adjustments 0 4 4 1 -1 0 2009-2014 Revision Increases 1 1 6 1 4 7

  17. North Dakota Dry Natural Gas Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    ,058 1,887 2,658 3,773 5,683 6,045 2009-2014 Adjustments 12 -8 9 33 -44 -68 2009-2014 Revision Increases 211 709 679 744 994 683 2009-2014 Revision Decreases 69 486 560 370 655 869 2009-2014 Sales 4 63 124 236 44 567 2009-2014 Acquisitions 2 226 224 218 353 310 2009-2014 Extensions 396 533 665 941 1,603 1,234 2009-2014 New Field Discoveries 12 29 14 9 4 3 2009-2014 New Reservoir Discoveries in Old Fields 5 3 16 27 13 30 2009-2014 Estimated Production 84 114 152 251 314 394

    Year Jan Feb Mar

  18. Wyoming Dry Natural Gas Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    Separation 362 334 318 706 802 1,280 1979-2014 Adjustments 35 -4 8 103 -68 187 1979-2014 Revision Increases 157 44 60 62 103 58 1979-2014 Revision Decreases 30 81 99 61 173 153 1979-2014 Sales 9 17 17 4 55 25 2000-2014 Acquisitions 19 54 21 17 19 97 2000-2014 Extensions 5 14 45 323 324 434 1979-2014 New Field Discoveries 0 1 0 0 0 0 1979-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 11 0 1979-2014 Estimated Production 38 39 34 52 65 120

    ,328 2,683 2,539 1,736 1,810 1,572 2000-2014

  19. California Dry Natural Gas Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    ,835 2,939 3,009 2,976 2,878 2,874 2009-2014 Adjustments -17 14 32 8 -52 31 2009-2014 Revision Increases 427 276 394 507 239 381 2009-2014 Revision Decreases 119 167 230 391 116 247 2009-2014 Sales 3 1 7 1 322 537 2009-2014 Acquisitions 20 156 40 8 320 543 2009-2014 Extensions 30 24 37 32 17 12 2009-2014 New Field Discoveries 0 0 0 2 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 15 16 2009-2014 Estimated Production 208 198 196 198 199 203

    Year Jan Feb Mar Apr May Jun Jul Aug

  20. Florida Dry Natural Gas Production (Million Cubic Feet)

    Gasoline and Diesel Fuel Update

    9 19 22 24 38 70 2009-2014 Adjustments -1 2 -2 2 -1 -1 2009-2014 Revision Increases 8 10 9 6 13 1 2009-2014 Revision Decreases 0 0 2 3 1 6 2009-2014 Sales 0 0 0 0 0 20 2009-2014 Acquisitions 0 0 0 0 0 62 2009-2014 Extensions 0 0 0 0 5 0 2009-2014 New Field Discoveries 0 0 0 0 0 0 2009-2014 New Reservoir Discoveries in Old Fields 0 0 0 0 0 0 2009-2014 Estimated Production 1 2 2 3 2 4

    Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2006 185 182 219 195 187 143 168 165 173 129 140 170 2007