National Library of Energy BETA

Sample records for methane estimated production

  1. 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 ...

  2. 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 ...

  3. 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 ...

  4. 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 ...

  5. Kentucky Coalbed Methane Production (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    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 2000's 0 0 0 0 0 2010's 0 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: Coalbed Methane Estimated Production Kentucky Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  6. Arkansas Coalbed Methane Production (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) Arkansas Coalbed Methane 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 2000's 2 3 3 3 3 2010's 3 4 2 2 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: Coalbed Methane Estimated Production Arkansas Coalbed Methane Proved Reserves, Reserves Changes, and

  7. Kansas Coalbed Methane Production (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) Kansas Coalbed Methane 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 2000's 17 25 38 47 43 2010's 41 37 34 30 27 - = 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: Coalbed Methane Estimated Production Kansas Coalbed Methane Proved Reserves, Reserves Changes,

  8. Coalbed Methane Production

    U.S. Energy Information Administration (EIA) (indexed site)

    Methane Production (Billion Cubic Feet) Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes 2009 2010 2011 2012 2013 2014 View History U.S. 1,914 1,886 1,763 1,655 1,466 1,404 1989-2014 Alabama 105 102 98 91 62 78 1989-2014 Alaska 0 0 0 0 0 0 2005-2014 Arkansas 3 3 4 2 2 2 2005-2014 California 0 0 0 0 0 0 2005-2014 Colorado 498 533 516 486 444 412 1989-2014 Florida 0 0 0 0 0 0 2005-2014 Kansas 43 41 37 34 30 27

  9. Coalbed Methane Production

    Gasoline and Diesel Fuel Update

    Methane Production (Billion Cubic Feet) Period: Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes 2009 2010 2011 2012 2013 2014 View History U.S. 1,914 1,886 1,763 1,655 1,466 1,404 1989-2014 Alabama 105 102 98 91 62 78 1989-2014 Alaska 0 0 0 0 0 0 2005-2014 Arkansas 3 3 4 2 2 2 2005-2014 California 0 0 0 0 0 0 2005-2014 Colorado 498 533 516 486 444 412 1989-2014 Florida 0 0 0 0 0 0 2005-2014 Kansas 43 41 37 34 30 27

  10. 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...

  11. Coalbed Methane Estimated Production

    U.S. 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

  12. Estimating global and North American methane emissions with high...

    Office of Scientific and Technical Information (OSTI)

    methane emissions with high spatial resolution using GOSAT satellite data Citation Details In-Document Search Title: Estimating global and North American methane emissions ...

  13. Methane Hydrate Production Feasibility | Department of Energy

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

    Production Feasibility Methane Hydrate Production Feasibility The red curves are temperature profiles for various water depths; the blue line shows methane hydrate stability relative to temperature and pressure. The area enclosed by the two curves represents the area of methane hydrate stability. The red curves are temperature profiles for various water depths; the blue line shows methane hydrate stability relative to temperature and pressure. The area enclosed by the two curves represents the

  14. Alaska (with Total Offshore) Coalbed Methane Production (Billion Cubic

    Gasoline and Diesel Fuel Update

    Feet) 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 2000's 0 0 0 0 0 2010's 0 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: Coalbed Methane Estimated Production Alaska Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  15. California (with State off) Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    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 2000's 0 0 0 0 0 2010's 0 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: Coalbed Methane Estimated Production California Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  16. Mississippi (with State off) Coalbed Methane Production (Billion Cubic

    Gasoline and Diesel Fuel Update

    Feet) 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 2000's 0 0 0 0 0 2010's 0 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: Coalbed Methane Estimated Production Mississippi Coalbed Methane Proved Reserves, Reserves Changes, and Production Coalbed Methane Production

  17. Miscellaneous States Coalbed Methane Production (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) Miscellaneous States Coalbed Methane 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 2000's 1 1 1 1 1 2010's 1 1 1 3 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: Coalbed Methane Estimated Production

  18. Enhanced Microbial Pathways for Methane Production from Oil Shale

    SciTech Connect (OSTI)

    Paul Fallgren

    2009-02-15

    Methane from oil shale can potentially provide a significant contribution to natural gas industry, and it may be possible to increase and continue methane production by artificially enhancing methanogenic activity through the addition of various substrate and nutrient treatments. Western Research Institute in conjunction with Pick & Shovel Inc. and the U.S. Department of Energy conducted microcosm and scaled-up reactor studies to investigate the feasibility and optimization of biogenic methane production from oil shale. The microcosm study involving crushed oil shale showed the highest yield of methane was produced from oil shale pretreated with a basic solution and treated with nutrients. Incubation at 30 C, which is the estimated temperature in the subsurface where the oil shale originated, caused and increase in methane production. The methane production eventually decreased when pH of the system was above 9.00. In the scaled-up reactor study, pretreatment of the oil shale with a basic solution, nutrient enhancements, incubation at 30 C, and maintaining pH at circumneutral levels yielded the highest rate of biogenic methane production. From this study, the annual biogenic methane production rate was determined to be as high as 6042 cu. ft/ton oil shale.

  19. Louisiana (with State Offshore) Coalbed Methane Production (Billion Cubic

    Gasoline and Diesel Fuel Update

    Feet) Production (Billion Cubic Feet) Louisiana (with State Offshore) Coalbed Methane 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 2000's 0 0 0 1 1 2010's 0 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: Coalbed Methane Estimated Production Louisiana Coalbed Methane Proved

  20. Utah Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Utah Coalbed Methane 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 2000's 74 83 103...

  1. Montana Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Montana Coalbed Methane 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 2000's 12 12 13...

  2. Virginia Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Virginia Coalbed Methane 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 2000's 56 81...

  3. Pennsylvania Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Pennsylvania Coalbed Methane 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 2000's 3 5...

  4. Wyoming Coalbed Methane Production (Billion Cubic Feet)

    Annual Energy Outlook

    Production (Billion Cubic Feet) Wyoming Coalbed Methane 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 2000's 133 278...

  5. U.S. Coalbed Methane Production (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) U.S. Coalbed Methane Production (Billion Cubic Feet) ... Release Date: 11192015 Next Release Date: 12312016 Referring Pages: Coalbed Methane ...

  6. Ohio Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Coalbed Methane 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 2000's 0 0 0 0 0 2010's 0 - No Data Reported; -- ...

  7. Enhanced Renewable Methane Production System | Argonne National Laboratory

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

    Enhanced Renewable Methane Production System Technology available for licensing: Enhanced renewable methane production system provides a low-cost process that accelerates biological methane production rates at least fivefold. Low cost Delivers near-pipeline-quality gas and eliminates carbon dioxide emissions PDF icon methane_production_system

  8. Methane production by attached film

    DOE Patents [OSTI]

    Jewell, William J.

    1981-01-01

    A method for purifying wastewater of biodegradable organics by converting the organics to methane and carbon dioxide gases is disclosed, characterized by the use of an anaerobic attached film expanded bed reactor for the reaction process. Dilute organic waste material is initially seeded with a heterogeneous anaerobic bacteria population including a methane-producing bacteria. The seeded organic waste material is introduced into the bottom of the expanded bed reactor which includes a particulate support media coated with a polysaccharide film. A low-velocity upward flow of the organic waste material is established through the bed during which the attached bacterial film reacts with the organic material to produce methane and carbon dioxide gases, purified water, and a small amount of residual effluent material. The residual effluent material is filtered by the film as it flows upwardly through the reactor bed. In a preferred embodiment, partially treated effluent material is recycled from the top of the bed to the bottom of the bed for further treatment. The methane and carbon dioxide gases are then separated from the residual effluent material and purified water.

  9. 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 ...

  10. Sources of biogenic methane to form marine gas hydrates: In situ production or upward migration?

    SciTech Connect (OSTI)

    Paull, C.K.; Ussler, W. III; Borowski, W.S.

    1993-09-01

    Potential sources of biogenic methane in the Carolina Continental Rise -- Blake Ridge sediments have been examined. Two models were used to estimate the potential for biogenic methane production: (1) construction of sedimentary organic carbon budgets, and (2) depth extrapolation of modern microbial production rates. While closed-system estimates predict some gas hydrate formation, it is unlikely that >3% of the sediment volume could be filled by hydrate from methane produced in situ. Formation of greater amounts requires migration of methane from the underlying continental rise sediment prism. Methane may be recycled from below the base of the gas hydrate stability zone by gas hydrate decomposition, upward migration of the methane gas, and recrystallization of gas hydrate within the overlying stability zone. Methane bubbles may also form in the sediment column below the depth of gas hydrate stability because the methane saturation concentration of the pore fluids decreases with increasing depth. Upward migration of methane bubbles from these deeper sediments can add methane to the hydrate stability zone. From these models it appears that recycling and upward migration of methane is essential in forming significant gas hydrate concentrations. In addition, the depth distribution profiles of methane hydrate will differ if the majority of the methane has migrated upward rather than having been produced in situ.

  11. Alabama Coalbed Methane Production (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) Alabama Coalbed Methane 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 23 1990's 36 68 89 103 108 109 98 111 123 108 2000's 109 111 117 98 121 113 114 114 107 105 2010's 102 98 91 62 78 - = 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: Coalbed Methane

  12. METHANE HYDRATE PRODUCTION FROM ALASKAN PERMAFROST

    SciTech Connect (OSTI)

    Thomas E. Williams; Keith Millheim; Buddy King

    2004-06-01

    Natural-gas hydrates have been encountered beneath the permafrost and considered a nuisance by the oil and gas industry for years. Engineers working in Russia, Canada and the USA have documented numerous drilling problems, including kicks and uncontrolled gas releases, in arctic regions. Information has been generated in laboratory studies pertaining to the extent, volume, chemistry and phase behavior of gas hydrates. Scientists studying hydrate potential agree that the potential is great--on the North Slope of Alaska alone, it has been estimated at 590 TCF. However, little information has been obtained on physical samples taken from actual rock containing hydrates. This gas-hydrate project is in the final stages of a cost shared partnership between Maurer Technology, Noble Corporation, Anadarko Petroleum, and the U.S. Department of Energy's Methane Hydrate R&D program. The purpose of the project is to build on previous and ongoing R&D in the area of onshore hydrate deposition to identify, quantify and predict production potential for hydrates located on the North Slope of Alaska. The work scope drilled and cored a well The HOT ICE No.1 on Anadarko leases beginning in FY 2003 and completed in 2004. An on-site core analysis laboratory was built and utilized for determining the physical characteristics of the hydrates and surrounding rock. The well was drilled from a new Anadarko Arctic Platform that has a minimal footprint and environmental impact. The final efforts of the project are to correlate geology, geophysics, logs, and drilling and production data and provide this information to scientists developing reservoir models. No gas hydrates were encountered in this well; however, a wealth of information was generated and is contained in this report.

  13. METHANE HYDRATE PRODUCTION FROM ALASKAN PERMAFROST

    SciTech Connect (OSTI)

    Thomas E. Williams; Keith Millheim; Bill Liddell

    2005-03-01

    Natural-gas hydrates have been encountered beneath the permafrost and considered a nuisance by the oil and gas industry for years. Oil-field engineers working in Russia, Canada and the USA have documented numerous drilling problems, including kicks and uncontrolled gas releases, in Arctic regions. Information has been generated in laboratory studies pertaining to the extent, volume, chemistry and phase behavior of gas hydrates. Scientists studying hydrates agree that the potential is great--on the North Slope of Alaska alone, it has been estimated at 590 TCF. However, little information has been obtained on physical samples taken from actual rock containing hydrates. This gas-hydrate project is a cost-shared partnership between Maurer Technology, Anadarko Petroleum, Noble Corporation, and the U.S. Department of Energy's Methane Hydrate R&D program. The purpose of the project is to build on previous and ongoing R&D in the area of onshore hydrate deposition to help identify, quantify and predict production potential for hydrates located on the North Slope of Alaska. As part of the project work scope, team members drilled and cored the HOT ICE No. 1 on Anadarko leases beginning in January 2003 and completed in March 2004. Due to scheduling constraints imposed by the Arctic drilling season, operations at the site were suspended between April 21, 2003 and January 30, 2004. An on-site core analysis laboratory was designed, constructed and used for determining physical characteristics of frozen core immediately after it was retrieved from the well. The well was drilled from a new and innovative Anadarko Arctic Platform that has a greatly reduced footprint and environmental impact. Final efforts of the project were to correlate geology, geophysics, logs, and drilling and production data and provide this information to scientists for future hydrate operations. Unfortunately, no gas hydrates were encountered in this well; however, a wealth of information was generated and is

  14. State Energy Production Estimates

    U.S. 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...

  15. Table 15. Coalbed methane proved reserves and production, 2010...

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed methane proved reserves and production, 2010-14" "billion cubic feet" ,,"Reserves",,,,,,"Production" "State and Subdivision",,2010,2011,2012,2013,2014,,2010,2011,2012,2013,...

  16. Colorado Coalbed Methane Production (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) Colorado Coalbed Methane 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 12 1990's 26 48 82 125 179 226 274 312 401 432 2000's 451 490 520 488 520 515 477 519 497 498 2010's 533 516 486 444 412 - = 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: Coalbed

  17. METHANE HYDRATE PRODUCTION FROM ALASKAN PERMAFROST

    SciTech Connect (OSTI)

    Richard Sigal; Kent Newsham; Thomas Williams; Barry Freifeld; Timothy Kneafsey; Carl Sondergeld; Shandra Rai; Jonathan Kwan; Stephen Kirby; Robert Kleinberg; Doug Griffin

    2005-02-01

    Natural-gas hydrates have been encountered beneath the permafrost and considered a nuisance by the oil and gas industry for years. Engineers working in Russia, Canada and the USA have documented numerous drilling problems, including kicks and uncontrolled gas releases, in arctic regions. Information has been generated in laboratory studies pertaining to the extent, volume, chemistry and phase behavior of gas hydrates. Scientists studying hydrate potential agree that the potential is great--on the North Slope of Alaska alone, it has been estimated at 590 TCF. However, little information has been obtained on physical samples taken from actual rock containing hydrates. The work scope drilled and cored a well The Hot Ice No. 1 on Anadarko leases beginning in FY 2003 and completed in 2004. An on-site core analysis laboratory was built and utilized for determining the physical characteristics of the hydrates and surrounding rock. The well was drilled from a new Anadarko Arctic Platform that has a minimal footprint and environmental impact. The final efforts of the project are to correlate geology, geophysics, logs, and drilling and production data and provide this information to scientists developing reservoir models. No gas hydrates were encountered in this well; however, a wealth of information was generated and is contained in this report. The Hot Ice No. 1 well was drilled from the surface to a measured depth of 2300 ft. There was almost 100% core recovery from the bottom of surface casing at 107 ft to total depth. Based on the best estimate of the bottom of the methane hydrate stability zone (which used new data obtained from Hot Ice No. 1 and new analysis of data from adjacent wells), core was recovered over its complete range. Approximately 580 ft of porous, mostly frozen, sandstone and 155 of conglomerate were recovered in the Ugnu Formation and approximately 215 ft of porous sandstone were recovered in the West Sak Formation. There were gas shows in the bottom

  18. METHANE HYDRATE PRODUCTION FROM ALASKAN PERMAFROST

    SciTech Connect (OSTI)

    Thomas E. Williams; Keith Millheim; Bill Liddell

    2004-11-01

    Natural-gas hydrates have been encountered beneath the permafrost and considered a nuisance by the oil and gas industry for years. Engineers working in Russia, Canada and the USA have documented numerous drilling problems, including kicks and uncontrolled gas releases, in arctic regions. Information has been generated in laboratory studies pertaining to the extent, volume, chemistry and phase behavior of gas hydrates. Scientists studying hydrate potential agree that the potential is great--on the North Slope of Alaska alone, it has been estimated at 590 TCF. However, little information has been obtained on physical samples taken from actual rock containing hydrates. This gas-hydrate project is a cost-shared partnership between Maurer Technology, Anadarko Petroleum, Noble Corporation, and the U.S. Department of Energy's Methane Hydrate R&D program. The purpose of the project is to build on previous and ongoing R&D in the area of onshore hydrate deposition to help identify, quantify and predict production potential for hydrates located on the North Slope of Alaska. As part of the project work scope, team members drilled and cored a well (the Hot Ice No. 1) on Anadarko leases beginning in January 2003 and completed in March 2004. Due to scheduling constraints imposed by the Arctic drilling season, operations at the site were suspended between April 21, 2003 and January 30, 2004. An on-site core analysis laboratory was constructed and used for determining physical characteristics of frozen core immediately after it was retrieved from the well. The well was drilled from a new and innovative Anadarko Arctic Platform that has a greatly reduced footprint and environmental impact. Final efforts of the project were to correlate geology, geophysics, logs, and drilling and production data and provide this information to scientists for future hydrate operations. No gas hydrates were encountered in this well; however, a wealth of information was generated and is contained in the

  19. METHANE HYDRATE PRODUCTION FROM ALASKAN PERMAFROST

    SciTech Connect (OSTI)

    Steve Runyon; Mike Globe; Kent Newsham; Robert Kleinberg; Doug Griffin

    2005-02-01

    Natural-gas hydrates have been encountered beneath the permafrost and considered a nuisance by the oil and gas industry for years. Engineers working in Russia, Canada and the USA have documented numerous drilling problems, including kicks and uncontrolled gas releases, in arctic regions. Information has been generated in laboratory studies pertaining to the extent, volume, chemistry and phase behavior of gas hydrates. Scientists studying hydrate potential agree that the potential is great--on the North Slope of Alaska alone, it has been estimated at 590 TCF. However, little information has been obtained on physical samples taken from actual rock containing hydrates. This gas-hydrate project was a cost-shared partnership between Maurer Technology, Noble Corporation, Anadarko Petroleum, and the U.S. Department of Energy's Methane Hydrate R&D program. The purpose of the project is to build on previous and ongoing R&D in the area of onshore hydrate deposition to identify, quantify and predict production potential for hydrates located on the North Slope of Alaska. The work scope included drilling and coring a well (Hot Ice No. 1) on Anadarko leases beginning in FY 2003 and completed in 2004. During the first drilling season, operations were conducted at the site between January 28, 2003 to April 30, 2003. The well was spudded and drilled to a depth of 1403 ft. Due to the onset of warmer weather, work was then suspended for the season. Operations at the site were continued after the tundra was re-opened the following season. Between January 12, 2004 and March 19, 2004, the well was drilled and cored to a final depth of 2300 ft. An on-site core analysis laboratory was built and utilized for determining the physical characteristics of the hydrates and surrounding rock. The well was drilled from a new Anadarko Arctic Platform that has a minimal footprint and environmental impact. The final efforts of the project are to correlate geology, geophysics, logs, and drilling and

  20. METHANE HYDRATE PRODUCTION FROM ALASKAN PERMAFROST

    SciTech Connect (OSTI)

    Ali Kadaster; Bill Liddell; Tommy Thompson; Thomas Williams; Michael Niedermayr

    2005-02-01

    Natural-gas hydrates have been encountered beneath the permafrost and considered a nuisance by the oil and gas industry for years. Engineers working in Russia, Canada and the USA have documented numerous drilling problems, including kicks and uncontrolled gas releases, in arctic regions. Information has been generated in laboratory studies pertaining to the extent, volume, chemistry and phase behavior of gas hydrates. Scientists studying hydrate potential agree that the potential is great--on the North Slope of Alaska alone, it has been estimated at 590 TCF. However, little information has been obtained on physical samples taken from actual rock containing hydrates. This gas-hydrate project was a cost-shared partnership between Maurer Technology, Noble Corporation, Anadarko Petroleum, and the U.S. Department of Energy's Methane Hydrate R&D program. The purpose of the project is to build on previous and ongoing R&D in the area of onshore hydrate deposition to identify, quantify and predict production potential for hydrates located on the North Slope of Alaska. The work scope included drilling and coring a well (Hot Ice No. 1) on Anadarko leases beginning in FY 2003 and completed in 2004. During the first drilling season, operations were conducted at the site between January 28, 2003 to April 30, 2003. The well was spudded and drilled to a depth of 1403 ft. Due to the onset of warmer weather, work was then suspended for the season. Operations at the site were continued after the tundra was re-opened the following season. Between January 12, 2004 and March 19, 2004, the well was drilled and cored to a final depth of 2300 ft. An on-site core analysis laboratory was built and implemented for determining physical characteristics of the hydrates and surrounding rock. The well was drilled from a new Anadarko Arctic Platform that has a minimal footprint and environmental impact. Final efforts of the project are to correlate geology, geophysics, logs, and drilling and

  1. Enhanced Renewable Methane Production System Benefits Wastewater Treatment

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

    Plants, Farms, and Landfills - Energy Innovation Portal Biomass and Biofuels Biomass and Biofuels Find More Like This Return to Search Enhanced Renewable Methane Production System Benefits Wastewater Treatment Plants, Farms, and Landfills Argonne National Laboratory Contact ANL About This Technology <p> Argonne&rsquo;s Enhanced Renewable Methane Production System &mdash; Process Schematic.</p> Argonne's Enhanced Renewable Methane Production System - Process Schematic.

  2. Western States Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Western States Coalbed Methane Production (Billion Cubic Feet) Western States Coalbed Methane 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 2000's 4 14 33 51 77 89 108 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: Coalbed Methane Production

  3. METHANE HYDRATE PRODUCTION FROM ALASKAN PERMAFROST

    SciTech Connect (OSTI)

    Donn McGuire; Steve Runyon; Richard Sigal; Bill Liddell; Thomas Williams; George Moridis

    2005-02-01

    Natural-gas hydrates have been encountered beneath the permafrost and considered a nuisance by the oil and gas industry for years. Engineers working in Russia, Canada and the USA have documented numerous drilling problems, including kicks and uncontrolled gas releases, in arctic regions. Information has been generated in laboratory studies pertaining to the extent, volume, chemistry and phase behavior of gas hydrates. Scientists studying hydrate potential agree that the potential is great--on the North Slope of Alaska alone, it has been estimated at 590 TCF. However, little information has been obtained on physical samples taken from actual rock containing hydrates. This gas-hydrate project is in the final stages of a cost-shared partnership between Maurer Technology, Noble Corporation, Anadarko Petroleum, and the U.S. Department of Energy's Methane Hydrate R&D program. The purpose of the project is to build on previous and ongoing R&D in the area of onshore hydrate deposition to identify, quantify and predict production potential for hydrates located on the North Slope of Alaska. Hot Ice No. 1 was planned to test the Ugnu and West Sak sequences for gas hydrates and a concomitant free gas accumulation on Anadarko's 100% working interest acreage in section 30 of Township 9N, Range 8E of the Harrison Bay quadrangle of the North Slope of Alaska. The Ugnu and West Sak intervals are favorably positioned in the hydrate-stability zone over an area extending from Anadarko's acreage westward to the vicinity of the aforementioned gas-hydrate occurrences. This suggests that a large, north-to-south trending gas-hydrate accumulation may exist in that area. The presence of gas shows in the Ugnu and West Sak reservoirs in wells situated eastward and down dip of the Hot Ice location indicate that a free-gas accumulation may be trapped by gas hydrates. The Hot Ice No. 1 well was designed to core from the surface to the base of the West Sak interval using the revolutionary and new

  4. Lower 48 States Coalbed Methane Production (Billion Cubic Feet...

    Annual Energy Outlook

    Production (Billion Cubic Feet) Lower 48 States Coalbed Methane 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 2000's...

  5. West Virginia Coalbed Methane Production (Billion Cubic Feet...

    Annual Energy Outlook

    Production (Billion Cubic Feet) West Virginia Coalbed Methane 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 2000's 30...

  6. Louisiana--North Coalbed Methane Production (Billion Cubic Feet...

    Annual Energy Outlook

    Production (Billion Cubic Feet) Louisiana--North Coalbed Methane 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 2000's...

  7. Texas--RRC District 10 Coalbed Methane Production (Billion Cubic...

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Texas--RRC District 10 Coalbed Methane 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 ...

  8. Texas--RRC District 2 Onshore Coalbed Methane Production (Billion...

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Texas--RRC District 2 Onshore Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 ...

  9. Texas--RRC District 3 Onshore Coalbed Methane Production (Billion...

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Texas--RRC District 3 Onshore Coalbed Methane Production (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 ...

  10. New Mexico--West Coalbed Methane Production (Billion Cubic Feet...

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) New Mexico--West Coalbed Methane 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 2000's ...

  11. New Mexico--East Coalbed Methane Production (Billion Cubic Feet...

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) New Mexico--East Coalbed Methane 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 2000's ...

  12. Enhancement of Biogenic Coalbed Methane Production and Back Injection of Coalbed Methane Co-Produced Water

    SciTech Connect (OSTI)

    Song Jin

    2007-05-31

    Biogenic methane is a common constituent in deep subsurface environments such as coalbeds and oil shale beds. Coalbed methane (CBM) makes significant contributions to world natural gas industry and CBM production continues to increase. With increasing CBM production, the production of CBM co-produced water increases, which is an environmental concern. This study investigated the feasibility in re-using CBM co-produced water and other high sodic/saline water to enhance biogenic methane production from coal and other unconventional sources, such as oil shale. Microcosms were established with the selected carbon sources which included coal, oil shale, lignite, peat, and diesel-contaminated soil. Each microcosm contained either CBM coproduced water or groundwater with various enhancement and inhibitor combinations. Results indicated that the addition of nutrients and nutrients with additional carbon can enhance biogenic methane production from coal and oil shale. Methane production from oil shale was much greater than that from coal, which is possibly due to the greater amount of available Dissolved Organic Carbon (DOC) from oil shale. Inconclusive results were observed from the other sources since the incubation period was too low. WRI is continuing studies with biogenic methane production from oil shale.

  13. Methane production from grape skins. Final technical report

    SciTech Connect (OSTI)

    Yunghans, W.N.

    1981-10-09

    Methane production from grape pomace was measured for a 50-day digestion period. Gas production was calculated to be 2400 ft/sup 3//10 d/ton at 53% methane content. Microorganisms particularly a fungus which grows on grape pomace and lignin was isolated. Lignin content of pomace was measured at approximately 60%. Lignin is slowly digested and may represent a residue which requires long term digestion. Research is continuing on isolation of anaerobic methane bacteria and codigestion of pomace with enzymes as cellulase and pectinase. The sewage sludge functioned adequately as a mixed source of organisms capable of digesting grape pomace. A sediment from stored grape juice produced significant amounts of methane and represents a nutrient substrate for additional studies on continuous flow methane production. 3 figs.

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

    SciTech Connect (OSTI)

    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

  15. Detection and Production of Methane Hydrate

    SciTech Connect (OSTI)

    George Hirasaki; Walter Chapman; Gerald Dickens; Colin Zelt; Brandon Dugan; Kishore Mohanty; Priyank Jaiswal

    2011-12-31

    This project seeks to understand regional differences in gas hydrate systems from the perspective of as an energy resource, geohazard, and long-term climate influence. Specifically, the effort will: (1) collect data and conceptual models that targets causes of gas hydrate variance, (2) construct numerical models that explain and predict regional-scale gas hydrate differences in 2-dimensions with minimal 'free parameters', (3) simulate hydrocarbon production from various gas hydrate systems to establish promising resource characteristics, (4) perturb different gas hydrate systems to assess potential impacts of hot fluids on seafloor stability and well stability, and (5) develop geophysical approaches that enable remote quantification of gas hydrate heterogeneities so that they can be characterized with minimal costly drilling. Our integrated program takes advantage of the fact that we have a close working team comprised of experts in distinct disciplines. The expected outcomes of this project are improved exploration and production technology for production of natural gas from methane hydrates and improved safety through understanding of seafloor and well bore stability in the presence of hydrates. The scope of this project was to more fully characterize, understand, and appreciate fundamental differences in the amount and distribution of gas hydrate and how this would affect the production potential of a hydrate accumulation in the marine environment. The effort combines existing information from locations in the ocean that are dominated by low permeability sediments with small amounts of high permeability sediments, one permafrost location where extensive hydrates exist in reservoir quality rocks and other locations deemed by mutual agreement of DOE and Rice to be appropriate. The initial ocean locations were Blake Ridge, Hydrate Ridge, Peru Margin and GOM. The permafrost location was Mallik. Although the ultimate goal of the project was to understand processes

  16. Atmospheric Inverse Estimates of Methane Emissions from Central California

    SciTech Connect (OSTI)

    Zhao, Chuanfeng; Andrews, Arlyn E.; Bianco, Laura; Eluszkiewicz, Janusz; Hirsch, Adam; MacDonald, Clinton; Nehrkorn, Thomas; Fischer, Marc L.

    2008-11-21

    Methane mixing ratios measured at a tall-tower are compared to model predictions to estimate surface emissions of CH{sub 4} in Central California for October-December 2007 using an inverse technique. Predicted CH{sub 4} mixing ratios are calculated based on spatially resolved a priori CH{sub 4} emissions and simulated atmospheric trajectories. The atmospheric trajectories, along with surface footprints, are computed using the Weather Research and Forecast (WRF) coupled to the Stochastic Time-Inverted Lagrangian Transport (STILT) model. An uncertainty analysis is performed to provide quantitative uncertainties in estimated CH{sub 4} emissions. Three inverse model estimates of CH{sub 4} emissions are reported. First, linear regressions of modeled and measured CH{sub 4} mixing ratios obtain slopes of 0.73 {+-} 0.11 and 1.09 {+-} 0.14 using California specific and Edgar 3.2 emission maps respectively, suggesting that actual CH{sub 4} emissions were about 37 {+-} 21% higher than California specific inventory estimates. Second, a Bayesian 'source' analysis suggests that livestock emissions are 63 {+-} 22% higher than the a priori estimates. Third, a Bayesian 'region' analysis is carried out for CH{sub 4} emissions from 13 sub-regions, which shows that inventory CH{sub 4} emissions from the Central Valley are underestimated and uncertainties in CH{sub 4} emissions are reduced for sub-regions near the tower site, yielding best estimates of flux from those regions consistent with 'source' analysis results. The uncertainty reductions for regions near the tower indicate that a regional network of measurements will be necessary to provide accurate estimates of surface CH{sub 4} emissions for multiple regions.

  17. NREL Research Helps Convert Overabundant Methane into Useful Products |

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

    Bioenergy | NREL Research Helps Convert Overabundant Methane into Useful Products March 18, 2016 Photo of a fermentation vessel cultivating our bacteria to produce lactic acid. Using fermentation vessels such as the one pictured here, NREL researchers have discovered how to cultivate genetically engineered methanotrophic bacteria to produce lactic acid, a high-value precursor to bioplastics. Photo by Holly Smith, NREL Methane is Earth's second most abundant greenhouse gas (GHG) after carbon

  18. NREL Research Helps Convert Overabundant Methane into Useful Products -

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

    News Releases | NREL Research Helps Convert Overabundant Methane into Useful Products March 18, 2016 Photo of a fermentation vessel cultivating our bacteria to produce lactic acid. Using fermentation vessels such as the one pictured here, NREL researchers have discovered how to cultivate genetically engineered methanotrophic bacteria to produce lactic acid, a high-value precursor to bioplastics. Photo by Holly Smith, NREL Methane is Earth's second most abundant greenhouse gas (GHG) after

  19. METHANE HYDRATE PRODUCTION FROM ALASKAN PERMAFROST

    SciTech Connect (OSTI)

    Thomas E. Williams; Keith Millheim; Buddy King

    2004-03-01

    Natural-gas hydrates have been encountered beneath the permafrost and considered a nuisance by the oil and gas industry for years. Engineers working in Russia, Canada and the USA have documented numerous drilling problems, including kicks and uncontrolled gas releases, in arctic regions. Information has been generated in laboratory studies pertaining to the extent, volume, chemistry and phase behavior of gas hydrates. Scientists studying hydrate potential agree that the potential is great--on the North Slope of Alaska alone, it has been estimated at 590 TCF. However, little information has been obtained on physical samples taken from actual rock containing hydrates. This gas-hydrate project is in the second year of a three-year endeavor being sponsored by Maurer Technology, Noble, and Anadarko Petroleum, in partnership with the DOE. The purpose of the project is to build on previous and ongoing R&D in the area of onshore hydrate deposition. We plan to identify, quantify and predict production potential for hydrates located on the North Slope of Alaska. We also plan to design and implement a program to safely and economically drill, core and produce gas from arctic hydrates. The current work scope is to drill and core a well on Anadarko leases in FY 2003 and 2004. We are also using an on-site core analysis laboratory to determine some of the physical characteristics of the hydrates and surrounding rock. The well is being drilled from a new Anadarko Arctic Platform that will have minimal footprint and environmental impact. We hope to correlate geology, geophysics, logs, and drilling and production data to allow reservoir models to be calibrated. Ultimately, our goal is to form an objective technical and economic evaluation of reservoir potential in Alaska.

  20. Utilization of coal mine methane for methanol and SCP production. Topical report, May 5, 1995--March 4, 1996

    SciTech Connect (OSTI)

    1998-12-31

    The feasibility of utilizing a biological process to reduce methane emissions from coal mines and to produce valuable single cell protein (SCP) and/or methanol as a product has been demonstrated. The quantities of coal mine methane from vent gas, gob wells, premining wells and abandoned mines have been determined in order to define the potential for utilizing mine gases as a resource. It is estimated that 300 MMCFD of methane is produced in the United States at a typical concentration of 0.2-0.6 percent in ventilation air. Of this total, almost 20 percent is produced from the four Jim Walter Resources (JWR) mines, which are located in very gassy coal seams. Worldwide vent gas production is estimated at 1 BCFD. Gob gas methane production in the U.S. is estimated to be 38 MMCFD. Very little gob gas is produced outside the U.S. In addition, it is estimated that abandoned mines may generate as much as 90 MMCFD of methane. In order to make a significant impact on coal mine methane emissions, technology which is able to utilize dilute vent gases as a resource must be developed. Purification of the methane from the vent gases would be very expensive and impractical. Therefore, the process application must be able to use a dilute methane stream. Biological conversion of this dilute methane (as well as the more concentrated gob gases) to produce single cell protein (SCP) and/or methanol has been demonstrated in the Bioengineering Resources, Inc. (BRI) laboratories. SCP is used as an animal feed supplement, which commands a high price, about $0.11 per pound.

  1. Top-down methane emissions estimates for the San Francisco Bay Area from 1990 to 2012

    SciTech Connect (OSTI)

    Fairley, David; Fischer, Marc L.

    2015-01-30

    Methane is a potent greenhouse gas (GHG) that is now included in both California State and San Francisco Bay Area (SFBA) bottom-up emission inventories as part of California's effort to reduce anthropogenic GHG emissions. Here we provide a top-down estimate of methane (CH4) emissions from the SFBA by combining atmospheric measurements with the comparatively better estimated emission inventory for carbon monoxide (CO). Local enhancements of CH4 and CO are estimated using measurements from 14 air quality sites in the SFBA combined together with global background measurements. Mean annual CH4 emissions are estimated from the product of Bay Area Air Quality Management District (BAAQMD) emission inventory CO and the slope of ambient local CH4 to CO. The resulting top-down estimates of CH4 emissions are found to decrease slightly from 1990 to 2012, with a mean value of 240 ± 60 GgCH4 yr⁻¹ (at 95% confidence) in the most recent (2009–2012) period, and correspond to reasonably a constant factor of 1.5–2.0 (at 95% confidence) times larger than the BAAQMD CH4 emission inventory. However, we note that uncertainty in these emission estimates is dominated by the variation in CH4:CO enhancement ratios across the observing sites and we expect the estimates could represent a lower-limit on CH4 emissions because BAAQMD monitoring sites focus on urban air quality and may be biased toward CO rather than CH4 sources.

  2. Top-down methane emissions estimates for the San Francisco Bay Area from 1990 to 2012

    DOE PAGES-Beta [OSTI]

    Fairley, David; Fischer, Marc L.

    2015-01-30

    Methane is a potent greenhouse gas (GHG) that is now included in both California State and San Francisco Bay Area (SFBA) bottom-up emission inventories as part of California's effort to reduce anthropogenic GHG emissions. Here we provide a top-down estimate of methane (CH4) emissions from the SFBA by combining atmospheric measurements with the comparatively better estimated emission inventory for carbon monoxide (CO). Local enhancements of CH4 and CO are estimated using measurements from 14 air quality sites in the SFBA combined together with global background measurements. Mean annual CH4 emissions are estimated from the product of Bay Area Air Qualitymore » Management District (BAAQMD) emission inventory CO and the slope of ambient local CH4 to CO. The resulting top-down estimates of CH4 emissions are found to decrease slightly from 1990 to 2012, with a mean value of 240 ± 60 GgCH4 yr⁻¹ (at 95% confidence) in the most recent (2009–2012) period, and correspond to reasonably a constant factor of 1.5–2.0 (at 95% confidence) times larger than the BAAQMD CH4 emission inventory. However, we note that uncertainty in these emission estimates is dominated by the variation in CH4:CO enhancement ratios across the observing sites and we expect the estimates could represent a lower-limit on CH4 emissions because BAAQMD monitoring sites focus on urban air quality and may be biased toward CO rather than CH4 sources.« less

  3. Texas--RRC District 4 Onshore Coalbed Methane Production (Billion...

    Annual Energy Outlook

    4 Onshore Coalbed Methane 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 2000's 0 0 0 0 0 2010's 0 0 0 0 0 - No Data...

  4. Weekly Coal Production Estimation Methodology

    U.S. 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 ̂ () =

  5. Estimating U.S. Methane Emissions from the Natural Gas Supply Chain. Approaches, Uncertainties, Current Estimates, and Future Studies

    SciTech Connect (OSTI)

    Heath, Garvin; Warner, Ethan; Steinberg, Daniel; Brandt, Adam

    2015-08-01

    A growing number of studies have raised questions regarding uncertainties in our understanding of methane (CH4) emissions from fugitives and venting along the natural gas (NG) supply chain. In particular, a number of measurement studies have suggested that actual levels of CH4 emissions may be higher than estimated by EPA" tm s U.S. GHG Emission Inventory. We reviewed the literature to identify the growing number of studies that have raised questions regarding uncertainties in our understanding of methane (CH4) emissions from fugitives and venting along the natural gas (NG) supply chain.

  6. Rapid Production of Methane Hydrates | netl.doe.gov

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

    ... The high velocities of both the water and gas feeds within the small mixing zone ... methane content), cold energy storage, transportation fuels, and desalination processes. ...

  7. Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data

    DOE PAGES-Beta [OSTI]

    Turner, A. J.; Jacob, D. J.; Wecht, K. J.; Maasakkers, J. D.; Biraud, S. C.; Boesch, H.; Bowman, K. W.; Deutscher, N. M.; Dubey, M. K.; Griffith, D. W. T.; et al

    2015-02-18

    We use 2009–2011 space-borne methane observations from the Greenhouse Gases Observing SATellite (GOSAT) to constrain global and North American inversions of methane emissions with 4° × 5° and up to 50 km × 50 km spatial resolution, respectively. The GOSAT data are first evaluated with atmospheric methane observations from surface networks (NOAA, TCCON) and aircraft (NOAA/DOE, HIPPO), using the GEOS-Chem chemical transport model as a platform to facilitate comparison of GOSAT with in situ data. This identifies a high-latitude bias between the GOSAT data and GEOS-Chem that we correct via quadratic regression. The surface and aircraft data are subsequently usedmore » for independent evaluation of the methane source inversions. Our global adjoint-based inversion yields a total methane source of 539 Tg a−1 and points to a large East Asian overestimate in the EDGARv4.2 inventory used as a prior. Results serve as dynamic boundary conditions for an analytical inversion of North American methane emissions using radial basis functions to achieve high resolution of large sources and provide full error characterization. We infer a US anthropogenic methane source of 40.2–42.7 Tg a−1, as compared to 24.9–27.0 Tg a−1 in the EDGAR and EPA bottom-up inventories, and 30.0–44.5 Tg a−1 in recent inverse studies. Our estimate is supported by independent surface and aircraft data and by previous inverse studies for California. We find that the emissions are highest in the South-Central US, the Central Valley of California, and Florida wetlands, large isolated point sources such as the US Four Corners also contribute. We attribute 29–44% of US anthropogenic methane emissions to livestock, 22–31% to oil/gas, 20% to landfills/waste water, and 11–15% to coal with an additional 9.0–10.1 Tg a−1 source from wetlands.« less

  8. Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data

    DOE PAGES-Beta [OSTI]

    Turner, A. J.; Jacob, D. J.; Wecht, K. J.; Maasakkers, J. D.; Lundgren, E.; Andrews, A. E.; Biraud, S. C.; Boesch, H.; Bowman, K. W.; Deutscher, N. M.; et al

    2015-06-30

    We use 2009–2011 space-borne methane observations from the Greenhouse Gases Observing SATellite (GOSAT) to estimate global and North American methane emissions with 4° × 5° and up to 50 km × 50 km spatial resolution, respectively. GEOS-Chem and GOSAT data are first evaluated with atmospheric methane observations from surface and tower networks (NOAA/ESRL, TCCON) and aircraft (NOAA/ESRL, HIPPO), using the GEOS-Chem chemical transport model as a platform to facilitate comparison of GOSAT with in situ data. This identifies a high-latitude bias between the GOSAT data and GEOS-Chem that we correct via quadratic regression. Our global adjoint-based inversion yields a totalmore » methane source of 539 Tg a−1 with some important regional corrections to the EDGARv4.2 inventory used as a prior. Results serve as dynamic boundary conditions for an analytical inversion of North American methane emissions using radial basis functions to achieve high resolution of large sources and provide error characterization. We infer a US anthropogenic methane source of 40.2–42.7 Tg a−1, as compared to 24.9–27.0 Tg a−1 in the EDGAR and EPA bottom-up inventories, and 30.0–44.5 Tg a−1 in recent inverse studies. Our estimate is supported by independent surface and aircraft data and by previous inverse studies for California. We find that the emissions are highest in the southern–central US, the Central Valley of California, and Florida wetlands; large isolated point sources such as the US Four Corners also contribute. Using prior information on source locations, we attribute 29–44 % of US anthropogenic methane emissions to livestock, 22–31 % to oil/gas, 20 % to landfills/wastewater, and 11–15 % to coal. Wetlands contribute an additional 9.0–10.1 Tg a−1.« less

  9. 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.

  10. Louisiana--South Onshore Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Shale Production (Billion Cubic Feet) Louisiana--North Shale 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 2000's 1 23 293 2010's 1,232 2,084 2,204 1,509 1,169 - = 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: Shale Natural Gas Estimated Production North Louisiana Shale Gas Proved Reserves,

  11. Louisiana--State Offshore Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Shale Production (Billion Cubic Feet) Louisiana--South Onshore Shale 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 2010's 0 0 1 22 - = 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: Shale Natural Gas Estimated Production LA, South Onshore Shale Gas Proved Reserves, Reserves Changes, and

  12. Texas--State Offshore Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Shale Production (Billion Cubic Feet) Texas--RRC District 9 Shale 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 2000's 460 586 643 2010's 725 612 626 619 639 - = 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: Shale Natural Gas Estimated Production TX, RRC District 9 Shale Gas Proved

  13. Microbial diversity and dynamics during methane production from municipal solid waste

    SciTech Connect (OSTI)

    Bareither, Christopher A.; Wolfe, Georgia L.; McMahon, Katherine D.; Benson, Craig H.

    2013-10-15

    Highlights: ► Similar bacterial communities developed following different start-up operation. ► Total methanogens in leachate during the decelerated methane phase reflected overall methane yield. ► Created correlations between methanogens, methane yield, and available substrate. ► Predominant bacteria identified with syntrophic polysaccharide degraders. ► Hydrogenotrophic methanogens were dominant in the methane generation process. - Abstract: The objectives of this study were to characterize development of bacterial and archaeal populations during biodegradation of municipal solid waste (MSW) and to link specific methanogens to methane generation. Experiments were conducted in three 0.61-m-diameter by 0.90-m-tall laboratory reactors to simulate MSW bioreactor landfills. Pyrosequencing of 16S rRNA genes was used to characterize microbial communities in both leachate and solid waste. Microbial assemblages in effluent leachate were similar between reactors during peak methane generation. Specific groups within the Bacteroidetes and Thermatogae phyla were present in all samples and were particularly abundant during peak methane generation. Microbial communities were not similar in leachate and solid fractions assayed at the end of reactor operation; solid waste contained a more abundant bacterial community of cellulose-degrading organisms (e.g., Firmicutes). Specific methanogen populations were assessed using quantitative polymerase chain reaction. Methanomicrobiales, Methanosarcinaceae, and Methanobacteriales were the predominant methanogens in all reactors, with Methanomicrobiales consistently the most abundant. Methanogen growth phases coincided with accelerated methane production, and cumulative methane yield increased with increasing total methanogen abundance. The difference in methanogen populations and corresponding methane yield is attributed to different initial cellulose and hemicellulose contents of the MSW. Higher initial cellulose and

  14. Production of methane by anaerobic fermentation of waste materials

    SciTech Connect (OSTI)

    Hitzman, D.O.

    1989-01-17

    This patent describes an apparatus for producing methane by anaerobic fermentation of waste material, comprising: cavity means in the earth for holding a quantity of the waste material; means for covering a quantity of the waste material in the cavity means and thereby separating the quantity of the waste material from the atmosphere; first conduit means communicating between the waste material in the cavity means and a location remote from the cavity means for conveying gas comprising carbon dioxide and methane from the cavity means to the location; gas separation means communicating with the first conduit means at the location for separating carbon dioxide from methane, the first conduit means including at least one pipe having a plurality of apertures therein and disposed in the cavity means extending into and in fluid flow communication with the waste material for receiving gas liberated by the anaerobic fermentation of the waste material and comprising carbon dioxide and methane, through the apertures therein for conveyance via the first conduit means to the gas separation means; second conduit means communicating between the gas separation means and the waste material in the cavity means for conveying carbon dioxide from the gas separation means to the waste material; and third conduit means communicating with the gas separation means for conveying methane from the gas separation means.

  15. Economic and systems assessment of the concept of nearshore kelp farming for methane production. Final report Jun 82-May 83

    SciTech Connect (OSTI)

    Brehany, J.J.

    1983-04-01

    This is the final report of a study undertaken to quantify the cost of production of pipeline quality methane from the anaerobic digestion of California giant brown kelp, macrocystis. Utilizing state-of-the-art knowledge and techniques, kelp would be grown in nearshore farms in 20- to 80-ft-deep ocean waters off the coast of Southern California. It would be harvested, shredded, and pumped as slurry to a central anaerobic biodigestion plant. The kelp would be digested and the resulting gas refined to essentially pure methane. The residue would be a liquid effluent, which would be returned to sea as a nutrient for the kelp farm. Detailed capital and operating costs are estimated for several sizes of farm and plant and an economic model is developed that is capable of interacting between various system components so it can be used to test the effect of changes or improvements in individual subsystems on the levelized product cost of the total system.

  16. Methodology for Monthly Crude Oil Production Estimates

    U.S. 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

  17. Methane Credit | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Methane Credit Jump to: navigation, search Name: Methane Credit Place: Charlotte, North Carolina Zip: 28273 Product: Specialises in utilising methane produced on municipal landfill...

  18. 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.

  19. A system concept evaluation of commercial scale methane production from Coastal California kelp

    SciTech Connect (OSTI)

    Hoppmann, R.; Jain, K.; Kugler, W.; Wrobel, J.

    1983-01-01

    The systems engineering of a biomass to methane concept is described for a commercialization evaluation of deriving substitute natural gas from ocean kelp. The annual kelp yield from a small oceanic farm, and the gas evolution from small scale biodigesters are used to project the production of a 3MMscfd installation. The objective of the evaluation is to define a practical system implementation and to predict a production cost range for the substitute natural gas generated. The giant California brown kelp, Macrocystis, is the feedstock. For commercial production of methane the near shore kelp forests require expansion and management in contrast to the current harvesting of natural kelp. The planting, harvesting and material handling approaches are described which yield a feedstock production of 10/sup 6/ tons per year. This feedstock is input to a proposed gas conversion process facility and a biogas separator to yield 125 Mscf / hr of 98% pure methane at pipeline pressure. System elements are described and a pro forma cost budget is provided in constant 1982. The resultant cost of kelp derived methane is greater than the current conventional source unit price. However, the potential byproduct revenues could reduce the methane cost to a competitive status, particularly if energy costs are anticipated to continue to escalate in real terms. The future potential of gains in yield and planting strategy are displayed to illustrate the benefit of specific development areas.

  20. Michigan Coalbed Methane Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update

    Separation 77 72 77 94 125 108 1979-2014 Adjustments -28 4 2 -8 39 0 1979-2014 Revision Increases 39 10 6 35 8 3 1979-2014 Revision Decreases 105 13 12 8 4 7 1979-2014 Sales 0 0 0 0 0 1 2000-2014 Acquisitions 0 0 0 0 0 0 2000-2014 Extensions 0 0 0 0 0 1 1979-2014 New Field Discoveries 19 0 14 7 0 0 1979-2014 New Reservoir Discoveries in Old Fields 9 0 0 1 3 1 1979-2014 Estimated Production 5 6 5 10 15 14 Commercial Consumers by Local Distribution and Market

    2010 2011 2012 2013 2014

  1. ,"Miscellaneous Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Miscellaneous Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release

  2. ,"NM, East Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","NM, East Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release

  3. ,"NM, West Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","NM, West Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release

  4. ,"North Louisiana Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","North Louisiana Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release

  5. ,"TX, RRC District 10 Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","TX, RRC District 10 Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release

  6. ,"Texas Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Texas Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release

  7. Methane sources and emissions in Italy

    SciTech Connect (OSTI)

    Guidotti, G.R.; Castagnola, A.M.

    1994-12-31

    Methane emissions in Italy were assessed in the framework of the measures taken to follow out the commitments undertaken at the 1992 U.N. Conference for Environment and Development. Methane emissions of anthropic origin were estimated to be in the range of 1.6 to 2.3 million ton of methane per year. Some of these methane sources (natural gas production, transmission and distribution; rice paddies; managed livestock enteric fermentation and waste; solid waste landfills) are given here particular care as they mainly contribute to the total methane emission budget.

  8. 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.

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

    Energy.gov (indexed) [DOE]

    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 ...

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

    U.S. 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 ...

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

    U.S. 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 ...

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

    U.S. 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 ...

  13. 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 ...

  14. 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 ...

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

    U.S. 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 ...

  16. Nanostructural control of methane release in kerogen and its implications to wellbore production decline

    DOE PAGES-Beta [OSTI]

    Ho, Tuan Anh; Criscenti, Louise J.; Wang, Yifeng

    2016-06-16

    In spite of the massive success of shale gas production in the US in the last few decades there are still major concerns with the steep decline in wellbore production and the large uncertainty in a long-term projection of decline curves. A reliable projection must rely on a mechanistic understanding of methane release in shale matrix–a limiting step in shale gas extraction. Here we show that methane release in nanoporous kerogen matrix is characterized by fast release of pressurized free gas (accounting for ~30–47% recovery) followed by slow release of adsorbed gas as the gas pressure decreases, and we usemore » molecular simulations to demonstrate it. The first stage is driven by the gas pressure gradient while the second stage is controlled by gas desorption and diffusion. We further show that diffusion of all methane in nanoporous kerogen behaves differently from the bulk phase, with much smaller diffusion coefficients. The MD simulations also indicate that a significant fraction (3–35%) of methane deposited in kerogen can potentially become trapped in isolated nanopores and thus not recoverable. Finally, our results shed a new light on mechanistic understanding gas release and production decline in unconventional reservoirs. The long-term production decline appears controlled by the second stage of gas release.« less

  17. Functionally gradient material for membrane reactors to convert methane gas into value-added products

    DOE Patents [OSTI]

    Balachandran, U.; Dusek, J.T.; Kleefisch, M.S.; Kobylinski, T.P.

    1996-11-12

    A functionally gradient material for a membrane reactor for converting methane gas into value-added-products includes an outer tube of perovskite, which contacts air; an inner tube which contacts methane gas, of zirconium oxide, and a bonding layer between the perovskite and zirconium oxide layers. The bonding layer has one or more layers of a mixture of perovskite and zirconium oxide, with the layers transitioning from an excess of perovskite to an excess of zirconium oxide. The transition layers match thermal expansion coefficients and other physical properties between the two different materials. 7 figs.

  18. Functionally gradient material for membrane reactors to convert methane gas into value-added products

    DOE Patents [OSTI]

    Balachandran, Uthamalingam; Dusek, Joseph T.; Kleefisch, Mark S.; Kobylinski, Thadeus P.

    1996-01-01

    A functionally gradient material for a membrane reactor for converting methane gas into value-added-products includes an outer tube of perovskite, which contacts air; an inner tube which contacts methane gas, of zirconium oxide, and a bonding layer between the perovskite and zirconium oxide layers. The bonding layer has one or more layers of a mixture of perovskite and zirconium oxide, with the layers transitioning from an excess of perovskite to an excess of zirconium oxide. The transition layers match thermal expansion coefficients and other physical properties between the two different materials.

  19. Geothermal source potential and utilization for methane generation and alcohol production

    SciTech Connect (OSTI)

    Austin, J.C.

    1981-11-01

    A study was conducted to assess the technical and economic feasibility of integrating a geothermally heated anaerobic digester with a fuel alcohol plant and cattle feedlot. Thin stillage produced from the alcohol production process and manure collected from the cattle feedlot would be digested in anaerobic digesters to produce biogas, a mixture of methane and carbon dioxide, and residue. The energy requirements to maintain proper digester temperatures would be provided by geothermal water. The biogas produced in the digesters would be burned in a boiler to produce low-pressure steam which would be used in the alcohol production process. The alcohol plant would be sized so that the distiller's grains byproduct resulting from the alcohol production would be adequate to supply the daily cattle feed requirements. A portion of the digester residue would substitute for alfalfa hay in the cattle feedlot ration. The major design criterion for the integrated facilty was the production of adequate distiller's grain to supply the daily requirements of 1700 head of cattle. It was determined that, for a ration of 7 pounds of distiller's grain per head per day, a 1 million gpy alcohol facility would be required. An order-of-magnitude cost estimate was prepared for the proposed project, operating costs were calculated for a facility based on a corn feedstock, the economic feasibility of the proposed project was examined by calculating its simple payback, and an analysis was performed to examine the sensitivity of the project's economic viability to variations in feedstock costs and alcohol and distiller's grain prices.

  20. Methane and carbon dioxide production from simulated anaerobic degradation of cattle carcasses

    SciTech Connect (OSTI)

    Yuan Qi; Saunders, Samuel E.; Bartelt-Hunt, Shannon L.

    2012-05-15

    Highlights: Black-Right-Pointing-Pointer This study evaluates methane and carbon dioxide production after land burial of cattle carcasses. Black-Right-Pointing-Pointer Disposal of animal mortalities is often overlooked in evaluating the environmental impacts of animal production. Black-Right-Pointing-Pointer we quantify annual emissions from cattle carcass disposal in the United States as 1.6 Tg CO{sub 2} equivalents. - Abstract: Approximately 2.2 million cattle carcasses require disposal annually in the United States. Land burial is a convenient disposal method that has been widely used in animal production for disposal of both daily mortalities as well as during catastrophic mortality events. To date, greenhouse gas production after mortality burial has not been quantified, and this study represents the first attempt to quantify greenhouse gas emissions from land burial of animal carcasses. In this study, anaerobic decomposition of both homogenized and unhomogenized cattle carcass material was investigated using bench-scale reactors. Maximum yields of methane and carbon dioxide were 0.33 and 0.09 m{sup 3}/kg dry material, respectively, a higher methane yield than that previously reported for municipal solid waste. Variability in methane production rates were observed over time and between reactors. Based on our laboratory data, annual methane emissions from burial of cattle mortalities in the United States could total 1.6 Tg CO{sub 2} equivalents. Although this represents less than 1% of total emissions produced by the agricultural sector in 2009, greenhouse gas emissions from animal carcass burial may be significant if disposal of swine and poultry carcasses is also considered.

  1. Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin

    DOE PAGES-Beta [OSTI]

    Cui, Yu Yan; Brioude, Jerome; McKeen, Stuart A.; Angevine, Wayne M.; Kim, Si -Wan; Frost, Gregory J.; Ahmadov, Ravan; Peischl, Jeff; Bousserez, Nicolas; Liu, Zhen; et al

    2015-07-28

    Methane (CH4) is the primary component of natural gas and has a larger global warming potential than CO2. Some recent top-down studies based on observations showed CH4 emissions in California's South Coast Air Basin (SoCAB) were greater than those expected from population-apportioned bottom-up state inventories. In this study, we quantify CH4 emissions with an advanced mesoscale inverse modeling system at a resolution of 8 km × 8 km, using aircraft measurements in the SoCAB during the 2010 Nexus of Air Quality and Climate Change campaign to constrain the inversion. To simulate atmospheric transport, we use the FLEXible PARTicle-Weather Research andmore » Forecasting (FLEXPART-WRF) Lagrangian particle dispersion model driven by three configurations of the Weather Research and Forecasting (WRF) mesoscale model. We determine surface fluxes of CH4 using a Bayesian least squares method in a four-dimensional inversion. Simulated CH4 concentrations with the posterior emission inventory achieve much better correlations with the measurements (R2 = 0.7) than using the prior inventory (U.S. Environmental Protection Agency's National Emission Inventory 2005, R2 = 0.5). The emission estimates for CH4 in the posterior, 46.3 ± 9.2 Mg CH4/h, are consistent with published observation-based estimates. Changes in the spatial distribution of CH4 emissions in the SoCAB between the prior and posterior inventories are discussed. Missing or underestimated emissions from dairies, the oil/gas system, and landfills in the SoCAB seem to explain the differences between the prior and posterior inventories. Furthermore, we estimate that dairies contributed 5.9 ± 1.7 Mg CH4/h and the two sectors of oil and gas industries (production and downstream) and landfills together contributed 39.6 ± 8.1 Mg CH4/h in the SoCAB.« less

  2. Alaska Coalbed Methane Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update

    Onshore Natural Gas Dry Production (Million Cubic Feet) Alabama--Onshore Natural Gas Dry Production (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 125,180 106,903 100,663 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016 Referring Pages: Natural Gas Dry Production Alabama Onshore

    Dry Production (Million Cubic

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

    SciTech Connect (OSTI)

    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

  4. A Multi-tower Measurement Network Estimate of California's Methane Emissions

    SciTech Connect (OSTI)

    Jeong, Seongeun; Hsu, Ying-Kuang; Andrews, Arlyn E.; Bianco, Laura; Vaca, Patrick; Wilczak, James M.; Fischer, Marc L.

    2013-12-02

    We present an analysis of methane (CH{sub 4}) emissions using atmospheric observations from five sites in California’s Central Valley across different seasons (September 2010 to June 2011). CH{sub 4} emissions for spatial regions and source sectors are estimated by comparing measured CH{sub 4} mixing ratios with transport model (WRF-STILT) predictions based on two 0.1 degree CH{sub 4} (seasonally varying “California-specific” (CALGEM) and a static global (EDGAR42)) prior emission models. Region-specific Bayesian analyses indicate that for California’s Central Valley the CALGEM- and EDGAR42-based inversions provide consistent annual total CH{sub 4} emissions (32.87±2.09 vs. 31.60±2.17 Tg CO{sub 2}eq yr{sup -1}; 68% C.I., assuming uncorrelated errors between regions). Summing across all regions of California, optimized CH{sub 4} emissions are only marginally consistent between CALGEM- and EDGAR42-based inversions (48.35±6.47 vs. 64.97±11.85 Tg CO{sub 2}eq), because emissions from coastal urban regions (where landfill and natural gas emissions are much higher in EDGAR than CALGEM) are not strongly constrained by the measurements. Combining our results with those from a recent study of the South Coast air basin narrows the range of estimates to 43 – 57 Tg CO{sub 2}eq yr{sup -1} (1.3 - 1.8 times higher than the current state inventory). These results suggest that the combination of rural and urban measurements will be necessary to verify future changes in California’s total CH{sub 4} emissions.

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

    SciTech Connect (OSTI)

    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. Florida Coalbed Methane Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update

    3. Production Schedules at Two Development Rates for the 95 Percent Probability of Recovering 5.7 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of Alaska fig3.jpg (32189 bytes) Probability of Recovering 16.0 Billion Barrels

    5. Production Schedules at Two Development Rates for the 5 Percent Probability of Recovering 16.0 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of Alaska fig5.jpg (3770

    Recoverable Oil

    6. Projected

  7. Low-Energy, Low Cost Production of Ethylene by Low Temperature Oxidative Coupling of Methane

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

    Guido Radaelli, Divya Jonnavittula, David Zaziski, Jarod McCormick Siluria Technologies U.S. DOE Advanced Manufacturing Office Program Review Meeting Washington, D.C. June 14-15, 2016 This presentation does not contain any proprietary, confidential, or otherwise restricted information. Project Objective  Overall Objective: To develop a new catalytic process for distributed production of ethylene via low-temperature oxidative coupling of methane using the advanced OCM catalyst developed by

  8. ,"Alabama Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Alabama Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/1989" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  9. ,"Arkansas Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Arkansas Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  10. ,"Colorado Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/1989" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  11. ,"Kansas Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kansas Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  12. ,"Kentucky Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Kentucky Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  13. ,"Lower 48 States Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Lower 48 States Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release

  14. ,"Montana Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Montana Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  15. ,"U.S. Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/1989" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  16. ,"Virginia Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Virginia Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  17. ,"West Virginia Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","West Virginia Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  18. ,"Wyoming Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Wyoming Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2000" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  19. ,"New Mexico Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/1989" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  20. ,"Ohio Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2010,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  1. ,"Oklahoma Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Oklahoma Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  2. ,"Pennsylvania Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Pennsylvania Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  3. ,"U.S. Coalbed Methane Production (Billion Cubic Feet)"

    U.S. Energy Information Administration (EIA) (indexed site)

    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. Coalbed Methane Production (Billion Cubic Feet)",1,"Annual",2014 ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016" ,"Excel File Name:","rngr52nus_1a.xls"

  4. ,"Utah Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Utah Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2000" ,"Release Date:","11/19/2015" ,"Next Release Date:","12/31/2016"

  5. Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin

    SciTech Connect (OSTI)

    Cui, Yu Yan; Brioude, Jerome; McKeen, Stuart A.; Angevine, Wayne M.; Kim, Si -Wan; Frost, Gregory J.; Ahmadov, Ravan; Peischl, Jeff; Bousserez, Nicolas; Liu, Zhen; Ryerson, Thomas B.; Wofsy, Steve C.; Santoni, Gregory W.; Kort, Eric A.; Fischer, Marc L.; Trainer, Michael

    2015-07-28

    Methane (CH4) is the primary component of natural gas and has a larger global warming potential than CO2. Some recent top-down studies based on observations showed CH4 emissions in California's South Coast Air Basin (SoCAB) were greater than those expected from population-apportioned bottom-up state inventories. In this study, we quantify CH4 emissions with an advanced mesoscale inverse modeling system at a resolution of 8 km 8 km, using aircraft measurements in the SoCAB during the 2010 Nexus of Air Quality and Climate Change campaign to constrain the inversion. To simulate atmospheric transport, we use the FLEXible PARTicle-Weather Research and Forecasting (FLEXPART-WRF) Lagrangian particle dispersion model driven by three configurations of the Weather Research and Forecasting (WRF) mesoscale model. We determine surface fluxes of CH4 using a Bayesian least squares method in a four-dimensional inversion. Simulated CH4 concentrations with the posterior emission inventory achieve much better correlations with the measurements (R2 = 0.7) than using the prior inventory (U.S. Environmental Protection Agency's National Emission Inventory 2005, R2 = 0.5). The emission estimates for CH4 in the posterior, 46.3 9.2 Mg CH4/h, are consistent with published observation-based estimates. Changes in the spatial distribution of CH4 emissions in the SoCAB between the prior and posterior inventories are discussed. Missing or underestimated emissions from dairies, the oil/gas system, and landfills in the SoCAB seem to explain the differences between the prior and posterior inventories. Furthermore, we estimate that dairies contributed 5.9 1.7 Mg CH4/h and the two sectors of oil and gas industries (production and downstream) and landfills together contributed 39.6 8.1 Mg CH4/h in the SoCAB.

  6. Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin

    SciTech Connect (OSTI)

    Cui, Yu Yan; Brioude, Jerome; McKeen, Stuart A.; Angevine, Wayne M.; Kim, Si -Wan; Frost, Gregory J.; Ahmadov, Ravan; Peischl, Jeff; Bousserez, Nicolas; Liu, Zhen; Ryerson, Thomas B.; Wofsy, Steve C.; Santoni, Gregory W.; Kort, Eric A.; Fischer, Marc L.; Trainer, Michael

    2015-07-28

    Methane (CH4) is the primary component of natural gas and has a larger global warming potential than CO2. Some recent top-down studies based on observations showed CH4 emissions in California's South Coast Air Basin (SoCAB) were greater than those expected from population-apportioned bottom-up state inventories. In this study, we quantify CH4 emissions with an advanced mesoscale inverse modeling system at a resolution of 8 km × 8 km, using aircraft measurements in the SoCAB during the 2010 Nexus of Air Quality and Climate Change campaign to constrain the inversion. To simulate atmospheric transport, we use the FLEXible PARTicle-Weather Research and Forecasting (FLEXPART-WRF) Lagrangian particle dispersion model driven by three configurations of the Weather Research and Forecasting (WRF) mesoscale model. We determine surface fluxes of CH4 using a Bayesian least squares method in a four-dimensional inversion. Simulated CH4 concentrations with the posterior emission inventory achieve much better correlations with the measurements (R2 = 0.7) than using the prior inventory (U.S. Environmental Protection Agency's National Emission Inventory 2005, R2 = 0.5). The emission estimates for CH4 in the posterior, 46.3 ± 9.2 Mg CH4/h, are consistent with published observation-based estimates. Changes in the spatial distribution of CH4 emissions in the SoCAB between the prior and posterior inventories are discussed. Missing or underestimated emissions from dairies, the oil/gas system, and landfills in the SoCAB seem to explain the differences between the prior and posterior inventories. Furthermore, we estimate that dairies contributed 5.9 ± 1.7 Mg CH4/h and the two sectors of oil and gas industries (production and downstream) and landfills together contributed 39.6 ± 8.1 Mg CH4/h in the SoCAB.

  7. Process for the utilization of household rubbish or garbage and other organic waste products for the production of methane gas

    SciTech Connect (OSTI)

    Hunziker, M.; Schildknecht, A.

    1985-04-16

    Non-organic substances are separated from household garbage and the organic substances are fed in proportioned manner into a mixing tank and converted into slurry by adding liquid. The slurry is crushed for homogenization purposes in a crushing means and passed into a closed holding container. It is then fed over a heat exchanger and heated to 55/sup 0/ to 60/sup 0/ C. The slurry passes into a plurality of reaction vessels in which the methane gas and carbon dioxide are produced. In a separating plant, the mixture of gaseous products is broken down into its components and some of the methane gas is recycled by bubbling it through both the holding tank and the reaction tank, the remainder being stored in gasholders. The organic substances are degraded much more rapidly through increasing the degradation temperature and as a result constructional expenditure can be reduced.

  8. Water Management Strategies for Improved Coalbed Methane Production in the Black Warrior Basin

    SciTech Connect (OSTI)

    Pashin, Jack; McIntyre-Redden, Marcella; Mann, Steven; Merkel, David

    2013-10-31

    The modern coalbed methane industry was born in the Black Warrior Basin of Alabama and has to date produced more than 2.6 trillion cubic feet of gas and 1.6 billion barrels of water. The coalbed gas industry in this area is dependent on instream disposal of co-produced water, which ranges from nearly potable sodium-bicarbonate water to hypersaline sodium-chloride water. This study employed diverse analytical methods to characterize water chemistry in light of the regional geologic framework and to evaluate the full range of water management options for the Black Warrior coalbed methane industry. Results reveal strong interrelationships among regional geology, water chemistry, and gas chemistry. Coalbed methane is produced from multiple coal seams in Pennsylvanian-age strata of the Pottsville Coal Interval, in which water chemistry is influenced by a structurally controlled meteoric recharge area along the southeastern margin of the basin. The most important constituents of concern in the produced water include chlorides, ammonia compounds, and organic substances. Regional mapping and statistical analysis indicate that the concentrations of most ionic compounds, metallic substances, and nonmetallic substances correlate with total dissolved solids and chlorides. Gas is effectively produced at pipeline quality, and the only significant impurity is N{sub 2}. Geochemical analysis indicates that the gas is of mixed thermogenic-biogenic origin. Stable isotopic analysis of produced gas and calcite vein fills indicates that widespread late-stage microbial methanogenesis occurred primarily along a CO{sub 2} reduction metabolic pathway. Organic compounds in the produced water appear to have helped sustain microbial communities. Ammonia and ammonium levels increase with total dissolved solids content and appear to have played a role in late-stage microbial methanogenesis and the generation of N{sub 2}. Gas production tends to decline exponentially, whereas water production

  9. Methane emissions from MBT landfills

    SciTech Connect (OSTI)

    Heyer, K.-U. Hupe, K.; Stegmann, R.

    2013-09-15

    Highlights: • Compilation of methane generation potential of mechanical biological treated (MBT) municipal solid waste. • Impacts and kinetics of landfill gas production of MBT landfills, approach with differentiated half-lives. • Methane oxidation in the waste itself and in soil covers. • Estimation of methane emissions from MBT landfills in Germany. - Abstract: Within the scope of an investigation for the German Federal Environment Agency (“Umweltbundesamt”), the basics for the estimation of the methane emissions from the landfilling of mechanically and biologically treated waste (MBT) were developed. For this purpose, topical research including monitoring results regarding the gas balance at MBT landfills was evaluated. For waste treated to the required German standards, a methane formation potential of approximately 18–24 m{sup 3} CH{sub 4}/t of total dry solids may be expected. Monitoring results from MBT landfills show that a three-phase model with differentiated half-lives describes the degradation kinetics in the best way. This is due to the fact that during the first years of disposal, the anaerobic degradation processes still proceed relatively intensively. In addition in the long term (decades), a residual gas production at a low level is still to be expected. Most of the soils used in recultivation layer systems at German landfills show a relatively high methane oxidation capacity up to 5 l CH{sub 4}/(m{sup 2} h). However, measurements at MBT disposal sites indicate that the majority of the landfill gas (in particular at non-covered areas), leaves the landfill body via preferred gas emission zones (hot spots) without significant methane oxidation. Therefore, rather low methane oxidation factors are recommended for open and temporarily covered MBT landfills. Higher methane oxidation rates can be achieved when the soil/recultivation layer is adequately designed and operated. Based on the elaborated default values, the First Order Decay (FOD

  10. Effect of industrial by-products containing electron acceptors on mitigating methane emission during rice cultivation

    SciTech Connect (OSTI)

    Ali, Muhammad Aslam; Lee, Chang Hoon; Kim, Sang Yoon; Kim, Pil Joo

    2009-10-15

    Three industrial by-products (fly ash, phosphogypsum and blast furnace slag), were evaluated for their potential re-use as soil amendments to reduce methane (CH{sub 4}) emission resulting from rice cultivation. In laboratory incubations, CH{sub 4} production rates from anoxic soil slurries were significantly reduced at amendment levels of 0.5%, 1%, 2% and 5% (wt wt{sup -1}), while observed CO{sub 2} production rates were enhanced. The level of suppression in methane production was the highest for phosphogypsum, followed by blast slag and then fly ash. In the greenhouse experiment, CH{sub 4} emission rates from the rice planted potted soils significantly decreased with the increasing levels (2-20 Mg ha{sup -1}) of the selected amendments applied, while rice yield simultaneously increased compared to the control treatment. At 10 Mg ha{sup -1} application level of the amendments, total seasonal CH{sub 4} emissions were reduced by 20%, 27% and 25%, while rice grain yields were increased by 17%, 15% and 23% over the control with fly ash, phosphogypsum, and blast slag amendments, respectively. The suppression of CH{sub 4} production rates as well as total seasonal CH{sub 4} flux could be due to the increased concentrations of active iron, free iron, manganese oxides, and sulfate in the amended soil, which acted as electron acceptors and controlled methanogens' activity by limiting substrates availability. Among the amendments, blast furnace slag and fly ash contributed mainly to improve the soil nutrients balance and increased the soil pH level towards neutral point, but soil acidity was developed with phosphogypsum application. Conclusively, blast slag among the selected amendments would be a suitable soil amendment for reducing CH{sub 4} emissions as well as sustaining rice productivity.

  11. Estimating U.S. Methane Emissions from the Natural Gas Supply...

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

    is to develop the empirical foundation for activity factor uncertainty estimation. 6. Transparency and credibility of inventory estimates can be improved by bolstering...

  12. Nitrous oxide production and methane oxidation by different ammonia-oxidizing bacteria

    SciTech Connect (OSTI)

    Jiang, Q.Q.; Bakken, L.R.

    1999-06-01

    Ammonia-oxidizing bacteria (AOB) are thought to contribute significantly to N{sub 2}O production and methane oxidation in soils. Most knowledge derives from experiments with Nitrosomonas europaea, which appears to be of minor importance in most soils compared to Nitrosospira spp. The authors have conducted a comparative study of levels of aerobic N{sub 2}O production in six phylogenetically different Nitrosospira strains newly isolated from soils and in two N. europaea and Nitrosospira multiformis type strains. The fraction of oxidized ammonium released as N{sub 2}O during aerobic growth was remarkably constant for all the Nitrosospira strains, irrespective of the substrate supply (urea versus ammonium), the pH, or substrate limitation. N. europaea and Nitrosospira multiformis released similar fractions of N{sub 2}O when they were supplied with ample amounts of substrates, but the fractions rose sharply when they were restricted by a low pH or substrate limitation. Phosphate buffer doubled the N{sub 2}O release for all types of AOB. No detectable oxidation of atmospheric methane was detected. Calculations based on detection limits as well as data in the literature on CH{sub 4} oxidation by AOB bacteria prove that none of the tested strains contribute significantly to the oxidation of atmospheric CH{sub 4} in soils.

  13. ,"Federal Offshore, Gulf of Mexico, Louisiana & Alabama Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore, Gulf of Mexico, Louisiana & Alabama Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release

  14. ,"TX, RRC District 2 Onshore Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","TX, RRC District 2 Onshore Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next

  15. ,"TX, RRC District 3 Onshore Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","TX, RRC District 3 Onshore Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next

  16. ,"TX, RRC District 4 Onshore Coalbed Methane Proved Reserves, Reserves Changes, and Production"

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves, Reserves Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","TX, RRC District 4 Onshore Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"6/30/2005" ,"Release Date:","11/19/2015" ,"Next

  17. Catalytic hydrothermal gasification of biomass for the production of hydrogen-containing feedstock (methane)

    SciTech Connect (OSTI)

    Elliott, Douglas C; Hart, Todd R; Neuenschwander, Gary G

    2008-04-07

    Hydrothermal processing can be used to treat wet biomass by converting the organic contaminants to gases. When the system is operated as a metal catalyzed process at nominally 350°C and 21 MPa (so-called low-temperature gasification), it can produce a methane/carbon dioxide product gas from water slurries of biomass. This process can be utilized for both waste disposal and energy recovery. Catalyst stability in an aqueous processing environment is a major hurdle for use of such a system. Development of useful catalyst formulations has been achieved through bench-scale process development work. Catalyst lifetimes in excess of 5000h have been shown. Protection of the catalyst from feedstock impurities is a second major issue, which is more prominent in the biomass applications. Systems are under development to address mineral matter and sulfur contaminants.

  18. China United Coalbed Methane Co Ltd | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Coalbed Methane Co Ltd Jump to: navigation, search Name: China United Coalbed Methane Co Ltd Place: Beijing Municipality, China Zip: 100011 Product: Coal bed methane developer in...

  19. A microbial functional group-based module for simulating methane production and consumption: Application to an incubated permafrost soil

    SciTech Connect (OSTI)

    Xu, Xiaofeng; Elias, Dwayne A.; Graham, David E.; Phelps, Tommy J.; Carroll, Sue L.; Wullschleger, Stan D.; Thornton, Peter E.

    2015-07-23

    In this study, accurately estimating methane (CH4) flux is critically important for investigating and predicting the biogeochemistry-climate feedback. Better simulating CH4 flux requires explicit representations of microbial processes on CH4 dynamics because all processes for CH4 production and consumption are actually carried out by microbes. A microbial functional group based module was developed and tested against an incubation experiment. The module considers four key mechanisms for CH4 production and consumption: methanogenesis from acetate or single-carbon compounds and CH4 oxidation using molecular oxygen or other inorganic electron acceptors. These four processes were carried out by four microbial functional groups: acetoclastic methanogens, hydrogenotrophic methanogens, aerobic methanotrophs, and anaerobic methanotrophs. This module was then linked with the decomposition subroutine of the Community Land Model, and was further used to simulate dynamics of carbon dioxide (CO2) and CH4 concentrations from an incubation experiment with permafrost soils. The results show that the model could capture the dynamics of CO2 and CH4 concentrations in microcosms with top soils, mineral layer soils and permafrost soils under natural and saturated moisture conditions and a temperature gradient of -2°C, 3°C, and 5°C. Sensitivity analysis confirmed the importance of acetic acid's direct contribution as substrate and indirect effects through pH feedback on CO2 and CH4 production and consumption. This study suggests that representing the microbial mechanisms is critical for modeling CH4 production and consumption; it is urgent to incorporate microbial mechanisms into Earth system models for better predicting the behavior of the climate system.

  20. A microbial functional group-based module for simulating methane production and consumption: Application to an incubated permafrost soil

    SciTech Connect (OSTI)

    Xu, Xiaofeng; Elias, Dwayne A.; Graham, David E.; Phelps, Tommy J.; Carroll, Sue L.; Wullschleger, Stan D.; Thornton, Peter E.

    2015-07-23

    In this study, accurately estimating methane (CH4) flux is critically important for investigating and predicting the biogeochemistry-climate feedback. Better simulating CH4 flux requires explicit representations of microbial processes on CH4 dynamics because all processes for CH4 production and consumption are actually carried out by microbes. A microbial functional group based module was developed and tested against an incubation experiment. The module considers four key mechanisms for CH4 production and consumption: methanogenesis from acetate or single-carbon compounds and CH4 oxidation using molecular oxygen or other inorganic electron acceptors. These four processes were carried out by four microbial functional groups: acetoclastic methanogens, hydrogenotrophic methanogens, aerobic methanotrophs, and anaerobic methanotrophs. This module was then linked with the decomposition subroutine of the Community Land Model, and was further used to simulate dynamics of carbon dioxide (CO2) and CH4 concentrations from an incubation experiment with permafrost soils. The results show that the model could capture the dynamics of CO2 and CH4 concentrations in microcosms with top soils, mineral layer soils and permafrost soils under natural and saturated moisture conditions and a temperature gradient of -2C, 3C, and 5C. Sensitivity analysis confirmed the importance of acetic acid's direct contribution as substrate and indirect effects through pH feedback on CO2 and CH4 production and consumption. This study suggests that representing the microbial mechanisms is critical for modeling CH4 production and consumption; it is urgent to incorporate microbial mechanisms into Earth system models for better predicting the behavior of the climate system.

  1. A microbial functional group-based module for simulating methane production and consumption: Application to an incubated permafrost soil

    DOE PAGES-Beta [OSTI]

    Xu, Xiaofeng; Elias, Dwayne A.; Graham, David E.; Phelps, Tommy J.; Carroll, Sue L.; Wullschleger, Stan D.; Thornton, Peter E.

    2015-07-23

    In this study, accurately estimating methane (CH4) flux is critically important for investigating and predicting the biogeochemistry-climate feedback. Better simulating CH4 flux requires explicit representations of microbial processes on CH4 dynamics because all processes for CH4 production and consumption are actually carried out by microbes. A microbial functional group based module was developed and tested against an incubation experiment. The module considers four key mechanisms for CH4 production and consumption: methanogenesis from acetate or single-carbon compounds and CH4 oxidation using molecular oxygen or other inorganic electron acceptors. These four processes were carried out by four microbial functional groups: acetoclastic methanogens,more » hydrogenotrophic methanogens, aerobic methanotrophs, and anaerobic methanotrophs. This module was then linked with the decomposition subroutine of the Community Land Model, and was further used to simulate dynamics of carbon dioxide (CO2) and CH4 concentrations from an incubation experiment with permafrost soils. The results show that the model could capture the dynamics of CO2 and CH4 concentrations in microcosms with top soils, mineral layer soils and permafrost soils under natural and saturated moisture conditions and a temperature gradient of -2°C, 3°C, and 5°C. Sensitivity analysis confirmed the importance of acetic acid's direct contribution as substrate and indirect effects through pH feedback on CO2 and CH4 production and consumption. This study suggests that representing the microbial mechanisms is critical for modeling CH4 production and consumption; it is urgent to incorporate microbial mechanisms into Earth system models for better predicting the behavior of the climate system.« less

  2. Development of vanadium-phosphate catalysts for methanol production by selective oxidation of methane. Quarterly report, July - September 1996

    SciTech Connect (OSTI)

    McCormick, R.L.; Alptekin, G.O.

    1996-12-01

    This document covers the period July-September, 1996. Activities included studies of the oxidation of dimethyl ether over vanadyl pyrophosphate and synthesis of all previously acquired kinetic data. This synthesis revealed the need for additional data on methane and methanol oxidation and these experiments were performed. A further series of methanol oxidation/dehydration experiments was conducted on samples with varying surface acidity that have been described in earlier reports. Oxidation of methane over Cr- promoted VPO was also reinvestigated. The kinetic studies performed to date allow us to determine optimum conditions for methanol and formaldehyde production from methane using VPO catalysts, and in particular determine the effect of lean conditions (excess oxygen), oxygen deficient conditions (used in most other methane oxidation studies), and the potential of using the catalyst as a stoichiometric oxidant or oxygen carrier. However, unpromoted VPO yields only CO as the primary oxidation product. Studies of promoters have shown improvements in the formaldehyde selectivity but no methanol has been observed. The best promoters tested have been Fe and Cr (results for Cr are described in this report). We have also examined the use of iron phosphate for the methane conversion reaction. FePO{sub 4}is a more selectivity catalyst than the promoted VPO materials. Support of this iron phosphate on silica results in further improvements in selectivity. Current work is directed at understanding the improved selectivity for promoted VPO and at obtaining a knowledge of the optimum conditions for methane conversion of iron phosphate. 15 refs., 2 figs., 1 tab.

  3. 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 ...

  4. 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 ...

  5. 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

  6. Production of methane-rich syngas from hydrocarbon fuels using multi-functional catalyst/capture agent

    SciTech Connect (OSTI)

    Siefert, Nicholas S; Shekhawat, Dushyant; Berry, David A; Surdoval, Wayne A

    2014-12-30

    The disclosure provides a gasification process for the production of a methane-rich syngas at temperatures exceeding 700.degree. C. through the use of an alkali hydroxide MOH, using a gasification mixture comprised of at least 0.25 moles and less than 2 moles of water for each mole of carbon, and at least 0.15 moles and less than 2 moles of alkali hydroxide MOH for each mole of carbon. These relative amounts allow the production of a methane-rich syngas at temperatures exceeding 700.degree. C. by enabling a series of reactions which generate H.sub.2 and CH.sub.4, and mitigate the reforming of methane. The process provides a methane-rich syngas comprised of roughly 20% (dry molar percentage) CH.sub.4 at temperatures above 700.degree. C., and may effectively operate within an IGFC cycle at reactor temperatures between 700-900.degree. C. and pressures in excess of 10 atmospheres.

  7. 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...

  8. Evaluation of Phytoremediation of Coal Bed Methane Product Water and Waters of Quality Similar to that Associated with Coal Bed Methane Reserves of the Powder River Basin, Montana and Wyoming

    SciTech Connect (OSTI)

    James Bauder

    2008-09-30

    U.S. emphasis on domestic energy independence, along with advances in knowledge of vast biogenically sourced coalbed methane reserves at relatively shallow sub-surface depths with the Powder River Basin, has resulted in rapid expansion of the coalbed methane industry in Wyoming and Montana. Techniques have recently been developed which constitute relatively efficient drilling and methane gas recovery and extraction techniques. However, this relatively efficient recovery requires aggressive reduction of hydrostatic pressure within water-saturated coal formations where the methane is trapped. Water removed from the coal formation during pumping is typically moderately saline and sodium-bicarbonate rich, and managed as an industrial waste product. Current approaches to coalbed methane product water management include: surface spreading on rangeland landscapes, managed irrigation of agricultural crop lands, direct discharge to ephermeral channels, permitted discharge of treated and untreated water to perennial streams, evaporation, subsurface injection at either shallow or deep depths. A Department of Energy-National Energy Technology Laboratory funded research award involved the investigation and assessment of: (1) phytoremediation as a water management technique for waste water produced in association with coalbed methane gas extraction; (2) feasibility of commercial-scale, low-impact industrial water treatment technologies for the reduction of salinity and sodicity in coalbed methane gas extraction by-product water; and (3) interactions of coalbed methane extraction by-product water with landscapes, vegetation, and water resources of the Powder River Basin. Prospective, greenhouse studies of salt tolerance and water use potential of indigenous, riparian vegetation species in saline-sodic environments confirmed the hypothesis that species such as Prairie cordgrass, Baltic rush, American bulrush, and Nuttall's alkaligrass will thrive in saline-sodic environments when

  9. Enhanced coal bed methane production and sequestration of CO2 in unmineable coal

    SciTech Connect (OSTI)

    Locke, James; Winschel, Richard

    2005-03-01

    The Marshall County Project was undertaken by CONSOL Energy Inc. (CONSOL) with partial funding from the U. S. Department of Energy’s (DOE) Carbon Storage Program (CSP). The project, initiated in October 2001, was conducted to evaluate opportunities for carbon dioxide CO2 sequestration in an unmineable coal seam in the Northern Appalachian Basin with simultaneous enhanced coal bed methane recovery. This report details the final results from the project that established a pilot test in Marshall County, West Virginia, USA, where a series of coal bed methane (CBM) production wells were developed in an unmineable coal seam (Upper Freeport (UF)) and the overlying mineable Pittsburgh (PIT) seam. The initial wells were drilled beginning in 2003, using slant-hole drilling procedures with a single production leg, in a down-dip orientation that provided limited success. Improved well design, implemented in the remaining wells, allowed for greater CBM production. The nearly-square-shaped project area was bounded by the perimeter production wells in the UF and PIT seams encompassing an area of 206 acres. Two CBM wells were drilled into the UF at the center of the project site, and these were later converted to serve as CO2 injection wells through which, 20,000 short tons of CO2 were planned to be injected at a maximum rate of 27 tons per day. A CO2 injection system comprised of a 50-ton liquid CO2 storage tank, a cryogenic pump, and vaporization system was installed in the center of the site and, after obtaining a Class II underground injection permit (UIC) permit from the West Virginia Department of Environmental Protection (WVDEP), CO2 injection, through the two center wells, into the UF was initiated in September 2009. Numerous complications limited CO2 injection continuity, but CO2 was injected until breakthrough was encountered in September 2013, at which point the project had achieved an injection total of 4,968 tons of CO2. During the injection and post

  10. 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

  11. 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

  12. Influence of H/sub 2/ stripping on methane production in conventional digesters

    SciTech Connect (OSTI)

    Poels, J.; Van Assche, P.; Verstraete, W.

    1985-12-01

    Hydrogen is a central metabolite in the methanization process. In this study the partial pressure of hydrogen in the gas phase of laboratory manure digesters was monitored over extensive periods of time and found to vary between 50 and 100.10/sup -6/ atm. By sparging the gas phase of the digester through an auxiliary reactor, hydrogenotrophic methanogens were allowed to develop at the expense of hydrogen and carbon dioxide present in the biogas, independently of the liquid or cell residence time in the main reactor. By scrubbing ca. 100 volumes of biogas per liter reactor per day through an auxiliary reactor, hydrogen concentration could be decreased maximally 25%. This resulted in an increase in the gas production rate of the main digester of ca. 10% and a concomitant improved removal of volatile fatty acids from the mixed liquor. The results obtained indicate that considerable stripping of hydrogen from the digester could be achieved at acceptable energy expenditure. However, the microbial removal of the hydrogen at these low concentrations is extremely slow and limits the applicability of this approach.

  13. Drilling and production statistics for major US coalbed methane and gas shale reservoirs. Topical report, June-August 1995

    SciTech Connect (OSTI)

    Kelso, B.S.; Lombardi, T.E.; Kuuskraa, J.A.

    1995-12-01

    The objective of this work is to provide GRI with a review and analysis of the oil and gas industry`s activity level and associated production from the major coalbed methane and gas shale reservoirs in the U.S. The authors specifically focused on the pre- and post-Section 29 qualifying deadline of December 1992 for unconventional gas Tax Credits. The primary plays investigated include the coalbed methane reservoirs in the San Juan, Warrier, Appalachian, Uinta, Powder River, and Pieceance basins and the gas shale plays in the Michigan, Fort Worth, Appalachian, Denver, and Illinois basins. A projection for future activity and production levels is made based on historic trends for each of the reservoir types. Telephone surveys were conducted with numerous operators to determine current activity status and to assist in projecting future activity of the two gas resources.

  14. Texas--RRC District 5 Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Production (Billion Cubic Feet) Texas--RRC District 4 onsh Shale 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 2000's 0 0 5 2010's 26 154 305 316 381 - = 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: Shale Natural Gas Estimated Production TX, RRC District 4 Onshore Shale Gas Proved

  15. Texas--RRC District 6 Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Shale Production (Billion Cubic Feet) Texas--RRC District 5 Shale 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 2000's 437 769 954 2010's 1,053 1,266 1,256 1,128 1,022 - = 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: Shale Natural Gas Estimated Production TX, RRC District 5 Shale Gas

  16. Texas--RRC District 7B Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Shale Production (Billion Cubic Feet) Texas--RRC District 6 Shale 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 2000's 0 3 28 2010's 219 382 486 409 270 - = 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: Shale Natural Gas Estimated Production TX, RRC District 6 Shale Gas Proved Reserves,

  17. Texas--RRC District 7C Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Shale Production (Billion Cubic Feet) Texas--RRC District 7B Shale 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 2000's 90 141 145 2010's 140 184 258 218 165 - = 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: Shale Natural Gas Estimated Production TX, RRC District 7B Shale Gas Proved

  18. Texas--RRC District 8 Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Shale Production (Billion Cubic Feet) Texas--RRC District 7C Shale 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 2010's 0 0 2 13 111 - = 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: Shale Natural Gas Estimated Production TX, RRC District 7C Shale Gas Proved Reserves, Reserves Changes, and

  19. Texas--RRC District 8A Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Shale Production (Billion Cubic Feet) Texas--RRC District 8 Shale 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 2000's 1 4 3 2010's 7 5 22 62 78 - = 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: Shale Natural Gas Estimated Production TX, RRC District 8 Shale Gas Proved Reserves, Reserves

  20. Texas--RRC District 9 Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Shale Production (Billion Cubic Feet) Texas--RRC District 8A Shale 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 2010's 0 0 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: Shale Natural Gas Estimated Production TX, RRC District 8A Shale Gas Proved Reserves, Reserves Changes, and

  1. Methane Hydrate Production Technologies to be Tested on Alaska's North Slope

    Office of Energy Efficiency and Renewable Energy (EERE)

    The U.S. Department of Energy, the Japan Oil, Gas and Metals National Corporation, and ConocoPhillips will work together to test innovative technologies for producing methane gas from hydrate deposits on the Alaska North Slope.

  2. Effects of a gradually increased load of fish waste silage in co-digestion with cow manure on methane production

    SciTech Connect (OSTI)

    Solli, Linn Bergersen, Ove; Sørheim, Roald; Briseid, Tormod

    2014-08-15

    Highlights: • New results from continuous anaerobic co-digestion of fish waste silage (FWS) and cow manure (CM). • Co-digestion of FWS and CM has a high biogas potential. • Optimal mixing ratio of FWS/CM is 13–16/87–84 volume%. • High input of FWS leads to accumulation of NH4+ and VFAs and process failure. - Abstract: This study examined the effects of an increased load of nitrogen-rich organic material on anaerobic digestion and methane production. Co-digestion of fish waste silage (FWS) and cow manure (CM) was studied in two parallel laboratory-scale (8 L effective volume) semi-continuous stirred tank reactors (designated R1 and R2). A reactor fed with CM only (R0) was used as control. The reactors were operated in the mesophilic range (37 °C) with a hydraulic retention time of 30 days, and the entire experiment lasted for 450 days. The rate of organic loading was raised by increasing the content of FWS in the feed stock. During the experiment, the amount (volume%) of FWS was increased stepwise in the following order: 3% – 6% – 13% – 16%, and 19%. Measurements of methane production, and analysis of volatile fatty acids, ammonium and pH in the effluents were carried out. The highest methane production from co-digestion of FWS and CM was 0.400 L CH4 gVS{sup −1}, obtained during the period with loading of 16% FWS in R2. Compared to anaerobic digestion of CM only, the methane production was increased by 100% at most, when FWS was added to the feed stock. The biogas processes failed in R1 and R2 during the periods, with loadings of 16% and 19% FWS, respectively. In both reactors, the biogas processes failed due to overloading and accumulation of ammonia and volatile fatty acids.

  3. Simulation of an integrated system for the production of methane and single cell protein from biomass

    SciTech Connect (OSTI)

    Thomas, M.V.

    1989-01-01

    A numerical model was developed to simulate the operation of an integrated system for the production of methane and single-cell algal protein from a variety of biomass energy crops or waste streams. Economic analysis was performed at the end of each simulation. The model was capable of assisting in the determination of design parameters by providing relative economic information for various strategies. Three configurations of anaerobic reactors were simulated. These included fed-bed reactors, conventional stirred tank reactors, and continuously expanding reactors. A generic anaerobic digestion process model, using lumped substrate parameters, was developed for use by type-specific reactor models. The generic anaerobic digestion model provided a tool for the testing of conversion efficiencies and kinetic parameters for a wide range of substrate types and reactor designs. Dynamic growth models were used to model the growth of algae and Eichornia crassipes was modeled as a function of daily incident radiation and temperature. The growth of Eichornia crassipes was modeled for the production of biomass as a substrate for digestion. Computer simulations with the system model indicated that tropical or subtropical locations offered the most promise for a viable system. The availability of large quantities of digestible waste and low land prices were found to be desirable in order to take advantage of the economies of scale. Other simulations indicated that poultry and swine manure produced larger biogas yields than cattle manure. The model was created in a modular fashion to allow for testing of a wide variety of unit operations. Coding was performed in the Pascal language for use on personal computers.

  4. Understanding the nature of methane emission from rice ecosystems as basis of mitigation strategies

    SciTech Connect (OSTI)

    Buendia, L.V.; Neue, H.U.; Wassmann, R.

    1996-12-31

    Methane is considered as an important Greenhouse gas and rice fields are one of the major atmospheric methane sources. The paper aims to develop sampling strategies and formulate mitigation options based on diel (day and night) and seasonal pattern of methane emission. The study was conducted in 4 countries to measure methane flux using an automatic closed chamber system. A 24-hour bihourly methane emissions were continuously obtained during the whole growing season. Daily and seasonal pattern of methane fluxes from different rice ecosystems were evaluated. Diel pattern of methane emission from irrigated rice fields, in all sites, displayed similar pattern from planting to flowering. Fluxes at 0600, 1200, and 1800 h were important components of the total diel flux. A proposed sampling frequency to accurately estimate methane emission within the growing season was designed based on the magnitude of daily flux variation. Total methane emission from different ecosystems follow the order: deepwater rice > irrigated rice > rainfed rice. Application of pig manure increased total emission by 10 times of that without manure. Green manure application increased emission by 49% of that applied only with inorganic fertilizer. Removal of floodwater at 10 DAP and 35 DAP, within a period of 4 days, inhibited production and emission of methane. The level of variation in daily methane emission and seasonal emission pattern provides useful information for accurate determination of methane fluxes. Characterization of seasonal emission pattern as to ecologies, fertilizer amendments, and water management gives an idea of where to focus mitigation strategies for sustainable rice production.

  5. Four Critical Needs to Change the Hydrate Energy Paradigm from Assessment to Production: The 2007 Report to Congress by the U.S. Federal methane Hydrate Advisory Committee

    SciTech Connect (OSTI)

    Mahajan,D.; Sloan, D.; Brewer, P.; Dutta, N.; Johnson, A.; Jones, E.; Juenger, K.; Kastner, M.; Masutani, S.; Swenson, R.; Whelan, J.; Wilson, s.; Woolsey, R.

    2009-03-11

    This work summarizes a two-year study by the U.S. Federal Methane Hydrate Advisory Committee recommending the future needs for federally-supported hydrate research. The Report was submitted to the US Congress on August 14, 2007 and includes four recommendations regarding (a) permafrost hydrate production testing, (b) marine hydrate viability assessment (c) climate effect of hydrates, and (d) international cooperation. A secure supply of natural gas is a vital goal of the U.S. national energy policy because natural gas is the cleanest and most widely used of all fossil fuels. The inherent cleanliness of natural gas, with the lowest CO2 emission per unit of heat energy of any fossil fuel, means substituting gas for coal and fuel oil will reduce emissions that can exacerbate the greenhouse effect. Both a fuel and a feedstock, a secure and reasonably priced supply of natural gas is important to industry, electric power generators, large and small commercial enterprises, and homeowners. Because each volume of solid gas hydrate contains as much as 164 standard volumes of methane, hydrates can be viewed as a concentrated form of natural gas equivalent to compressed gas but less concentrated than liquefied natural gas (LNG). Natural hydrate accumulations worldwide are estimated to contain 700,000 TCF of natural gas, of which 200,000 TCF are located within the United States. Compared with the current national annual consumption of 22 TCF, this estimate of in-place gas in enormous. Clearly, if only a fraction of the hydrated methane is recoverable, hydrates could constitute a substantial component of the future energy portfolio of the Nation (Figure 1). However, recovery poses a major technical and commercial challenge. Such numbers have sparked interest in natural gas hydrates as a potential, long-term source of energy, as well as concerns about any potential impact the release of methane from hydrates might have on the environment. Energy-hungry countries such as India and

  6. Matrix Shrinkage and Swelling Effects on Economics of Enhanced Coalbed Methane Production and CO2 Sequestration in Coal

    SciTech Connect (OSTI)

    Gorucu, F.B.; Jikich, S.A.; Bromhal, G.S.; Sams, W.N.; Ertekin, T.; Smith, D.H.

    2005-09-01

    Increases in CO2 levels in the atmosphere and their contributions to global climate change have been a major concern. It has been shown that CO2 injection can enhance the methane recovery from coal. Accordingly, sequestration costs can be partially offset by the value added product. Indeed, coal seam sequestration may be profitable, particularly with the introduction of incentives for CO2 sequestration. Hence, carbon dioxide sequestration in unmineable coals is a very attractive option, not only for environmental reasons, but also for possible economic benefits. Darcy flow through cleats is an important transport mechanism in coal. Cleat compression and permeability changes due to gas sorption desorption, changes of effective stress, and matrix swelling and shrinkage introduce a high level of complexity into the feasibility of a coal sequestration project. The economic effects of carbon dioxide-induced swelling on permeabilities and injectivities has received little (if any) detailed attention. Carbon dioxide and methane have different swelling effects on coal. In this work, the Palmer-Mansoori model for coal shrinkage and permeability increases during primary methane production was re-written to also account for coal swelling caused by carbon dioxide sorption. The generalized model was added to PSU-COALCOMP, a dual porosity reservoir simulator for primary and enhanced coalbed methane production. A standard five-spot of vertical wells and representative coal properties for Appalachian coals were used.[1] Simulations and sensitivity analyses were performed with the modified simulator for nine different parameters, including coal seam and operational parameters and economic criteria. The coal properties and operating parameters that were varied included Youngs modulus, Poissons ratio, the cleat porosity, and the injection pressure. The economic variables included CH4 price, CO2 cost, CO2 credit, water disposal cost, and interest rate. Net present value analyses of

  7. 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...

  8. Dry-thermophilic anaerobic digestion of organic fraction of municipal solid waste: Methane production modeling

    SciTech Connect (OSTI)

    Fdez-Gueelfo, L.A.; Alvarez-Gallego, C.; Sales, D.; Romero Garcia, L.I.

    2012-03-15

    Highlights: Black-Right-Pointing-Pointer Methane generation may be modeled by means of modified product generation model of Romero Garcia (1991). Black-Right-Pointing-Pointer Organic matter content and particle size influence the kinetic parameters. Black-Right-Pointing-Pointer Higher organic matter content and lower particle size enhance the biomethanization. - Abstract: The influence of particle size and organic matter content of organic fraction of municipal solid waste (OFMSW) in the overall kinetics of dry (30% total solids) thermophilic (55 Degree-Sign C) anaerobic digestion have been studied in a semi-continuous stirred tank reactor (SSTR). Two types of wastes were used: synthetic OFMSW (average particle size of 1 mm; 0.71 g Volatile Solids/g waste), and OFMSW coming from a composting full scale plant (average particle size of 30 mm; 0.16 g Volatile Solids/g waste). A modification of a widely-validated product-generation kinetic model has been proposed. Results obtained from the modified-model parameterization at steady-state (that include new kinetic parameters as K, Y{sub pMAX} and {theta}{sub MIN}) indicate that the features of the feedstock strongly influence the kinetics of the process. The overall specific growth rate of microorganisms ({mu}{sub max}) with synthetic OFMSW is 43% higher compared to OFMSW coming from a composting full scale plant: 0.238 d{sup -1} (K = 1.391 d{sup -1}; Y{sub pMAX} = 1.167 L CH{sub 4}/gDOC{sub c}; {theta}{sub MIN} = 7.924 days) vs. 0.135 d{sup -1} (K = 1.282 d{sup -1}; Y{sub pMAX} = 1.150 L CH{sub 4}/gDOC{sub c}; {theta}{sub MIN} = 9.997 days) respectively. Finally, it could be emphasized that the validation of proposed modified-model has been performed successfully by means of the simulation of non-steady state data for the different SRTs tested with each waste.

  9. 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

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

    U.S. 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

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

    U.S. 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.

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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:

  16. Louisiana State Offshore Dry Natural Gas Reserves Estimated Production

    U.S. 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.

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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:

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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.

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

  16. California Federal Offshore Dry Natural Gas Reserves Estimated Production

    U.S. 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

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

    U.S. 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

  18. California State Offshore Dry Natural Gas Reserves Estimated Production

    U.S. 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

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

    U.S. 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

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

    U.S. 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:

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

  6. Pennsylvania Crude Oil + Lease Condensate Estimated Production from

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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:

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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:

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

    U.S. 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 =

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

    U.S. 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

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

    U.S. 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 =

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

    U.S. 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:

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    SciTech Connect (OSTI)

    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.

  12. 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 ...

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

    U.S. 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 ...

  14. Exploiting coalbed methane and protecting the global environment

    SciTech Connect (OSTI)

    Yuheng, Gao

    1996-12-31

    The global climate change caused by greenhouse gases (GHGs) emission has received wide attention from all countries in the world. Global environmental protection as a common problem has confronted the human being. As a main component of coalbed methane, methane is an important factor influencing the production safety of coal mine and threatens the lives of miners. The recent research on environment science shows that methane is a very harmful GHG. Although methane gas has very little proportion in the GHGs emission and its stayed period is also very short, it has very obvious impact on the climate change. From the estimation, methane emission in the coal-mining process is only 10% of the total emission from human`s activities. As a clean energy, Methane has mature recovery technique before, during and after the process of mining. Thus, coalbed methane is the sole GHG generated in the human`s activities and being possible to be reclaimed and utilized. Compared with the global greenhouse effect of other GHGs emission abatement, coalbed methane emission abatement can be done in very low cost with many other benefits: (1) to protect global environment; (2) to improve obviously the safety of coal mine; and (3) to obtain a new kind of clean energy. Coal is the main energy in China, and coalbed contains very rich methane. According to the exploration result in recent years, about 30000{approximately}35000 billion m{sup 2} methane is contained in the coalbed below 2000 m in depth. China has formed a good development base in the field of reclamation and utilization of coalbed methane. The author hopes that wider international technical exchange and cooperation in the field will be carried out.

  15. Industrial landfill leachate characterization and treatment utilizing anaerobic digestion with methane production

    SciTech Connect (OSTI)

    Corbo, P.

    1985-01-01

    Anaerobic digestion of organic compounds found in an industrial landfill leachate originating from a Superfund site was assessed using mixed methanogenic cultures. Leachate was found to contain a dissolved organic content (DOC) of about 16,000 mg/liter, of which 40% was in the form of acetic, propionic and butyric acids. The overall reduction of DOC and the fates of individual volatile fatty acids were studied during batch experiments of 5, 10, and 20% leachate dilutions. Other leachate components were characterized. Two methanogenic cultures were selected. A leachate digesting culture was selected directly with the leachate. A volatile fatty acid digesting culture was selected using acetic, propionic and butyric acids in the ratio found in the leachate. An overall DOC reduction of 64.3% was observed for the leachate digesting culture. A reduction of 69.1% was observed for the volatile fatty acid digesting culture. Specific DOC utilization rates were 0.154 and 0.211 day/sup -1/, for the leachate digesting and volatile fatty acid digesting cultures, respectively. Methane was produced at levels of 0.95-0.99 liters per gram DOC removed. Cell growth could not be observed during batch experiments. Acetate appeared to be the rate-limiting step in the DOC removal. Batch experiments with 20% leachate dilutions did not produce much methane, possibly due to overloading systems with volatile fatty acids. Other leachate components did not appear to effect anaerobic digestion.

  16. AO13. High energy, low methane syngas from low-rank coals for coal-to-liquids production

    SciTech Connect (OSTI)

    Lucero, Andrew; Goyal, Amit; McCabe, Kevin; Gangwal, Santosh

    2015-06-30

    An experimental program was undertaken to develop and demonstrate novel steam reforming catalysts for converting tars, C2+ hydrocarbons, and methane under high temperature and sulfur environments at lab scale. Several catalysts were developed and synthesized along with some catalysts based on recipes found in the literature. Of these, two had good resistance at 90 ppm H2S with one almost not affected at all. Higher concentrations of H2S did affect methane conversion across the catalyst, but performance was fairly stable for up to 200 hours. Based on the results of the experimental program, a techno-economic analysis was developed for IGCC and CTL applications and compared to DOE reference cases to examine the effects of the new technology. In the IGCC cases, the reformer/POX system produces nearly the same amount of electricity for nearly the same cost, however, the reformers/POX case sequesters a higher percentage of the carbon when compared to IGCC alone. For the CTL case the economics of the new process were nearly identical to the CTL case, but due to improved yields, the greenhouse gas emissions for a given production of fuels was approximately 50% less than the baseline case.

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

    SciTech Connect (OSTI)

    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.

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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;

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

  5. Comment on ``Effect of electron temperature on negative hydrogen ion production in a low-pressure Ar discharge plasma with methane`` [Appl. Phys. Lett. 63, 1619 (1993)

    SciTech Connect (OSTI)

    Pinnaduwage, L.A. |

    1995-08-14

    The author proposes a mechanism for the efficient production of negative Hydrogen ions in a low{minus}pressure Ar discharge plasma with methane using a novel pin{minus}hollow cathode as reported in Appl. Phys. Lett. 63, 1619 (1993). (AIP) {copyright} {ital 1995} {ital American} {ital Institute} {ital of} {ital Physics}.

  6. 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

  7. Sorption-Enhanced Synthetic Natural Gas (SNG) Production from Syngas. A Novel Process Combining CO Methanation, Water-Gas Shift, and CO2 Capture

    SciTech Connect (OSTI)

    Lebarbier, Vanessa M.C.; Dagle, Robert A.; Kovarik, Libor; Albrecht, Karl O.; Li, Xiaohong S.; Li, Liyu; Taylor, Charles E.; Bao, Xinhe; Wang, Yong

    2013-07-08

    Synthetic natural gas (SNG) production from syngas is under investigation again due to the desire for less dependency from imports and the opportunity for increasing coal utilization and reducing green house gas emission. CO methanation is highly exothermic and substantial heat is liberated which can lead to process thermal imbalance and deactivation of the catalyst. As a result, conversion per pass is limited and substantial syngas recycle is employed in conventional processes. Furthermore, the conversion of syngas to SNG is typically performed at moderate temperatures (275 to 325°C) to ensure high CH4 yields since this reaction is thermodynamically limited. In this study, the effectiveness of a novel integrated process for the SNG production from syngas at high temperature (i.e. 600°C) was investigated. This integrated process consists of combining a CO methanation nickel-based catalyst with a high temperature CO2 capture sorbent in a single reactor. Integration with CO2 separation eliminates the reverse-water-gas shift and the requirement for a separate water-gas shift (WGS) unit. Easing of thermodynamic constraint offers the opportunity of enhancing yield to CH4 at higher operating temperature (500-700ºC) which also favors methanation kinetics and improves the overall process efficiency due to exploitation of reaction heat at higher temperatures. Furthermore, simultaneous CO2 capture eliminates green house gas emission. In this work, sorption-enhanced CO methanation was demonstrated using a mixture of a 68% CaO/32% MgAl2O4 sorbent and a CO methanation catalyst (Ni/Al2O3, Ni/MgAl2O4, or Ni/SiC) utilizing a syngas ratio (H2/CO) of 1, gas-hour-space velocity (GHSV) of 22 000 hr-1, pressure of 1 bar and a temperature of 600°C. These conditions resulted in ~90% yield to methane, which was maintained until the sorbent

  8. Methane Hydrates

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

    Special Report: Frozen Heat: A Global Outlook on Methane Hydrates The United Nations Environmental Programme released this new, two-volume report in March 2015. Frozen Heat: A ...

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

    U.S. 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;

  10. 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, ...

  11. 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 ...

  12. Gulf of Mexico Federal Offshore - Louisiana and Alabama Coalbed Methane

    U.S. Energy Information Administration (EIA) (indexed site)

    Production (Billion Cubic Feet) 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 2000's 0 0 0 0 0 2010's 0 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: Coalbed Methane Estimated Production

  13. Coal-Derived Warm Syngas Purification and CO2 Capture-Assisted Methane Production

    SciTech Connect (OSTI)

    Dagle, Robert A.; King, David L.; Li, Xiaohong S.; Xing, Rong; Spies, Kurt A.; Zhu, Yunhua; Rainbolt, James E.; Li, Liyu; Braunberger, B.

    2014-10-01

    Gasifier-derived syngas from coal has many applications in the area of catalytic transformation to fuels and chemicals. Raw syngas must be treated to remove a number of impurities that would otherwise poison the synthesis catalysts. Inorganic impurities include alkali salts, chloride, sulfur compounds, heavy metals, ammonia, and various P, As, Sb, and Se- containing compounds. Systems comprising multiple sorbent and catalytic beds have been developed for the removal of impurities from gasified coal using a warm cleanup approach. This approach has the potential to be more economic than the currently available acid gas removal (AGR) approaches and improves upon currently available processes that do not provide the level of impurity removal that is required for catalytic synthesis application. Gasification also lends itself much more readily to the capture of CO2, important in the regulation and control of greenhouse gas emissions. CO2 capture material was developed and in this study was demonstrated to assist in methane production from the purified syngas. Simultaneous CO2 sorption enhances the CO methanation reaction through relaxation of thermodynamic constraint, thus providing economic benefit rather than simply consisting of an add-on cost for carbon capture and release. Molten and pre-molten LiNaKCO3 can promote MgO and MgO-based double salts to capture CO2 with high cycling capacity. A stable cycling CO2 capacity up to 13 mmol/g was demonstrated. This capture material was specifically developed in this study to operate in the same temperature range and therefore integrate effectively with warm gas cleanup and methane synthesis. By combining syngas methanation, water-gas-shift, and CO2 sorption in a single reactor, single pass yield to methane of 99% was demonstrated at 10 bar and 330°C when using a 20 wt% Ni/MgAl2O4 catalyst and a molten-phase promoted Mg

  14. Characterization of Methane Degradation and Methane-Degrading Microbes in Alaska Coastal Water

    SciTech Connect (OSTI)

    Kirchman, David L.

    2012-03-29

    The net flux of methane from methane hydrates and other sources to the atmosphere depends on methane degradation as well as methane production and release from geological sources. The goal of this project was to examine methane-degrading archaea and organic carbon oxidizing bacteria in methane-rich and methane-poor sediments of the Beaufort Sea, Alaska. The Beaufort Sea system was sampled as part of a multi-disciplinary expedition (Methane in the Arctic Shelf or MIDAS) in September 2009. Microbial communities were examined by quantitative PCR analyses of 16S rRNA genes and key methane degradation genes (pmoA and mcrA involved in aerobic and anaerobic methane degradation, respectively), tag pyrosequencing of 16S rRNA genes to determine the taxonomic make up of microbes in these sediments, and sequencing of all microbial genes (metagenomes ). The taxonomic and functional make-up of the microbial communities varied with methane concentrations, with some data suggesting higher abundances of potential methane-oxidizing archaea in methane-rich sediments. Sequence analysis of PCR amplicons revealed that most of the mcrA genes were from the ANME-2 group of methane oxidizers. According to metagenomic data, genes involved in methane degradation and other degradation pathways changed with sediment depth along with sulfate and methane concentrations. Most importantly, sulfate reduction genes decreased with depth while the anaerobic methane degradation gene (mcrA) increased along with methane concentrations. The number of potential methane degradation genes (mcrA) was low and inconsistent with other data indicating the large impact of methane on these sediments. The data can be reconciled if a small number of potential methane-oxidizing archaea mediates a large flux of carbon in these sediments. Our study is the first to report metagenomic data from sediments dominated by ANME-2 archaea and is one of the few to examine the entire microbial assemblage potentially involved in

  15. 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 ...

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

    Energy.gov (indexed) [DOE]

    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 ...

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

    U.S. 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 ...

  18. 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

  19. 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.

  20. ARM - Methane Background Information

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

    WarmingMethane Background Information Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Methane Background Information What is Methane? Why Do We Use Methane? How is Methane Made? Where Do We Find Methane? Can Methane Be Dangerous? Does Methane Contribute to Climate Change? What is Methane?

  1. Valuing the ozone-related health benefits of methane emission controls

    DOE PAGES-Beta [OSTI]

    Sarofim, Marcus C.; Waldhoff, Stephanie T.; Anenberg, Susan C.

    2015-06-29

    Methane is a greenhouse gas that oxidizes to form ground-level ozone, itself a greenhouse gas and a health-harmful air pollutant. Reducing methane emissions will both slow anthropogenic climate change and reduce ozone-related mortality. We estimate the benefits of reducing methane emissions anywhere in the world for ozone-related premature mortality globally and for eight geographic regions. Our methods are consistent with those used by the US Government to estimate the social cost of carbon (SCC). We find that the global short- and long-term premature mortality benefits due to reduced ozone production from methane mitigation are (2011) $790 and $1775 per tonnemore » methane, respectively. These correspond to approximately 70 and 150 % of the valuation of methane’s global climate impacts using the SCC after extrapolating from carbon dioxide to methane using global warming potential estimates. Results for monetized benefits are sensitive to a number of factors, particularly the choice of elasticity to income growth used when calculating the value of a statistical life. The benefits increase for emission years further in the future. Regionally, most of the global mortality benefits accrue in Asia, but 10 % accrue in the United States. As a result, this methodology can be used to assess the benefits of methane emission reductions anywhere in the world, including those achieved by national and multinational policies.« less

  2. Valuing the ozone-related health benefits of methane emission controls

    SciTech Connect (OSTI)

    Sarofim, Marcus C.; Waldhoff, Stephanie T.; Anenberg, Susan C.

    2015-06-29

    Methane is a greenhouse gas that oxidizes to form ground-level ozone, itself a greenhouse gas and a health-harmful air pollutant. Reducing methane emissions will both slow anthropogenic climate change and reduce ozone-related mortality. We estimate the benefits of reducing methane emissions anywhere in the world for ozone-related premature mortality globally and for eight geographic regions. Our methods are consistent with those used by the US Government to estimate the social cost of carbon (SCC). We find that the global short- and long-term premature mortality benefits due to reduced ozone production from methane mitigation are (2011) $790 and $1775 per tonne methane, respectively. These correspond to approximately 70 and 150 % of the valuation of methane’s global climate impacts using the SCC after extrapolating from carbon dioxide to methane using global warming potential estimates. Results for monetized benefits are sensitive to a number of factors, particularly the choice of elasticity to income growth used when calculating the value of a statistical life. The benefits increase for emission years further in the future. Regionally, most of the global mortality benefits accrue in Asia, but 10 % accrue in the United States. As a result, this methodology can be used to assess the benefits of methane emission reductions anywhere in the world, including those achieved by national and multinational policies.

  3. 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 ...

  4. Methane generation from animal wastes

    SciTech Connect (OSTI)

    Fulton, E.L.

    1980-06-01

    The conversion of manure to biogas via anaerobic digestion is described. The effluent resulting from the conversion retains fertilizer value and is environmentally acceptable. Discussion is presented under the headings: methane formation in the digester; the Tarleton State Poultry Waste to Methane production system; operating experience at Tarleton State; economics of biogas production from poultry waste; construction cost and biogas value; energy uses; feed and waste processing; and advantages of anaerobic digestion. (DMC)

  5. Coal mine methane global review

    SciTech Connect (OSTI)

    2008-07-01

    This is the second edition of the Coal Mine Methane Global Overview, updated in the summer of 2008. This document contains individual, comprehensive profiles that characterize the coal and coal mine methane sectors of 33 countries - 22 methane to market partners and an additional 11 coal-producing nations. The executive summary provides summary tables that include statistics on coal reserves, coal production, methane emissions, and CMM projects activity. An International Coal Mine Methane Projects Database accompanies this overview. It contains more detailed and comprehensive information on over two hundred CMM recovery and utilization projects around the world. Project information in the database is updated regularly. This document will be updated annually. Suggestions for updates and revisions can be submitted to the Administrative Support Group and will be incorporate into the document as appropriate.

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

    Energy.gov (indexed) [DOE]

    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 ...

  7. Direct Aromaization of Methane

    SciTech Connect (OSTI)

    George Marcelin

    1997-01-15

    The thermal decomposition of methane offers significant potential as a means of producing higher unsaturated and aromatic hydrocarbons when the extent of reaction is limited. Work in the literature previous to this project had shown that cooling the product and reacting gases as the reaction proceeds would significantly reduce or eliminate the formation of solid carbon or heavier (Clo+) materials. This project studied the effect and optimization of the quenching process as a means of increasing the amount of value added products during the pyrolysis of methane. A reactor was designed to rapidly quench the free-radical combustion reaction so as to maximize the yield of aromatics. The use of free-radical generators and catalysts were studied as a means of lowering the reaction temperature. A lower reaction temperature would have the benefits of more rapid quenching as well as a more feasible commercial process due to savings realized in energy and material of construction costs. It was the goal of the project to identify promising routes from methane to higher hydrocarbons based on the pyrolysis of methane.

  8. 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 ...

  9. 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: ...

  10. Effects of matrix shrinkage and swelling on the economics of enhanced-coalbed-methane production and CO{sub 2} sequestration in coal

    SciTech Connect (OSTI)

    Gorucu, F.B.; Jikich, S.A.; Bromhal, G.S.; Sams, W.N.; Ertekin, T.; Smith, D.H.

    2007-08-15

    In this work, the Palmer-Mansoori model for coal shrinkage and permeability increases during primary methane production was rewritten to also account for coal swelling caused by CO{sub 2} sorption. The generalized model was added to a compositional, dual porosity coalbed-methane reservoir simulator for primary (CBM) and ECBM production. A standard five-spot of vertical wells and representative coal properties for Appalachian coals was used. Simulations and sensitivity analyses were performed with the modified simulator for nine different parameters, including coal seam and operational parameters and economic criteria. The coal properties and operating parameters that were varied included Young's modulus, Poisson's ratio, cleat porosity, and injection pressure. The economic variables included CH{sub 4}, price, Col Cost, CO{sub 2} credit, water disposal cost, and interest rate. Net-present value (NPV) analyses of the simulation results included profits resulting from CH{sub 4}, production and potential incentives for sequestered CO{sub 2}, This work shows that for some coal seams, the combination of compressibility, cleat porosity, and shrinkage/swelling of the coal may have a significant impact on project economics.

  11. Direct production of hydrogen and aromatics from methane or natural gas: Review of recent U.S. patents

    SciTech Connect (OSTI)

    Lucia M. Petkovic; Daniel M. Ginosar

    2012-03-01

    Since the year 2000, the United States Patent and Trademark Office (USPTO) has granted a dozen patents for inventions related to methane dehydroaromatization processes. One of them was granted to UOP LLC (Des Plaines). It relates to a catalyst composition and preparation method. Two patents were granted to Conoco Phillips Company (Houston, TX). One was aimed at securing a process and operating conditions for methane aromatization. The other was aimed at securing a process that may be integrated with separation of wellhead fluids and blending of the aromatics produced from the gas with the crude. Nine patents were granted to ExxonMobil Chemical Patents Inc. (Houston, TX). Most of these were aimed at securing a dehydroaromatization process where methane-containing feedstock moves counter currently to a particulate catalyst. The coked catalyst is heated or regenerated either in the reactor, by cyclic operation, or in annex equipment, and returned to the reactor. The reactor effluent stream may be separated in its main components and used or recycled as needed. A brief summary of those inventions is presented in this review.

  12. Fluxes of methane between landfills and the atmosphere: Natural and engineered controls

    SciTech Connect (OSTI)

    Bogner, J.; Meadows, M.; Czepiel, P.

    1997-08-01

    Field measurement of landfill methane emissions indicates natural variability spanning more than 2 seven orders of magnitude, from approximately 0.0004 to more than 4000 g m{sub -2} day{sup -1}. This wide range reflects net emissions resulting from production (methanogenesis), consumption (methanotrophic oxidation), and gaseous transport processes. The determination of an {open_quotes}average{close_quotes} emission rate for a given field site requires sampling designs and statistical techniques which consider spatial and temporal variability. Moreover, particularly at sites with pumped gas recovery systems, it is possible for methanotrophic microorganisms in aerated cover soils to oxidize all of the methane from landfill sources below and, additionally, to oxidize methane diffusing into cover soils from atmospheric sources above. In such cases, a reversed soil gas concentration gradient is observed in shallow cover soils, indicating bidirectional diffusional transport to the depth of optimum methane oxidation. Rates of landfill methane oxidation from field and laboratory incubation studies range up to 166 g m{sup -2} day{sup -1} among the highest for any natural setting, providing an effective natural control on net emissions. Estimates of worldwide landfill methane emissions to the atmosphere have ranged from 9 to 70 Tg yr{sup -1}, differing mainly in assumed methane yields from estimated quantities of landfilled refuse. At highly controlled landfill sites in developed countries, landfill methane is often collected via vertical wells or horizontal collectors. Recovery of landfill methane through engineered systems can provide both environmental and energy benefits by mitigating subsurface migration, reducing surface emissions, and providing an alternative energy resource for industrial boiler use, on-site electrical generation, or upgrading to a substitute natural gas.

  13. Methane conversion to methanol

    SciTech Connect (OSTI)

    Noble, R.D.; Falconer, J.L.

    1992-06-01

    The objective of this research study is to demonstrate the effectiveness of a catalytic membrane reactor for the partial oxidation of methane. The specific goals are to demonstrate that we can improve product yield, demonstrate the optimal conditions for membrane reactor operation, determine the transport properties of the membrane, and provide demonstration of the process at the pilot plant scale. The last goal will be performed by Unocal, Inc., our industrial partner, upon successful completion of this study.

  14. Methane conversion to methanol

    SciTech Connect (OSTI)

    Noble, R.D.; Falconer, J.L.

    1992-01-01

    The objective of this research study is to demonstrate the effectiveness of a catalytic membrane reactor for the partial oxidation of methane. The specific goals are to demonstrate that we can improve product yield, demonstrate the optimal conditions for membrane reactor operation, determine the transport properties of the membrane, and provide demonstration of the process at the pilot plant scale. The last goal will be performed by Unocal, Inc., our industrial partner, upon successful completion of this study.

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

    SciTech Connect (OSTI)

    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.

  16. Coal Bed Methane Primer

    SciTech Connect (OSTI)

    Dan Arthur; Bruce Langhus; Jon Seekins

    2005-05-25

    During the second half of the 1990's Coal Bed Methane (CBM) production increased dramatically nationwide to represent a significant new source of income and natural gas for many independent and established producers. Matching these soaring production rates during this period was a heightened public awareness of environmental concerns. These concerns left unexplained and under-addressed have created a significant growth in public involvement generating literally thousands of unfocused project comments for various regional NEPA efforts resulting in the delayed development of public and fee lands. The accelerating interest in CBM development coupled to the growth in public involvement has prompted the conceptualization of this project for the development of a CBM Primer. The Primer is designed to serve as a summary document, which introduces and encapsulates information pertinent to the development of Coal Bed Methane (CBM), including focused discussions of coal deposits, methane as a natural formed gas, split mineral estates, development techniques, operational issues, producing methods, applicable regulatory frameworks, land and resource management, mitigation measures, preparation of project plans, data availability, Indian Trust issues and relevant environmental technologies. An important aspect of gaining access to federal, state, tribal, or fee lands involves education of a broad array of stakeholders, including land and mineral owners, regulators, conservationists, tribal governments, special interest groups, and numerous others that could be impacted by the development of coal bed methane. Perhaps the most crucial aspect of successfully developing CBM resources is stakeholder education. Currently, an inconsistent picture of CBM exists. There is a significant lack of understanding on the parts of nearly all stakeholders, including industry, government, special interest groups, and land owners. It is envisioned the Primer would being used by a variety of

  17. EIA - Greenhouse Gas Emissions - Methane Emissions

    Gasoline and Diesel Fuel Update

    3. Methane Emissions 3.1. Total emissions The major sources of U.S. methane emissions are energy production, distribution, and use; agriculture; and waste management (Figure 17). U.S. methane emissions in 2009 totaled 731 MMTCO2e, 0.9 percent higher than the 2008 total of 724 MMTCO2e (Table 17). Methane emissions declined steadily from 1990 to 2001, as emissions from coal mining and landfills fell, then rose from 2002 to 2009 as a result of moderate increases in emissions related to energy,

  18. 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

  19. 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

  20. Methane recovery from animal manures: A current opportunities casebook

    SciTech Connect (OSTI)

    Lusk, P.

    1994-12-01

    One manure management system provides not only pollution prevention but also converts a manure management problem into a new profit center. Economic evaluations and case studies of operating systems indicate that the anaerobic digestion of livestock manures is a commercially-available bioconversion technology with considerable potential for providing profitable co-products including a cost-effective renewable fuel for livestock production operations. This Casebook examines some of the current opportunities for the recovery of methane from the anaerobic digestion of animal manures. The economic evaluations are based on engineering studies of digesters that generate electricity from the recovered methane. Regression models, which can be used to estimate digester cost and internal rate of return, are developed from the evaluations. Finally, anaerobic digestion has considerable potential beyond agribusiness. Examples of digesters currently employed by other industries are provided.

  1. DOE/NETL Methane Hydrate Projects | netl.doe.gov

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

    Methane Hydrate Projects Active Projects | Completed Projects Active Methane Hydrate Projects Project Number Project Name Primary Performer DE-FE0023919 Deepwater Methane Hydrate Characterization and Scientific Assessment University of Texas at Austin DE-FE0025387 Support for Methane Hydrate Research on the Alaska North Slope Petrotechnical Resources of Alaska DE-FE0009897 Hydrate-Bearing Clayey Sediments: Morphology, Physical Properties, Production and Engineering/Geological Implications

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

    SciTech Connect (OSTI)

    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.

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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:

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

    U.S. 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

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

    U.S. 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:

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

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

    SciTech Connect (OSTI)

    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).

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

    DOE PAGES-Beta [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

  15. ,"U.S. Coalbed Methane Proved Reserves, Reserves Changes, and...

    U.S. Energy Information Administration (EIA) (indexed site)

    ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2013,"06301989"...

  16. Controlling Methane Emissions in the Natural Gas Sector: A Review...

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

    Controlling Methane Emissions in the Natural Gas Sector: A Review of Federal & State Regulatory Frameworks Governing Production, Processing, Transmission, and Distribution ...

  17. Table 16. Coalbed methane proved reserves, reserves changes,...

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed methane proved reserves, reserves changes, and production, 2014" "billion cubic feet" ,,"Changes in Reserves During 2014" ,"Published",,,..."New Reservoir" ...

  18. 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

  19. ARM - Methane Gas

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

    Methane Gas Outreach Home Room News Publications Traditional Knowledge Kiosks Barrow, Alaska Tropical Western Pacific Site Tours Contacts Students Study Hall About ARM Global Warming FAQ Just for Fun Meet our Friends Cool Sites Teachers Teachers' Toolbox Lesson Plans Methane Gas Methane gas is another naturally occurring greenhouse gas. It is produced as a result of microbial activity in the absence of oxygen. Pre-industrial concentrations of methane were about 700 ppb and in 1994 they were up

  20. Methane Hydrate Program

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

    FY 2011 Methane Hydrate Program Report to Congress July 2012 United States Department of Energy Washington, DC 20585 Department of Energy | July 2012 FY 2011 Methane Hydrate Program Report to Congress | Page ii Message from the Secretary Section 968 of the Energy Policy Act of 2005 requires the Department of Energy to submit to Congress an annual report on the results of methane hydrate research. I am pleased to submit the enclosed report entitled U.S. Department of Energy FY 2011 Methane

  1. 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.

  2. Heat pipe methanator

    DOE Patents [OSTI]

    Ranken, William A.; Kemme, Joseph E.

    1976-07-27

    A heat pipe methanator for converting coal gas to methane. Gravity return heat pipes are employed to remove the heat of reaction from the methanation promoting catalyst, transmitting a portion of this heat to an incoming gas pre-heat section and delivering the remainder to a steam generating heat exchanger.

  3. Dense ceramic membranes for methane conversion

    SciTech Connect (OSTI)

    Balachandran, U.; Mieville, R.L.; Ma, B.; Udovich, C.A.

    1996-05-01

    This report focuses on a mechanism for oxygen transport through mixed- oxide conductors as used in dense ceramic membrane reactors for the partial oxidation of methane to syngas (CO and H{sub 2}). The in-situ separation of O{sub 2} from air by the membrane reactor saves the costly cryogenic separation step that is required in conventional syngas production. The mixed oxide of choice is SrCo{sub 0.5}FeO{sub x}, which exhibits high oxygen permeability and has been shown in previous studies to possess high stability in both oxidizing and reducing conditions; in addition, it can be readily formed into reactor configurations such as tubes. An understanding of the electrical properties and the defect dynamics in this material is essential and will help us to find the optimal operating conditions for the conversion reactor. In this paper, we discuss the conductivities of the SrFeCo{sub 0.5}O{sub x} system that are dependent on temperature and partial pressure of oxygen. Based on the experimental results, a defect model is proposed to explain the electrical properties of this system. The oxygen permeability of SrFeCo{sub 0.5}O{sub x} is estimated by using conductivity data and is compared with that obtained from methane conversion reaction.

  4. NREL Advancements in Methane Conversion Lead to Cleaner Air, Useful Products (Fact Sheet), Highlights in Research & Development, NREL (National Renewable Energy Laboratory)

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

    Researchers at NREL leveraged the recent on-site development of gas fermentation capabilities and novel genetic tools to directly convert methane to lactic acid using an engineered methanotrophic bacterium. Key Result The results provide proof-of-concept data for a gas-to-liquids bioprocess that concurrently produces fuels and chemicals from methane. NREL researchers developed genetic tools to express heterologous genes in methanotrophic organisms, which have historically been difficult to

  5. Methane Hydrate | Department of Energy

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

    Methane Hydrate Methane Hydrate Types of Methane Hydrate Deposits Types of Methane Hydrate Deposits Methane hydrate is a cage-like lattice of ice inside of which are trapped molecules of methane, the chief constituent of natural gas. If methane hydrate is either warmed or depressurized, it will revert back to water and natural gas. When brought to the earth's surface, one cubic meter of gas hydrate releases 164 cubic meters of natural gas. Hydrate deposits may be several hundred meters thick and

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

    SciTech Connect (OSTI)

    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.

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

    U.S. 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

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

    U.S. 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

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

    U.S. 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

  10. 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

  11. Coalbed Methane (CBM) is natural

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

    Coalbed Methane (CBM) is natural gas found in coal deposits. It was once considered a nuisance and mine safety hazard, but today has become a valuable part of the U.S. energy portfolio. A major reason for this is resource characterization and the establishment of efficient recovery methods pioneered by Office of Fossil Energy (FE) research and development. CBM proved reserves and production have grown nearly every year since 1989. Today it accounts for 9 percent of total domestic natural gas

  12. Methane Hydrate Field Program

    SciTech Connect (OSTI)

    2013-12-31

    This final report document summarizes the activities undertaken and the output from three primary deliverables generated during this project. This fifteen month effort comprised numerous key steps including the creation of an international methane hydrate science team, determining and reporting the current state of marine methane hydrate research, convening an international workshop to collect the ideas needed to write a comprehensive Marine Methane Hydrate Field Research Plan and the development and publication of that plan. The following documents represent the primary deliverables of this project and are discussed in summary level detail in this final report. • Historical Methane Hydrate Project Review Report • Methane Hydrate Workshop Report • Topical Report: Marine Methane Hydrate Field Research Plan • Final Scientific/Technical Report

  13. Methane Hydrate Program

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

    Fiscal Year 2012 Methane Hydrate Program Report to Congress August 2013 United States Department of Energy Washington, DC 20585 Department of Energy | August 2013 Fiscal Year 2012 Methane Hydrate Program Report to Congress | Page ii Message from the Secretary Section 968 of the Energy Policy Act of 2005 requires the Department of Energy to submit to Congress an annual report on the actions taken to carry out methane hydrate research. I am pleased to submit the enclosed report, entitled U.S.

  14. Methane drainage with horizontal boreholes in advance of longwall mining: an analysis. Final report

    SciTech Connect (OSTI)

    Gabello, D.P.; Felts, L.L.; Hayoz, F.P.

    1981-05-01

    The US Department of Energy (DOE) Morgantown Energy Technology Center has implemented a comprehensive program to demonstrate the technical and economic viability of coalbed methane as an energy resource. The program is directed toward solution of technical and institutional problems impeding the recovery and use of large quantities of methane contained in the nation's minable and unminable coalbeds. Conducted in direct support of the DOE Methane Recovery from Coalbeds Project, this study analyzes the economic aspects of a horizontal borehole methane recovery system integrated as part of a longwall mine operation. It establishes relationships between methane selling price and annual mine production, methane production rate, and the methane drainage system capital investment. Results are encouraging, indicating that an annual coal production increase of approximately eight percent would offset all associated drainage costs over the range of methane production rates and capital investments considered.

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

    SciTech Connect (OSTI)

    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.

  16. Controlling Methane Emissions in the Natural Gas Sector: A Review of Federal & State Regulatory Frameworks Governing Production, Processing, Transmission, and Distribution

    Office of Energy Efficiency and Renewable Energy (EERE)

    This paper examines a broad range of regulatory drivers, barriers and opportunities that influence investment decisions related to methane emissions from natural gas systems. Federal and state regulators of the natural gas industry are increasingly taking steps to use their existing authorities to help minimize venting and leakage of methane from infrastructure. A few state agencies are now regulating methane emissions directly and the Obama Administration is implementing an interagency Strategy to Reduce Methane Emissions from a broad range of sources, including natural gas infrastructure. While many regulations are already in place to improve public safety, fuel conservation, air quality, natural gas deliverability and even climate protection, companies often are constrained in the investments that they are willing or able to make in infrastructure modernization. For this reason, economic regulators are also focusing on these issues; FERC recently approved a new policy to enable cost recovery for investments in natural gas facilities to improve safety and environmental performance while many states are implementing pipeline replacement programs.

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

    SciTech Connect (OSTI)

    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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  20. The future of methane

    SciTech Connect (OSTI)

    Howell, D.G.

    1995-12-31

    Natural gas, mainly methane, produces lower CO{sub 2}, CO, NO{sub x}, SO{sub 2} and particulate emissions than either oil or coal; thus further substitutions of methane for these fuels could help mitigate air pollution. Methane is, however, a potent greenhouse gas and the domestication of ruminants, cultivation of rice, mining of coal, drilling for oil, and transportation of natural gas have all contributed to a doubling of the amount of atmospheric methane since 1800. Today nearly 300,000 wells yearly produce ca. 21 trillion cubic feet of methane. Known reserves suggest about a 10 year supply at the above rates of recovery; and the potential for undiscovered resources is obscured by uncertainty involving price, new technologies, and environmental restrictions steming from the need to drill an enormous number of wells, many in ecologically sensitive areas. Until all these aspects of methane are better understood, its future role in the world`s energy mix will remain uncertain. The atomic simplicity of methane, composed of one carbon and four hydrogen atoms, may mask the complexity and importance of this, the most basic of organic molecules. Within the Earth, methane is produced through thermochemical alteration of organic materials, and by biochemical reactions mediated by metabolic processes of archaebacteria; some methane may even be primordial, a residue of planetary accretion. Methane also occurs in smaller volumes in landfills, rice paddies, termite complexes, ruminants, and even many humans. As an energy source, its full energy potential is controversial. Methane is touted by some as a viable bridge to future energy systems, fueled by the sun and uranium and carried by electricity and hydrogen.

  1. Methane production from marine biomass

    SciTech Connect (OSTI)

    Chynoweth, D. P.; Srivastava, V. J.

    1980-01-01

    The overall concept of the giant brown kelp farm and conversion system, the integrated research program engaged in its study, and IGT's work on biogasification process development are discussed. A summary of results to date on anaerobic digestion will be emphasized. (MHR)

  2. Methanation assembly using multiple reactors

    DOE Patents [OSTI]

    Jahnke, Fred C.; Parab, Sanjay C.

    2007-07-24

    A methanation assembly for use with a water supply and a gas supply containing gas to be methanated in which a reactor assembly has a plurality of methanation reactors each for methanating gas input to the assembly and a gas delivery and cooling assembly adapted to deliver gas from the gas supply to each of said methanation reactors and to combine water from the water supply with the output of each methanation reactor being conveyed to a next methanation reactor and carry the mixture to such next methanation reactor.

  3. Bioconversion of methane to lactate by an obligate methanotrophic bacterium

    DOE PAGES-Beta [OSTI]

    Henard, Calvin A.; Smith, Holly; Dowe, Nancy; Kalyuzhnaya, Marina G.; Pienkos, Philip T.; Guarnieri, Michael T.

    2016-02-23

    Methane is the second most abundant greenhouse gas (GHG), with nearly 60% of emissions derived from anthropogenic sources. Microbial conversion of methane to fuels and value-added chemicals offers a means to reduce GHG emissions, while also valorizing this otherwise squandered high-volume, high-energy gas. However, to date, advances in methane biocatalysis have been constrained by the low-productivity and limited genetic tractability of natural methane-consuming microbes. Here, leveraging recent identification of a novel, tractable methanotrophic bacterium, Methylomicrobium buryatense, we demonstrate microbial biocatalysis of methane to lactate, an industrial platform chemical. Heterologous overexpression of a Lactobacillus helveticus L-lactate dehydrogenase in M. buryatense resultedmore » in an initial titer of 0.06 g lactate/L from methane. Cultivation in a 5 L continuously stirred tank bioreactor enabled production of 0.8 g lactate/L, representing a 13-fold improvement compared to the initial titer. The yields (0.05 g lactate/g methane) and productivity (0.008 g lactate/L/h) indicate the need and opportunity for future strain improvement. Additionally, real-time analysis of methane utilization implicated gas-to-liquid transfer and/or microbial methane consumption as process limitations. This work opens the door to develop an array of methanotrophic bacterial strain-engineering strategies currently employed for biocatalytic sugar upgrading to “green” chemicals and fuels.« less

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

    SciTech Connect (OSTI)

    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

  5. 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

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  8. Controlling Methane Emissions in the Natural Gas Sector. A Review of Federal and State Regulatory Frameworks Governing Production, Gathering, Processing, Transmission, and Distribution

    SciTech Connect (OSTI)

    Paranhos, Elizabeth; Kozak, Tracy G.; Boyd, William; Bradbury, James; Steinberg, D. C.; Arent, D. J.

    2015-04-23

    This report provides an overview of the regulatory frameworks governing natural gas supply chain infrastructure siting, construction, operation, and maintenance. Information was drawn from a number of sources, including published analyses, government reports, in addition to relevant statutes, court decisions and regulatory language, as needed. The scope includes all onshore facilities that contribute to methane emissions from the natural gas sector, focusing on three areas of state and federal regulations: (1) natural gas pipeline infrastructure siting and transportation service (including gathering, transmission, and distribution pipelines), (2) natural gas pipeline safety, and (3) air emissions associated with the natural gas supply chain. In addition, the report identifies the incentives under current regulatory frameworks to invest in measures to reduce leakage, as well as the barriers facing investment in infrastructure improvement to reduce leakage. Policy recommendations regarding how federal or state authorities could regulate methane emissions are not provided; rather, existing frameworks are identified and some of the options for modifying existing regulations or adopting new regulations to reduce methane leakage are discussed.

  9. Enzymatic Oxidation of Methane

    SciTech Connect (OSTI)

    Sirajuddin, S; Rosenzweig, AC

    2015-04-14

    Methane monooxygenases (MMOs) are enzymes that catalyze the oxidation of methane to methanol in methanotrophic bacteria. As potential targets for new gas-to-liquid methane bioconversion processes, MMOs have attracted intense attention in recent years. There are two distinct types of MMO, a soluble, cytoplasmic MMO (sMMO) and a membrane-bound, particulate MMO (pMMO). Both oxidize methane at metal centers within a complex, multisubunit scaffold, but the structures, active sites, and chemical mechanisms are completely different. This Current Topic review article focuses on the overall architectures, active site structures, substrate reactivities, proteinprotein interactions, and chemical mechanisms of both MMOs, with an emphasis on fundamental aspects. In addition, recent advances, including new details of interactions between the sMMO components, characterization of sMMO intermediates, and progress toward understanding the pMMO metal centers are highlighted. The work summarized here provides a guide for those interested in exploiting MMOs for biotechnological applications.

  10. Methane Hydrate Advisory Committee Meeting Minutes | Department...

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

    Methane Hydrate Advisory Committee Meeting Minutes Methane Hydrate Advisory Committee Meeting Minutes Methane Hydrate Advisory Committee Meeting Minutes May 15, 2014 Washington, DC...

  11. Science on the Hill: Methane cloud hunting

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

    Methane cloud hunting Science on the Hill: Methane cloud hunting Los Alamos researchers go ... Science on the Hill: Methane cloud hunting When our team from Los Alamos National ...

  12. Methane Hydrate Program Reports | Department of Energy

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

    Program Reports Methane Hydrate Program Reports PDF icon Secretary of Energy Advisory Board Task Force Report on Methane Hydrate PDF icon FY14 Methane Hydrate Report to Congress ...

  13. ARM - Measurement - Methane concentration

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

    concentration 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 Measurement : Methane concentration The amount of methane, a greenhouse gas, per unit of volume. Categories Atmospheric Carbon Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including those

  14. ARM - Measurement - Methane flux

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

    flux 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 Measurement : Methane flux Vertical flux of methane near the surface due to turbulent transport. Categories Surface Properties, Atmospheric Carbon Instruments The above measurement is considered scientifically relevant for the following instruments. Refer to the datastream (netcdf) file headers of each instrument for a list of all available measurements, including

  15. Completed Methane Hydrate Projects

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

    Completed Methane Hydrate Projects Active Projects | Completed Projects Completed Methane Hydrate Projects Project Number Project Name Primary Performer DE-FE0002911 Natural Gas Hydrates in Permafrost and Marine Settings: Resources, Properties, and Environmental Issues U.S. Geological Survey at Woods Hole DE-FE0013565 Hydrate Evolution in Response to Ongoing Environmental Shifts University of Oregon DE-FE0013889 THCM Coupled Model for Hydrate-bearing Sediments: Data Analysis and Design of New

  16. Electrochemical methane sensor

    DOE Patents [OSTI]

    Zaromb, S.; Otagawa, T.; Stetter, J.R.

    1984-08-27

    A method and instrument including an electrochemical cell for the detection and measurement of methane in a gas by the oxidation of methane electrochemically at a working electrode in a nonaqueous electrolyte at a voltage about 1.4 volts vs R.H.E. (the reversible hydrogen electrode potential in the same electrolyte), and the measurement of the electrical signal resulting from the electrochemical oxidation.

  17. Potential Cost-Effective Opportunities for Methane Emission Abatement

    SciTech Connect (OSTI)

    Warner, Ethan; Steinberg, Daniel; Hodson, Elke; Heath, Garvin

    2015-08-01

    The energy sector was responsible for approximately 84% of carbon dioxide equivalent (CO2e) greenhouse gas (GHG) emissions in the U.S. in 2012 (EPA 2014a). Methane is the second most important GHG, contributing 9% of total U.S. CO2e emissions. A large portion of those methane emissions result from energy production and use; the natural gas, coal, and oil industries produce approximately 39% of anthropogenic methane emissions in the U.S. As a result, fossil-fuel systems have been consistently identified as high priority sectors to contribute to U.S. GHG reduction goals (White House 2015). Only two studies have recently attempted to quantify the abatement potential and cost associated with the breadth of opportunities to reduce GHG emissions within natural gas, oil, and coal supply chains in the United States, namely the U.S. Environmental Protection Agency (EPA) (2013a) and ICF (2014). EPA, in its 2013 analysis, estimated the marginal cost of abatement for non-CO2 GHG emissions from the natural gas, oil, and coal supply chains for multiple regions globally, including the United States. Building on this work, ICF International (ICF) (2014) provided an update and re-analysis of the potential opportunities in U.S. natural gas and oil systems. In this report we synthesize these previously published estimates as well as incorporate additional data provided by ICF to provide a comprehensive national analysis of methane abatement opportunities and their associated costs across the natural gas, oil, and coal supply chains. Results are presented as a suite of marginal abatement cost curves (MACCs), which depict the total potential and cost of reducing emissions through different abatement measures. We report results by sector (natural gas, oil, and coal) and by supply chain segment - production, gathering and boosting, processing, transmission and storage, or distribution - to facilitate identification of which sectors and supply chain

  18. Plasma catalytic reforming of methane

    SciTech Connect (OSTI)

    Bromberg, L.; Cohn, D.R.; Rabinovich, A.; Alexeev, N.

    1998-08-01

    Thermal plasma technology can be efficiently used in the production of hydrogen and hydrogen-rich gases from methane and a variety of fuels. This paper describes progress in plasma reforming experiments and calculations of high temperature conversion of methane using heterogeneous processes. The thermal plasma is a highly energetic state of matter that is characterized by extremely high temperatures (several thousand degrees Celsius) and high degree of dissociation and substantial degree of ionization. The high temperatures accelerate the reactions involved in the reforming process. Hydrogen-rich gas (50% H{sub 2}, 17% CO and 33% N{sub 2}, for partial oxidation/water shifting) can be efficiently made in compact plasma reformers. Experiments have been carried out in a small device (2--3 kW) and without the use of efficient heat regeneration. For partial oxidation/water shifting, it was determined that the specific energy consumption in the plasma reforming processes is 16 MJ/kg H{sub 2} with high conversion efficiencies. Larger plasmatrons, better reactor thermal insulation, efficient heat regeneration and improved plasma catalysis could also play a major role in specific energy consumption reduction and increasing the methane conversion. A system has been demonstrated for hydrogen production with low CO content ({approximately} 1.5%) with power densities of {approximately} 30 kW (H{sub 2} HHV)/liter of reactor, or {approximately} 10 m{sup 3}/hr H{sub 2} per liter of reactor. Power density should further increase with increased power and improved design.

  19. Methane activation using Kr and Xe in a dielectric barrier discharge reactor

    SciTech Connect (OSTI)

    Jo, Sungkwon; Lee, Dae Hoon Kim, Kwan-Tae; Kang, Woo Seok; Song, Young-Hoon

    2014-10-15

    Methane has interested many researchers as a possible new energy source, but the high stability of methane causes a bottleneck in methane activation, limiting its practical utilization. To determine how to effectively activate methane using non-thermal plasma, the conversion of methane is measured in a planar-type dielectric barrier discharge reactor using three different noble gases—Ar, Kr, and Xe—as additives. In addition to the methane conversion results at various applied voltages, the discharge characteristics such as electron temperature and electron density were calculated through zero-dimensional calculations. Moreover, the threshold energies of excitation and ionization were used to distinguish the dominant particle for activating methane between electrons, excited atoms, and ionized atoms. From the experiments and calculations, the selection of the additive noble gas is found to affect not only the conversion of methane but also the selectivity of product gases even under similar electron temperature and electron density conditions.

  20. U.S. and Japan Complete Successful Field Trial of Methane Hydrate

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

    Production Technologies | Department of Energy Japan Complete Successful Field Trial of Methane Hydrate Production Technologies U.S. and Japan Complete Successful Field Trial of Methane Hydrate Production Technologies May 2, 2012 - 10:40am Addthis WASHINGTON, DC - U.S. Energy Secretary Steven Chu announced today the completion of a successful, unprecedented test of technology in the North Slope of Alaska that was able to safely extract a steady flow of natural gas from methane hydrates - a

  1. Methane recovery from animal manures: A current opportunities casebook

    SciTech Connect (OSTI)

    1995-08-01

    This Casebook examines some of the current opportunities for the recovery of methane from the anaerobic digestion of animal manures US livestock operations currently employ four types of anaerobic digester technology: Slurry, plug flow, complete mix, and covered lagoon. An introduction to the engineering economies of these technologies is provided, and possible end-use applications for the methane gas generated by the digestion process are discussed. The economic evaluations are based on engineering studies of digesters that generate electricity from the recovered methane. Regression models, which can be used to estimate digester cost and internal rate of return, are developed from the evaluations.

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

    U.S. 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"

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

    U.S. 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

  4. Coalbed Methane | Department of Energy

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

    Coalbed Methane Coalbed Methane Coalbed methane is natural gas found in coal deposits. It was once considered a nuisance and mine safety hazard, but today has become a valuable part of the U.S. energy portfolio. A major reason for this is resource characterization and the establishment of efficient recovery methods pioneered by Office of Fossil Energy R&D. Fossil Energy Research Benefits - Coalbed Methane (920.32 KB) More Documents & Publications Before the Senate Energy and Natural

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

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

    Energy.gov (indexed) [DOE]

    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 ...

  9. Methane activation using noble gases in a dielectric barrier discharge reactor

    SciTech Connect (OSTI)

    Jo, Sungkwon; Hoon Lee, Dae; Seok Kang, Woo; Song, Young-Hoon

    2013-08-15

    The conversion of methane is measured in a planar-type dielectric barrier discharge reactor using three different noble gasesHe, Ne, and Aras additives. The empirical results obtained clearly indicate that methane activation is considerably affected by thy type of noble gas used. Through 0-D calculations, the discharge parameters inside the reactor, i.e., electron temperature and electron density, are estimated using experiment results. A comparison of the discharge characteristics and experimental results shows that the electron temperature is an important factor in achieving high methane activation and the mixture with Ar gas shows the highest methane conversion. These results are constructed using the mechanisms of energy and charge transfer from excited and ionized noble gas atoms to methane molecules, considering the number density of active atoms of noble gases. Finally, electron temperatures obtained for gas mixtures having different reactant compositions and concentrations are analyzed to estimate methane activation.

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

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    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.

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

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    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.

  12. Utah Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic

    U.S. Energy Information Administration (EIA) (indexed site)

    Feet) Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 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: Coalbed Methane New Field Discoveries Utah Coalbed Methane Proved Reserves, Reserves Changes, and Production

  13. Louisiana--North Coalbed Methane Proved Reserves (Billion Cubic...

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves (Billion Cubic Feet) Louisiana--North Coalbed Methane ... Coalbed Methane Proved Reserves as of Dec. 31 North Louisiana Coalbed Methane Proved ...

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

    Fuel Cell Technologies Publication and Product Library (EERE)

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

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

    SciTech Connect (OSTI)

    Not Available

    2009-09-01

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

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

    SciTech Connect (OSTI)

    none,

    2009-09-01

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

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

    Energy.gov (indexed) [DOE]

    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 ...

  18. Ownership questions can stymie development of coalbed methane

    SciTech Connect (OSTI)

    Counts, R.A. )

    1990-01-01

    Although the technology exists for commercial recovery of coalbed methane, production has been hindered because of the legal quandary as to ownership. The author discusses how claims to ownership of coalbed methane can and have been made by the coal owner or lessee, the oil and gas owner or lessee, the surface owner, or any combination thereof. The federal perspective on this question of ownership is described and several state rulings are assessed.

  19. GEOLOGIC SCREENING CRITERIA FOR SEQUESTRATION OF CO2 IN COAL: QUANTIFYING POTENTIAL OF THE BLACK WARRIOR COALBED METHANE FAIRWAY, ALABAMA

    SciTech Connect (OSTI)

    Jack C. Pashin; Richard E. Carroll; Richard H. Groshong Jr.; Dorothy E. Raymond; Marcella McIntyre; J. Wayne Payton

    2004-01-01

    Sequestration of CO{sub 2} in coal has potential benefits for reducing greenhouse gas emissions from the highly industrialized Carboniferous coal basins of North America and Europe and for enhancing coalbed methane recovery. Hence, enhanced coalbed methane recovery operations provide a basis for a market-based environmental solution in which the cost of sequestration is offset by the production and sale of natural gas. The Black Warrior foreland basin of west-central Alabama contains the only mature coalbed methane production fairway in eastern North America, and data from this basin provide an excellent basis for quantifying the carbon sequestration potential of coal and for identifying the geologic screening criteria required to select sites for the demonstration and commercialization of carbon sequestration technology. Coalbed methane reservoirs in the upper Pottsville Formation of the Black Warrior basin are extremely heterogeneous, and this heterogeneity must be considered to screen areas for the application of CO{sub 2} sequestration and enhanced coalbed methane recovery technology. Major screening factors include stratigraphy, geologic structure, geothermics, hydrogeology, coal quality, sorption capacity, technology, and infrastructure. Applying the screening model to the Black Warrior basin indicates that geologic structure, water chemistry, and the distribution of coal mines and reserves are the principal determinants of where CO{sub 2} can be sequestered. By comparison, coal thickness, temperature-pressure conditions, and coal quality are the key determinants of sequestration capacity and unswept coalbed methane resources. Results of this investigation indicate that the potential for CO{sub 2} sequestration and enhanced coalbed methane recovery in the Black Warrior basin is substantial and can result in significant reduction of greenhouse gas emissions while increasing natural gas reserves. Coal-fired power plants serving the Black Warrior basin in

  20. Project identification for methane reduction options

    SciTech Connect (OSTI)

    Kerr, T.

    1996-12-31

    This paper discusses efforts directed at reduction in emission of methane to the atmosphere. Methane is a potent greenhouse gas, which on a 20 year timeframe may present a similar problem to carbon dioxide. In addition, methane causes additional problems in the form of smog and its longer atmospheric lifetime. The author discusses strategies for reducing methane emission from several major sources. This includes landfill methane recovery, coalbed methane recovery, livestock methane reduction - in the form of ruminant methane reduction and manure methane recovery. The author presents examples of projects which have implemented these ideas, the economics of the projects, and additional gains which come from the projects.

  1. Assessment of microbial processes on gas production at radioactive low-level waste disposal sites

    SciTech Connect (OSTI)

    Weiss, A.J.; Tate, R.L. III; Colombo, P.

    1982-05-01

    Factors controlling gaseous emanations from low level radioactive waste disposal sites are assessed. Importance of gaseous fluxes of methane, carbon dioxide, and possible hydrogen from the site, stems from the inclusion of tritium and/or carbon-14 into the elemental composition of these compounds. In that the primary source of these gases is the biodegradation of organic components of the waste material, primary emphasis of the study involved an examination of the biochemical pathways producing methane, carbon dioxide, and hydrogen, and the environmental parameters controlling the activity of the microbial community involved. Initial examination of the data indicates that the ecosystem is anaerobic. As the result of the complexity of the pathway leading to methane production, factors such as substrate availability, which limit the initial reaction in the sequence, greatly affect the overall rate of methane evolution. Biochemical transformations of methane, hydrogen and carbon dioxide as they pass through the soil profile above the trench are discussed. Results of gas studies performed at three commercial low level radioactive waste disposal sites are reviewed. Methods used to obtain trench and soil gas samples are discussed. Estimates of rates of gas production and amounts released into the atmosphere (by the GASFLOW model) are evaluated. Tritium and carbon-14 gaseous compounds have been measured in these studies; tritiated methane is the major radionuclide species in all disposal trenches studied. The concentration of methane in a typical trench increases with the age of the trench, whereas the concentration of carbon dioxide is similar in all trenches.

  2. 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 ...

  3. 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 ...

  4. 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 ...

  5. TITAN'S TRANSPORT-DRIVEN METHANE CYCLE

    SciTech Connect (OSTI)

    Mitchell, Jonathan L.

    2012-09-10

    The mechanisms behind the occurrence of large cloud outbursts and precipitation on Titan have been disputed. A global- and annual-mean estimate of surface fluxes indicated only 1% of the insolation, or {approx}0.04 W m{sup -2}, is exchanged as sensible and/or latent fluxes. Since these fluxes are responsible for driving atmospheric convection, it has been argued that moist convection should be quite rare and precipitation even rarer, even if evaporation globally dominates the surface-atmosphere energy exchange. In contrast, climate simulations indicate substantial cloud formation and/or precipitation. We argue that the top-of-atmosphere (TOA) radiative imbalance is diagnostic of horizontal heat transport by Titan's atmosphere, and thus constrains the strength of the methane cycle. Simple calculations show the TOA radiative imbalance is {approx}0.5-1 W m{sup -2} in Titan's equatorial region, which implies 2-3 MW of latitudinal heat transport by the atmosphere. Our simulation of Titan's climate suggests this transport may occur primarily as latent heat, with net evaporation at the equator and net accumulation at higher latitudes. Thus, the methane cycle could be 10-20 times previous estimates. Opposing seasonal transport at solstices, compensation by sensible heat transport, and focusing of precipitation by large-scale dynamics could further enhance the local, instantaneous strength of Titan's methane cycle by a factor of several. A limited supply of surface liquids in regions of large surface radiative imbalance may throttle the methane cycle, and if so, we predict more frequent large storms over the lakes district during Titan's northern summer.

  6. 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.

  7. 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

  8. Methane/nitrogen separation process

    DOE Patents [OSTI]

    Baker, Richard W.; Lokhandwala, Kaaeid A.; Pinnau, Ingo; Segelke, Scott

    1997-01-01

    A membrane separation process for treating a gas stream containing methane and nitrogen, for example, natural gas. The separation process works by preferentially permeating methane and rejecting nitrogen. We have found that the process is able to meet natural gas pipeline specifications for nitrogen, with acceptably small methane loss, so long as the membrane can exhibit a methane/nitrogen selectivity of about 4, 5 or more. This selectivity can be achieved with some rubbery and super-glassy membranes at low temperatures. The process can also be used for separating ethylene from nitrogen.

  9. Methane/nitrogen separation process

    DOE Patents [OSTI]

    Baker, R.W.; Lokhandwala, K.A.; Pinnau, I.; Segelke, S.

    1997-09-23

    A membrane separation process is described for treating a gas stream containing methane and nitrogen, for example, natural gas. The separation process works by preferentially permeating methane and rejecting nitrogen. The authors have found that the process is able to meet natural gas pipeline specifications for nitrogen, with acceptably small methane loss, so long as the membrane can exhibit a methane/nitrogen selectivity of about 4, 5 or more. This selectivity can be achieved with some rubbery and super-glassy membranes at low temperatures. The process can also be used for separating ethylene from nitrogen. 11 figs.

  10. Dewatering of coalbed methane wells with hydraulic gas pump

    SciTech Connect (OSTI)

    Amani, M.; Juvkam-Wold, H.C.

    1995-12-31

    The coalbed methane industry has become an important source of natural gas production. Proper dewatering of coalbed methane (CBM) wells is the key to efficient gas production from these reservoirs. This paper presents the Hydraulic Gas Pump as a new alternative dewatering system for CBM wells. The Hydraulic Gas Pump (HGP) concept offers several operational advantages for CBM wells. Gas interference does not affect its operation. It resists solids damage by eliminating the lift mechanism and reducing the number of moving parts. The HGP has a flexible production rate and is suitable for all production phases of CBM wells. It can also be designed as a wireline retrievable system. We conclude that the Hydraulic Gas Pump is a suitable dewatering system for coalbed methane wells.

  11. Commodity chemicals from natural gas by methane chlorination

    SciTech Connect (OSTI)

    Che, S.C.; Minet, R.G.; Giacobbe, F.; Mullick, S.L.

    1987-01-01

    Ethylene and vinyl chloride monomer (VCM) can be produced from natural gas through methane chlorination by reacting methane and chlorine at 900/sup 0/C or higher. Experimental results indicate total ethylene equivalent yield from methane of 45%(wt) and marginal process economics. Fundamental kinetic modeling predicts improved C/sub 2/ yields of up to 70%(wt) at optimum reaction conditions. This optimum condition established the basis for the process design study to evaluate the potential for producing ethylene and VCM from natural gas. HCl by-product is recycled for economic viability. Using the Kel-Chlor process for recycling HCl, the proposed plant produces 27,200 TPA of C/sub 2/H/sub 4/ and 383,800 TPA of VCM. The Midwest is an ethylene consumption area requiring imports of ethylene derivatives from other regions. A methane chlorination plant located on a Midwestern natural gas pipeline network has a good commercial potential.

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

    SciTech Connect (OSTI)

    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.

  13. Methane Hydrate Advisory Committee Meeting Minutes | Department...

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

    2012 Houston, TX PDF icon July 26, 2012 Meeting Minutes More Documents & Publications Methane Hydrate Advisory Committee Meeting Minutes Methane Hydrate Advisory Committee Meeting...

  14. Methane Hydrate Advisory Committee Meeting Minutes | Department...

    Office of Environmental Management (EM)

    Washington, DC PDF icon July 16, 2013 Meeting Minutes More Documents & Publications Methane Hydrate Advisory Committee Meeting Minutes Methane Hydrate Advisory Committee Meeting...

  15. Methane Hydrate Advisory Committee Meeting Minutes | Department...

    Energy Savers

    DC PDF icon March 27-28, 2014, Meeting Minutes More Documents & Publications Methane Hydrate Advisory Committee Meeting Minutes, March 2010 Methane Hydrate Advisory...

  16. Methane Power Inc | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Power Inc Jump to: navigation, search Logo: Methane Power Inc. Name: Methane Power Inc. Address: 121 Edinburgh South Drive Place: Cary, NC Zip: 27511 Sector: Renewable Energy...

  17. Methane Hydrate Advisory Committee Meeting Minutes | Department...

    Energy.gov (indexed) [DOE]

    June 6th - 7th, 2013 Meeting Minutes More Documents & Publications Methane Hydrate Advisory Committee Meeting Minutes, June 6th-7th, 2013 Methane Hydrate Advisory Committee Meeting...

  18. Methane Hydrate Advisory Committee Charter | Department of Energy

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

    Charter Methane Hydrate Advisory Committee Charter Methane Hydrate Advisory Committee Charter Methane Hydrate Advisory Committee Charter (140.43 KB) More Documents & Publications Methane Hydrate Advisory Committee Meeting Minutes, March 2010 Methane Hydrate Advisory Committee Meeting Minutes, January

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

    SciTech Connect (OSTI)

    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 (OSTI)

    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 (OSTI)

    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. Investigations on catalyzed steam gasification of biomass. Appendix A. Feasibility study of methane production via catalytic gasification of 2000 tons of wood per day

    SciTech Connect (OSTI)

    Mudge, L.K.; Weber, S.L.; Mitchell, D.H.; Sealock, L.J. Jr.; Robertus, R.J.

    1981-01-01

    A study has been made of the economic feasibility of producing substitute natural gas (SNG) from wood via catalytic gasification with steam. The plant design in this study was developed from information on gasifier operation supplied by the Pacific Northwest Laboratory (PNL). The plant is designed to process 2000 tons per day of dry wood to SNG. Plant production is 21.6 MM scfd of SNG with a HHV of 956 Btu per scf. All process and support facilities necessary to convert wood to SNG are included. The plant location is Newport, Oregon. The capital cost for the plant is $95,115,000 - September, 1980 basis. Gas production costs which allow for return on capital have been calculated for various wood prices for both utility and private investor financing. For utility financing, the gas production costs are respectively $5.09, $5.56, $6.50, and $8.34 per MM Btu for wood costs of $5, $10, $20, and $40 per dry ton delivered to the plant at a moisture content of 49.50 wt %. For private investor financing, the corresponding product costs are $6.62, $7.11, $8.10, and $10.06 per MM Btu. The cost calculated by the utility financing method includes a return on equity of 15% and an interest rate of 10% on the debt. The private investor financing method, which is 100% equity financing, incorporates a discounted cash flow (DCF) return on equity of 12%. The thermal efficiency without taking an energy credit for by-product char is 58.3%.

  3. Towards a Computational Model of a Methane Producing Archaeum

    DOE PAGES-Beta [OSTI]

    Peterson, Joseph R.; Labhsetwar, Piyush; Ellermeier, Jeremy R.; Kohler, Petra R. A.; Jain, Ankur; Ha, Taekjip; Metcalf, William W.; Luthey-Schulten, Zaida

    2014-01-01

    Progress towards a complete model of the methanogenic archaeum Methanosarcina acetivorans is reported. We characterized size distribution of the cells using differential interference contrast microscopy, finding them to be ellipsoidal with mean length and width of 2.9  μ m and 2.3  μ m, respectively, when grown on methanol and 30% smaller when grown on acetate. We used the single molecule pull down (SiMPull) technique to measure average copy number of the Mcr complex and ribosomes. A kinetic model for the methanogenesis pathways based on biochemical studies and recent metabolic reconstructions for several related methanogens is presented. In this model,more » 26 reactions in the methanogenesis pathways are coupled to a cell mass production reaction that updates enzyme concentrations. RNA expression data (RNA-seq) measured for cell cultures grown on acetate and methanol is used to estimate relative protein production per mole of ATP consumed. The model captures the experimentally observed methane production rates for cells growing on methanol and is most sensitive to the number of methyl-coenzyme-M reductase (Mcr) and methyl-tetrahydromethanopterin:coenzyme-M methyltransferase (Mtr) proteins. A draft transcriptional regulation network based on known interactions is proposed which we intend to integrate with the kinetic model to allow dynamic regulation.« less

  4. Expression of barley SUSIBA2 transcription factor yields high-starch low-methane rice

    SciTech Connect (OSTI)

    Su, J.; Hu, C.; Yan, X.; Jin, Y.; Chen, Z.; Guan, Q.; Wang, Y.; Zhong, D.; Jansson, Georg C.; Wang, F.; Schnrer, Anna; Sun, Chuanxin

    2015-07-22

    Atmospheric methane is the second most important greenhouse gas after carbon dioxide, and is responsible for about 20% of the global warming effect since pre-industrial times. Rice paddies are the largest anthropogenic methane source and produce 7–17% of atmospheric methane. Warm waterlogged soil and exuded nutrients from rice roots provide ideal conditions for methanogenesis in paddies with annual methane emissions of 25–100-million tonnes. This scenario will be exacerbated by an expansion in rice cultivation needed to meet the escalating demand for food in the coming decades4. There is an urgent need to establish sustainable technologies for increasing rice production while reducing methane fluxes from rice paddies. However, ongoing efforts for methane mitigation in rice paddies are mainly based on farming practices and measures that are difficult to implement5. Despite proposed strategies to increase rice productivity and reduce methane emissions4,6, no high-starch low-methane-emission rice has been developed. Here we show that the addition of a single transcription factor gene, barley SUSIBA2, conferred a shift of carbon flux to SUSIBA2 rice, favouring the allocation of photosynthates to aboveground biomass over allocation to roots. The altered allocation resulted in an increased biomass and starch content in the seeds and stems, and suppressed methanogenesis, possibly through a reduction in root exudates. Three-year field trials in China demonstrated that the cultivation of SUSIBA2 rice was associated with a significant reduction in methane emissions and a decrease in rhizospheric methanogen levels. SUSIBA2 rice offers a sustainable means of providing increased starch content for food production while reducing greenhouse gas emissions from rice cultivation. Approaches to increase rice productivity and reduce methane emissions as seen in SUSIBA2 rice may be particularly beneficial in a future climate with rising temperatures resulting in increased methane

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  7. Methanation of gas streams containing carbon monoxide and hydrogen

    DOE Patents [OSTI]

    Frost, Albert C.

    1983-01-01

    Carbon monoxide-containing gas streams having a relatively high concentration of hydrogen are pretreated so as to remove the hydrogen in a recoverable form for use in the second step of a cyclic, essentially two-step process for the production of methane. The thus-treated streams are then passed over a catalyst to deposit a surface layer of active surface carbon thereon essentially without the formation of inactive coke. This active carbon is reacted with said hydrogen removed from the feed gas stream to form methane. The utilization of the CO in the feed gas stream is appreciably increased, enhancing the overall process for the production of relatively pure, low-cost methane from CO-containing waste gas streams.

  8. Methane Stakeholder Roundtables | Department of Energy

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

    Methane Stakeholder Roundtables Methane Stakeholder Roundtables April 24, 2014 - 3:00pm Addthis Methane Stakeholder Roundtables Advancing the Interagency Methane Strategy As directed by President Obama in his Climate Action Plan, the Department of Energy (DOE) collaborated with other Federal agencies to develop a Strategy to Reduce Methane Emissions, which was formally announced by the White House last month. To advance this strategy, DOE is now working with other Federal agencies and the White

  9. methane hydrates | netl.doe.gov

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

    methane hydrates methane-hydrates.jpg Maintaining a focused vision on what's next is one trait that makes NETL a lab of the future, and methane hydrates are one "cool" part of that vision. Found in Arctic and deep-water marine environments, methane hydrates are an untapped abundant source of natural gas. A hydrate comprises a crystal structure in which frozen water creates a cage that traps molecules of primarily methane (natural gas). NETL researchers are exploring and developing

  10. Science on the Hill: Methane cloud hunting

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

    Methane cloud hunting Methane cloud hunting Los Alamos researchers go hunting for methane gas over the Four Corners area of northwest New Mexico and find a strange daily pattern. July 12, 2015 methane map Methane, the primary component of natural gas, is also a potent greenhouse gas, trapping energy in the atmosphere. Last year NASA released satellite images showing a hot spot in the area where New Mexico, Colorado, Utah and Arizona meet, prompting scientists to go in search of the sources.

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

    DOE PAGES-Beta [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

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

    SciTech Connect (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 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.

  13. Methane Hydrate Advisory Committee Meeting

    Energy.gov (indexed) [DOE]

    Methane Hydrate Advisory Committee Meeting May 15, 2014 11:00am - 12:30pm (EDT) Public Access U.S. Department of Energy Forrestal Building, Room 3G-043 1000 Independence Ave., SW...

  14. May 15, 2014 Methane Hydrates Committee Meeting Agenda | Department...

    Office of Environmental Management (EM)

    May 15, 2014 Methane Hydrates Committee Meeting Agenda May 15, 2014 Methane Hydrates Committee Meeting Agenda May 15, 2014 Methane Hydrates Committee Meeting Agenda PDF icon...

  15. Methane Hydrate Advisory Committee Meeting Minutes, March 2010...

    Energy Savers

    March 2010 Methane Hydrate Advisory Committee Meeting Minutes, March 2010 Methane Hydrate Advisory Committee Meeting Minutes March 2010 Washington, DC PDF icon Methane Hydrate...

  16. Methane Hydrate Advisory Committee Meeting Minutes, January 2010...

    Energy.gov (indexed) [DOE]

    0 Atlanta, GA Methane Hydrate Advisory Committee Meeting Minutes, January 2010 More Documents & Publications Methane Hydrate Advisory Committee Meeting Minutes, March 2010 Methane...

  17. Methane Hydrate Advisory Committee Meeting Minutes, June 6th...

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

    Methane Hydrate Advisory Committee Meeting Minutes, June 6th-7th, 2013 Methane Hydrate Advisory Committee Meeting Minutes, June 6th-7th, 2013 Methane Hydrate Advisory Committee...

  18. Metro Methane Recovery Facility Biomass Facility | Open Energy...

    Open Energy Information (Open El) [EERE & EIA]

    Methane Recovery Facility Biomass Facility Jump to: navigation, search Name Metro Methane Recovery Facility Biomass Facility Facility Metro Methane Recovery Facility Sector Biomass...

  19. Methane Hydrates and Climate Change | Department of Energy

    Energy Savers

    Hydrates and Climate Change Methane Hydrates and Climate Change Methane hydrates store huge volumes of methane formed by the bacterial decay of organic matter or leaked from ...

  20. New Mexico Coalbed Methane Proved Reserves (Billion Cubic Feet...

    Annual Energy Outlook

    Proved Reserves (Billion Cubic Feet) New Mexico Coalbed Methane Proved Reserves (Billion ... Coalbed Methane Proved Reserves as of Dec. 31 New Mexico Coalbed Methane Proved Reserves, ...

  1. Methane Hydrate Research and Development Act of 2000 | Department...

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

    Research and Development Act of 2000 Methane Hydrate Research and Development Act of 2000 Methane Hydrate Research and Development Act of 2000 PDF icon Methane Hydrate Research and ...

  2. North Dakota Coalbed Methane Proved Reserves (Billion Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    North Dakota Coalbed Methane Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 ... Coalbed Methane Proved Reserves as of Dec. 31 North Dakota Coalbed Methane Proved ...

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

    SciTech Connect (OSTI)

    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).

  4. Enhanced Anaerobic Digestion and Hydrocarbon Precursor Production...

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

    ... to 7 days to minimize the biogas production. Summary Renewable Methane Production We developed a novel process using biochar for producing biomethane at pipeline quality ...

  5. Methanation process utilizing split cold gas recycle

    DOE Patents [OSTI]

    Tajbl, Daniel G.; Lee, Bernard S.; Schora, Jr., Frank C.; Lam, Henry W.

    1976-07-06

    In the methanation of feed gas comprising carbon monoxide and hydrogen in multiple stages, the feed gas, cold recycle gas and hot product gas is mixed in such proportions that the mixture is at a temperature sufficiently high to avoid carbonyl formation and to initiate the reaction and, so that upon complete reaction of the carbon monoxide and hydrogen, an excessive adiabatic temperature will not be reached. Catalyst damage by high or low temperatures is thereby avoided with a process that utilizes extraordinarily low recycle ratios and a minimum of investment in operating costs.

  6. Microbial conversion of biomass to methane

    SciTech Connect (OSTI)

    Chynoweth, D.P.

    1981-01-01

    Laboratory studies have investigated the anaerobic digestion of a variety of feedstocks including sea kelp, water hyacinth, terrestrial herbaceous and woody plants, sewage sludge, municipal solid waste, and biomass-organic waste blends. The results of these and other studies are used to illustrate key factors which influence methane production rates and yields, including feed organic composition, nutrients, inoculum, temperature, retention time, feed concentration, particle size, and mixing. A new process recently developed which combines biological and thermal operations for conversion of biomass to substitute natural gas is described.

  7. Methane Hydrate Program

    Energy.gov (indexed) [DOE]

    ... at http:www.netl.doe.govresearchoil-and- gasmethane-hydrates. ... alternative methods of extraction and the potential for ... while hydrate in marine sands is estimated to contain ...

  8. Energy Production from Zoo Animal Wastes

    SciTech Connect (OSTI)

    Klasson, KT

    2003-04-07

    Elephant and rhinoceros dung was used to investigate the feasibility of generating methane from the dung. The Knoxville Zoo produces 30 cubic yards (23 m{sup 3}) of herbivore dung per week and cost of disposal of this dung is $105/week. The majority of this dung originates from the Zoo's elephant and rhinoceros population. The estimated weight of the dung is 20 metric tons per week and the methane production potential determined in experiments was 0.033 L biogas/g dung (0.020 L CH{sub 4}/g dung), and the digestion of elephant dung was enhanced by the addition of ammonium nitrogen. Digestion was better overall at 37 C when compared to digestion at 50 C. Based on the amount of dung generated at the Knoxville Zoo, it is estimated that two standard garden grills could be operated 24 h per day using the gas from a digester treating 20 metric ton herbivore dung per week.

  9. Methane emissions from rice fields: The effects of climatic and agricultural factors. Final report, March 1, 1994--April 30, 1997

    SciTech Connect (OSTI)

    Khalil, M.A.K.; Rasmussen, R.A.

    1997-10-01

    The work reported was performed for the purpose of refining estimates of methane emissions from rice fields. Research performed included methane flux measurements, evaluation of variables affecting emissions, compilation of a data base, and continental background measurements in China. The key findings are briefly described in this report. Total methane emissions, seasonal patterns, and spatial variability were measured for a 7-year periods. Temperature was found to be the most important variable studies affecting methane emissions. The data archives for the research are included in the report. 5 refs., 6 figs.

  10. Methane Hydrate Annual Reports | Department of Energy

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

    Annual Reports Methane Hydrate Annual Reports Section 968 of the Energy Policy Act of 2005 requires the Department of Energy to submit to Congress an annual report on the results of Methane Hydrate research. Listed are the Annual Reports per Fiscal Year. FY 14 Methane Hydrate Program Report to Congress (10.92 MB) FY 13 Methane Hydrates Annual Report to Congress (960.13 KB) FY 12 Methane Hydrates Annual Report to Congress (1.09 MB) FY 11 Methane Hydrates Annual Report to Congress (953.09 KB) FY

  11. Methane Hydrate Reservoir Simulator Code Comparison Study

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

    Annual Reports Methane Hydrate Annual Reports Section 968 of the Energy Policy Act of 2005 requires the Department of Energy to submit to Congress an annual report on the results of Methane Hydrate research. Listed are the Annual Reports per Fiscal Year. FY 14 Methane Hydrate Program Report to Congress (10.92 MB) FY 13 Methane Hydrates Annual Report to Congress (960.13 KB) FY 12 Methane Hydrates Annual Report to Congress (1.09 MB) FY 11 Methane Hydrates Annual Report to Congress (953.09 KB) FY

  12. ISOTOPIC RATIOS IN TITAN's METHANE: MEASUREMENTS AND MODELING

    SciTech Connect (OSTI)

    Nixon, C. A.; Achterberg, R. K.; Temelso, B.; Vinatier, S.; Bezard, B.; Coustenis, A.; Teanby, N. A.; Mandt, K. E.; Sherrill, C. D.; Irwin, P. G. J.; Jennings, D. E.; Romani, P. N.; Flasar, F. M.

    2012-04-20

    The existence of methane in Titan's atmosphere ({approx}6% level at the surface) presents a unique enigma, as photochemical models predict that the current inventory will be entirely depleted by photochemistry in a timescale of {approx}20 Myr. In this paper, we examine the clues available from isotopic ratios ({sup 12}C/{sup 13}C and D/H) in Titan's methane as to the past atmosphere history of this species. We first analyze recent infrared spectra of CH{sub 4} collected by the Cassini Composite Infrared Spectrometer, measuring simultaneously for the first time the abundances of all three detected minor isotopologues: {sup 13}CH{sub 4}, {sup 12}CH{sub 3}D, and {sup 13}CH{sub 3}D. From these we compute estimates of {sup 12}C/{sup 13}C = 86.5 {+-} 8.2 and D/H = (1.59 {+-} 0.33) Multiplication-Sign 10{sup -4}, in agreement with recent results from the Huygens GCMS and Cassini INMS instruments. We also use the transition state theory to estimate the fractionation that occurs in carbon and hydrogen during a critical reaction that plays a key role in the chemical depletion of Titan's methane: CH{sub 4} + C{sub 2}H {yields} CH{sub 3} + C{sub 2}H{sub 2}. Using these new measurements and predictions we proceed to model the time evolution of {sup 12}C/{sup 13}C and D/H in Titan's methane under several prototypical replenishment scenarios. In our Model 1 (no resupply of CH{sub 4}), we find that the present-day {sup 12}C/{sup 13}C implies that the CH{sub 4} entered the atmosphere 60-1600 Myr ago if methane is depleted by chemistry and photolysis alone, but much more recently-most likely less than 10 Myr ago-if hydrodynamic escape is also occurring. On the other hand, if methane has been continuously supplied at the replenishment rate then the isotopic ratios provide no constraints, and likewise for the case where atmospheric methane is increasing. We conclude by discussing how these findings may be combined with other evidence to constrain the overall history of the atmospheric

  13. Methane production using resin-wafer electrodeionization

    DOE Patents [OSTI]

    Snyder, Seth W; Lin, YuPo; Urgun-Demirtas, Meltem

    2014-03-25

    The present invention provides an efficient method for creating natural gas including the anaerobic digestion of biomass to form biogas, and the electrodeionization of biogas to form natural gas and carbon dioxide using a resin-wafer deionization (RW-EDI) system. The method may be further modified to include a wastewater treatment system and can include a chemical conditioning/dewatering system after the anaerobic digestion system. The RW-EDI system, which includes a cathode and an anode, can either comprise at least one pair of wafers, each a basic and acidic wafer, or at least one wafer comprising of a basic portion and an acidic portion. A final embodiment of the RW-EDI system can include only one basic wafer for creating natural gas.

  14. Michigan Coalbed Methane Production (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2010's 0 472 0 0 0

    Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1990's 13,642 12,927 9,184 7,258 2000's 7,309 6,931 7,662 6,817 7,357 6,989 6,588 6,887 6,588 5,730 2010's 5,595 3,965 3,992 4,147 3,819 3,049 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 10/31/2016 Next Release Date: 11/30/2016

  15. Lease Condensate Estimated Production

    U.S. 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

  16. State-of-the-art in coalbed methane drilling fluids

    SciTech Connect (OSTI)

    Baltoiu, L.V.; Warren, B.K.; Natras, T.A.

    2008-09-15

    The production of methane from wet coalbeds is often associated with the production of significant amounts of water. While producing water is necessary to desorb the methane from the coal, the damage from the drilling fluids used is difficult to assess, because the gas production follows weeks to months after the well is drilled. Commonly asked questions include the following: What are the important parameters for drilling an organic reservoir rock that is both the source and the trap for the methane? Has the drilling fluid affected the gas production? Are the cleats plugged? Does the 'filtercake' have an impact on the flow of water and gas? Are stimulation techniques compatible with the drilling fluids used? This paper describes the development of a unique drilling fluid to drill coalbed methane wells with a special emphasis on horizontal applications. The fluid design incorporates products to match the delicate surface chemistry on the coal, a matting system to provide both borehole stability and minimize fluid losses to the cleats, and a breaker method of removing the matting system once drilling is completed. This paper also discusses how coal geology impacts drilling planning, drilling practices, the choice of drilling fluid, and completion/stimulation techniques for Upper Cretaceous Mannville-type coals drilled within the Western Canadian Sedimentary Basin. A focus on horizontal coalbed methane (CBM) wells is presented. Field results from three horizontal wells are discussed, two of which were drilled with the new drilling fluid system. The wells demonstrated exceptional stability in coal for lengths to 1000 m, controlled drilling rates and ease of running slotted liners. Methods for, and results of, placing the breaker in the horizontal wells are covered in depth.

  17. METHANE HYDRATE ADVISORY COMMITTEE U.S. Department of Energy

    Energy.gov (indexed) [DOE]

    METHANE HYDRATE ADVISORY COMMITTEE U.S. Department of Energy Advisory Committee Charter - - - - ---- ---- ------ 1. Committee's Official Designation. Methane Hydrate Advisory...

  18. Quantification of the Potential Gross Economic Impacts of Five Methane Reduction Scenarios

    Office of Energy Efficiency and Renewable Energy (EERE)

    This study assessed five potential methane reduction scenarios from natural gas transmission, storage, and distribution (TS&D) infrastructure using published literature on the costs and the estimated quantity of methane reduced. The results show that implementation of these five measures could support approximately 85,000 jobs annually from 2015 to 2019 and reduce CH4 emissions from natural gas TS&D by over 40%. Based on standard input/output analysis methodology, measures are estimated to support over $8 billion in GDP annually over the same time period and allow producers to recover approximately $912 million annually in captured gas. Mitigation of methane emission reductions through repair, replacement and new technologies are found to support economic development and jobs. The study also found that a portfolio approach to infrastructure modernization may be appropriate to meaningfully improve safety, maintain or create high levels of employment, and significant losses of methane from across TS&D segments of natural gas systems.

  19. Mitigation options for methane emissions from rice fields in the Philippines

    SciTech Connect (OSTI)

    Lantin, R.S.; Buendia, L.V.; Wassmann, R.

    1996-12-31

    The contribution of Philippine rice production to global methane emission and breakthroughs in methane emission studies conducted in the country are presented in this paper. A significant impact in the reduction of GHG emissions from agriculture can be achieved if methane emissions from ricefields can be abated. This study presents the contribution of Philippine rice cultivation to global methane emission and breakthroughs in methane emission studies in the country which address the issue of mitigation. Using the derived emission factors from local measurements, rice cultivation contributes 566.6 Gg of methane emission in the Philippines. This value is 62% of the total methane emitted from the agriculture sector. The emission factors employed which are 78% of the IPCC value for irrigated rice and 95% for rainfed rice were derived from measurements with an automatic system taken during the growth duration in the respective ecosystems. Plots drained for 2 weeks at midtillering and before harvest gave a significant reduction in methane emission as opposed to continuously flooded plots and plots drained before harvest. The cultivar Magat reduced methane emission by 50% as compared to the check variety IR72. The application of ammonium sulfate instead of urea reduced methane emission by 10% to 34%. Addition of 6 t ha{sup {minus}1} phosphogypsum in combination with urea reduced emission by 74% as opposed to plots applied with urea alone. It is also from the results of such measurements that abatement strategies are based as regards to modifying treatments such as water management, fertilization, and choice of rice variety. It is not easy to identify and recommend mitigation strategies that will fit a particular cropping system. However, the identified mitigation options provide focus for the abatement of methane emission from ricefields.

  20. Geochemistry of clathrate-derived methane in Arctic Ocean waters

    SciTech Connect (OSTI)

    Elliott, S.M.; Reagan, M.T.; Moridis, G.J.; Cameron-Smith, P.J.

    2010-03-15

    Alterations to the composition of seawater are estimated for microbial oxidation of methane from large polar clathrate destabilizations, which may arise in the coming century. Gas fluxes are taken from porous flow models of warming Arctic sediment. Plume spread parameters are then used to bracket the volume of dilution. Consumption stoichiometries for the marine methanotrophs are based on growth efficiency and elemental/enzyme composition data. The nutritional demand implied by extra CH{sub 4} removal is compared with supply in various high latitude water masses. For emissions sized to fit the shelf break, reaction potential begins at one hundred micromolar and falls to order ten a thousand kilometers downstream. Oxygen loss and carbon dioxide production are sufficient respectively to hypoxify and acidify poorly ventilated basins. Nitrogen and the monooxygenase transition metals may be depleted in some locations as well. Deprivation is implied relative to existing ecosystems, along with dispersal of the excess dissolved gas. Physical uncertainties are inherent in the clathrate abundance, patch size, outflow buoyancy and mixing rate. Microbial ecology is even less defined but may involve nutrient recycling and anaerobic oxidizers.

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

    SciTech Connect (OSTI)

    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.

  2. File:Methane.pdf | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    Methane.pdf Jump to: navigation, search File File history File usage File:Methane.pdf Size of this preview: 448 600 pixels. Go to page 1 2 3 4 5 Go next page next page ...

  3. Methane Gas Conversion Property Tax Exemption

    Office of Energy Efficiency and Renewable Energy (EERE)

    Under Iowa's methane gas conversion property tax exemption, real and personal property used to decompose waste and convert the waste to gas, collect the methane or other gases, convert the gas to...

  4. Miscellaneous States Coalbed Methane Proved Reserves (Billion...

    U.S. Energy Information Administration (EIA) (indexed site)

    Coalbed Methane Proved Reserves (Billion Cubic Feet) Miscellaneous States Coalbed Methane Proved Reserves (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 ...

  5. Assessment of the methane oxidation capacity of compacted soils intended for use as landfill cover materials

    SciTech Connect (OSTI)

    Rachor, Ingke; Gebert, Julia; Groengroeft, Alexander; Pfeiffer, Eva-Maria

    2011-05-15

    and diffusive ingress of atmospheric air. For one material with elevated levels of fine particles and high organic matter content, methane production impeded the quantification of methane oxidation potentials. Regarding the design of landfill cover layers it was concluded that the magnitude of the expected methane load, the texture and expected compaction of the cover material are key variables that need to be known. Based on these, a column study can serve as an appropriate testing system to determine the methane oxidation capacity of a soil intended as landfill cover material.

  6. Method for the photocatalytic conversion of methane

    DOE Patents [OSTI]

    Noceti, R.P.; Taylor, C.E.; D`Este, J.R.

    1998-02-24

    A method for converting methane to methanol is provided comprising subjecting the methane to visible light in the presence of a catalyst and an electron transfer agent. Another embodiment of the invention provides for a method for reacting methane and water to produce methanol and hydrogen comprising preparing a fluid containing methane, an electron transfer agent and a photolysis catalyst, and subjecting said fluid to visible light for an effective period of time. 3 figs.

  7. Method for the photocatalytic conversion of methane

    DOE Patents [OSTI]

    Noceti, Richard P.; Taylor, Charles E.; D'Este, Joseph R.

    1998-01-01

    A method for converting methane to methanol is provided comprising subjecting the methane to visible light in the presence of a catalyst and an electron transfer agent. Another embodiment of the invention provides for a method for reacting methane and water to produce methanol and hydrogen comprising preparing a fluid containing methane, an electron transfer agent and a photolysis catalyst, and subjecting said fluid to visible light for an effective period of time.

  8. Thermal Conversion of Methane to Acetylene Final Report

    SciTech Connect (OSTI)

    Fincke, J.R.; Anderson, R.P.; Hyde, T.; Wright, R.; Bewley, R.; Haggard, D.C.; Swank, W.D.

    2000-01-31

    This report describes the experimental demonstration of a process for the direct thermal conversion of methane to acetylene. The process utilizes a thermal plasma heat source to dissociation products react to form a mixture of acetylene and hydrogen. The use of a supersonic expansion of the hot gas is investigated as a method of rapidly cooling (quenching) the product stream to prevent further reaction or thermal decomposition of the acetylene which can lower the overall efficiency of the process.

  9. IN-SITU SAMPLING AND CHARACTERIZATION OF NATURALLY OCCURRING MARINE METHANE HYDRATE USING THE D/V JOIDES RESOLUTION

    SciTech Connect (OSTI)

    Frank R. Rack; Tim Francis; Peter Schultheiss; Philip E. Long; Barry M. Freifeld

    2005-04-01

    The primary activities accomplished during this quarter were continued efforts to develop plans for Phase 2 of this cooperative agreement based on the evolving operational planning for IODP Expedition 311, which will use the JOIDES Resolution to study marine methane hydrates along the Cascadia margin, offshore Vancouver Island. IODP Expedition 311 has been designed to further constrain the models for the formation of marine gas hydrate in subduction zone accretionary prisms. The objectives include characterizing the deep origin of the methane, its upward transport, its incorporation in gas hydrate, and its subsequent loss to the seafloor. The main attention of this expedition is on the widespread seafloor-parallel layer of dispersed gas hydrate located just above the base of the predicted stability field. In a gas hydrate formation model, methane is carried upward through regional sediment or small-scale fracture permeability, driven by the tectonic consolidation of the accretionary prism. The upward moving methane is incorporated into the gas hydrate clathrate as it enters the methane hydrate stability zone. Also important is the focusing of a portion of the upward methane flux into localized plumes or channels to form concentrations of near-seafloor gas hydrate. The amount of gas hydrate in local concentrations near the seafloor is especially important for understanding the response of marine gas hydrate to climate change. The expedition includes coring and downhole measurements at five sites across the Northern Cascadia accretionary prism. The sites will track the history of methane in an accretionary prism from (1) its production by mainly microbiological processes over a thick sediment vertical extent, (2) its upward transport through regional or locally focused fluid flow, (3) its incorporation in the regional hydrate layer above the BSR or in local concentrations at or near the seafloor, (4) methane loss from the hydrate by upward diffusion, and (5) methane

  10. 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 (OSTI)

    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.

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

    U.S. 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

  12. New Natural Gas Storage and Transportation Capabilities Utilizing Rapid Methane Hydrate Formation Techniques

    SciTech Connect (OSTI)

    Brown, T.D.; Taylor, C.E.; Bernardo, M.

    2010-01-01

    Natural gas (methane as the major component) is a vital fossil fuel for the United States and around the world. One of the problems with some of this natural gas is that it is in remote areas where there is little or no local use for the gas. Nearly 50 percent worldwide natural gas reserves of ~6,254.4 trillion ft3 (tcf) is considered as stranded gas, with 36 percent or ~86 tcf of the U.S natural gas reserves totaling ~239 tcf, as stranded gas [1] [2]. The worldwide total does not include the new estimates by U.S. Geological Survey of 1,669 tcf of natural gas north of the Arctic Circle, [3] and the U.S. ~200,000 tcf of natural gas or methane hydrates, most of which are stranded gas reserves. Domestically and globally there is a need for newer and more economic storage, transportation and processing capabilities to deliver the natural gas to markets. In order to bring this resource to market, one of several expensive methods must be used: 1. Construction and operation of a natural gas pipeline 2. Construction of a storage and compression facility to compress the natural gas (CNG) at 3,000 to 3,600 psi, increasing its energy density to a point where it is more economical to ship, or 3. Construction of a cryogenic liquefaction facility to produce LNG, (requiring cryogenic temperatures at <-161 °C) and construction of a cryogenic receiving port. Each of these options for the transport requires large capital investment along with elaborate safety systems. The Department of Energy's Office of Research and Development Laboratories at the National Energy Technology Laboratory (NETL) is investigating new and novel approaches for rapid and continuous formation and production of synthetic NGHs. These synthetic hydrates can store up to 164 times their volume in gas while being maintained at 1 atmosphere and between -10 to -20°C for several weeks. Owing to these properties, new process for the economic storage and transportation of these synthetic hydrates could be envisioned

  13. Methane generation from waste materials

    SciTech Connect (OSTI)

    Samani, Zohrab A.; Hanson, Adrian T.; Macias-Corral, Maritza

    2010-03-23

    An organic solid waste digester for producing methane from solid waste, the digester comprising a reactor vessel for holding solid waste, a sprinkler system for distributing water, bacteria, and nutrients over and through the solid waste, and a drainage system for capturing leachate that is then recirculated through the sprinkler system.

  14. Flash hydropyrolysis and methanolysis of biomass with hydrogen and methane

    SciTech Connect (OSTI)

    Steinberg, M.

    1985-04-01

    The process chemistry of the flash pyrolysis of biomass (wood) with the reactive gases, H/sub 2/ and CH/sub 4/ and with the non-reactive gases He and N/sub 2/ is being determined in a 1 in. downflow tubular reactor at pressures from 20 to 1000 psi and temperatures from 600 to 1000/sup 0/C. With hydrogen, flash hydropyrolysis leads to high yields of methane and CO which can be used for SNG and methanol fuel production. With methane, flash methanolysis leads to high yields of ethylene, benzene and CO which can be used for the production of valuable chemical feedstocks and methanol transportation fuel. At reactor conditions of 50 psi and 1000/sup 0/C and approximately 1 sec residence time, the yields based on pine wood carbon conversion are up to 30% for ethylene, 25% for benzene, and 45% for CO, indicating that over 90% of the carbon in pine is converted to valuable products. Pine wood produces higher yields of hydrocarbon products than Douglas fir wood; the yield of ethylene is 2.3 times higher with methane than with helium or nitrogen, and for pine, the ratio is 7.5 times higher. The mechanism appears to be a free radical reaction between CH/sub 4/ and the pyrolyzed wood. There appears to be no net production or consumption of methane. A preliminary process design and analysis indicates an economically competitive system for the production of ethylene, benzene and methanol based on the methanolysis of wood. 8 refs., 18 figs., 1 tab.

  15. DOE Announces $3.8 Million Investment in New Methane Gas Hydrate Research |

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

    Department of Energy $3.8 Million Investment in New Methane Gas Hydrate Research DOE Announces $3.8 Million Investment in New Methane Gas Hydrate Research September 15, 2016 - 10:00am Addthis The U.S. Department of Energy (DOE) has announced the selection of six multi-year research projects to receive $3.8 million in funding that will enhance the understanding of methane hydrate system behaviors when subjected to natural, environmental, or induced production-related changes, helping to

  16. Methane Recovery from Hydrate-bearing Sediments

    SciTech Connect (OSTI)

    J. Carlos Santamarina; Costas Tsouris

    2011-04-30

    Gas hydrates are crystalline compounds made of gas and water molecules. Methane hydrates are found in marine sediments and permafrost regions; extensive amounts of methane are trapped in the form of hydrates. Methane hydrate can be an energy resource, contribute to global warming, or cause seafloor instability. This study placed emphasis on gas recovery from hydrate bearing sediments and related phenomena. The unique behavior of hydrate-bearing sediments required the development of special research tools, including new numerical algorithms (tube- and pore-network models) and experimental devices (high pressure chambers and micromodels). Therefore, the research methodology combined experimental studies, particle-scale numerical simulations, and macro-scale analyses of coupled processes. Research conducted as part of this project started with hydrate formation in sediment pores and extended to production methods and emergent phenomena. In particular, the scope of the work addressed: (1) hydrate formation and growth in pores, the assessment of formation rate, tensile/adhesive strength and their impact on sediment-scale properties, including volume change during hydrate formation and dissociation; (2) the effect of physical properties such as gas solubility, salinity, pore size, and mixed gas conditions on hydrate formation and dissociation, and it implications such as oscillatory transient hydrate formation, dissolution within the hydrate stability field, initial hydrate lens formation, and phase boundary changes in real field situations; (3) fluid conductivity in relation to pore size distribution and spatial correlation and the emergence of phenomena such as flow focusing; (4) mixed fluid flow, with special emphasis on differences between invading gas and nucleating gas, implications on relative gas conductivity for reservoir simulations, and gas recovery efficiency; (5) identification of advantages and limitations in different gas production strategies with

  17. Mapping pan-Arctic methane emissions at high spatial resolution using an adjoint atmospheric transport and inversion method and process-based wetland and lake biogeochemical models

    DOE PAGES-Beta [OSTI]

    Tan, Z.; Zhuang, Q.; Henze, D. K.; Frankenberg, C.; Dlugokencky, E.; Sweeney, C.; Turner, A. J.

    2015-11-18

    Understanding methane emissions from the Arctic, a fast warming carbon reservoir, is important for projecting changes in the global methane cycle under future climate scenarios. Here we optimize Arctic methane emissions with a nested-grid high-resolution inverse model by assimilating both high-precision surface measurements and column-average SCIAMACHY satellite retrievals of methane mole fraction. For the first time, methane emissions from lakes are integrated into an atmospheric transport and inversion estimate, together with prior wetland emissions estimated by six different biogeochemical models. We find that, the global methane emissions during July 2004June 2005 ranged from 496.4 to 511.5 Tg yr?1, with wetlandmoremethane emissions ranging from 130.0 to 203.3 Tg yr?1. The Arctic methane emissions during July 2004June 2005 were in the range of 14.630.4 Tg yr?1, with wetland and lake emissions ranging from 8.8 to 20.4 Tg yr?1 and from 5.4 to 7.9 Tg yr?1 respectively. Canadian and Siberian lakes contributed most of the estimated lake emissions. Due to insufficient measurements in the region, Arctic methane emissions are less constrained in northern Russia than in Alaska, northern Canada and Scandinavia. Comparison of different inversions indicates that the distribution of global and Arctic methane emissions is sensitive to prior wetland emissions. Evaluation with independent datasets shows that the global and Arctic inversions improve estimates of methane mixing ratios in boundary layer and free troposphere. The high-resolution inversions provide more details about the spatial distribution of methane emissions in the Arctic.less

  18. METHOD FOR PRODUCING ISOTOPIC METHANES FROM LITHIUM CARBONATE AND LITHIUM HYDRIDE

    DOE Patents [OSTI]

    Frazer, J.W.

    1959-10-27

    A process is descrlbed for the production of methane and for the production of methane containing isotopes of hydrogen and/or carbon. Finely divided lithium hydrlde and litldum carbonate reactants are mixed in intimate contact and subsequently compacted under pressures of from 5000 to 60,000 psl. The compacted lithium hydride and lithium carbenate reactunts are dispised in a gas collecting apparatus. Subsequently, the compact is heated to a temperature in the range 350 to 400 deg C whereupon a solid-solid reaction takes place and gaseous methane is evolved. The evolved methane is contaminated with gaseous hydrogen and a very small amount of CO/sub 2/; however, the desired methane product is separated from sald impurities by well known chemical processes, e.g., condensation in a cold trap. The product methane contalns isotopes of carbon and hydrogen, the Isotopic composition being determined by the carbon isotopes originally present In the lithium carbonate and the hydrogen isotopes originally present in the lithium hydride.

  19. Turbulent burning rates of methane and methane-hydrogen mixtures

    SciTech Connect (OSTI)

    Fairweather, M. [School of Process, Environmental and Materials Engineering, University of Leeds, Leeds LS2 9JT (United Kingdom); Ormsby, M.P.; Sheppard, C.G.W. [School of Mechanical Engineering, University of Leeds, Leeds LS2 9JT (United Kingdom); Woolley, R. [Department of Mechanical Engineering, University of Sheffield, Sheffield S1 3JD (United Kingdom)

    2009-04-15

    Methane and methane-hydrogen (10%, 20% and 50% hydrogen by volume) mixtures have been ignited in a fan stirred bomb in turbulence and filmed using high speed cine schlieren imaging. Measurements were performed at 0.1 MPa (absolute) and 360 K. A turbulent burning velocity was determined for a range of turbulence velocities and equivalence ratios. Experimental laminar burning velocities and Markstein numbers were also derived. For all fuels the turbulent burning velocity increased with turbulence velocity. The addition of hydrogen generally resulted in increased turbulent and laminar burning velocity and decreased Markstein number. Those flames that were less sensitive to stretch (lower Markstein number) burned faster under turbulent conditions, especially as the turbulence levels were increased, compared to stretch-sensitive (high Markstein number) flames. (author)

  20. The Methane to Markets Coal Mine Methane Subcommittee meeting

    SciTech Connect (OSTI)

    2008-07-01

    The presentations (overheads/viewgraphs) include: a report from the Administrative Support Group; strategy updates from Australia, India, Italy, Mexico, Nigeria, Poland and the USA; coal mine methane update and IEA's strategy and activities; the power of VAM - technology application update; the emissions trading market; the voluntary emissions reduction market - creating profitable CMM projects in the USA; an Italian perspective towards a zero emission strategies; and the wrap-up and summary.

  1. Method and apparatus for recovering hydrogen from a feed comprising methane, ethylene, hydrogen and acetylene

    SciTech Connect (OSTI)

    O'Reilly, R.

    1985-01-08

    Hydrogen is recovered from a feed comprising methane, ethylene, hydrogen and acetylene by first cooling the feed and then scrubbing the cooled feed with a scrubbing liquid selected from the group consisting of liquid ethylene, liquid propane, liquid ethane and mixtures thereof to remove substantially all the acetylene. The scrubbed gas is then further cooled to condense the methane and ethylene leaving gaseous hydrogen as product.

  2. Methane-derived hydrocarbons produced under upper-mantle conditions

    SciTech Connect (OSTI)

    Kolesnikov, Anton; Kutcherov, Vladimir G.; Goncharov, Alexander F.

    2009-08-13

    There is widespread evidence that petroleum originates from biological processes. Whether hydrocarbons can also be produced from abiogenic precursor molecules under the high-pressure, high-temperature conditions characteristic of the upper mantle remains an open question. It has been proposed that hydrocarbons generated in the upper mantle could be transported through deep faults to shallower regions in the Earth's crust, and contribute to petroleum reserves. Here we use in situ Raman spectroscopy in laser-heated diamond anvil cells to monitor the chemical reactivity of methane and ethane under upper-mantle conditions. We show that when methane is exposed to pressures higher than 2 GPa, and to temperatures in the range of 1,000-1,500 K, it partially reacts to form saturated hydrocarbons containing 2-4 carbons (ethane, propane and butane) and molecular hydrogen and graphite. Conversely, exposure of ethane to similar conditions results in the production of methane, suggesting that the synthesis of saturated hydrocarbons is reversible. Our results support the suggestion that hydrocarbons heavier than methane can be produced by abiogenic processes in the upper mantle.

  3. Patterns in wetland microbial community composition and functional gene repertoire associated with methane emissions

    SciTech Connect (OSTI)

    He, Shaomei; Malfatti, Stephanie A.; McFarland, Jack W.; Anderson, Frank E.; Pati, Amrita; Huntemann, Marcel; Tremblay, Julien; Glavina del Rio, Tijana; Waldrop, Mark P.; Windham-Myers, Lisamarie; Tringe, Susannah G.

    2015-05-19

    Wetland restoration on peat islands previously drained for agriculture has potential to reverse land subsidence and sequester atmospheric carbon dioxide as peat accretes. However, the emission of methane could potentially offset the greenhouse gas benefits of captured carbon. As microbial communities play a key role in governing wetland greenhouse gas fluxes, we are interested in how microbial community composition and functions are associated with wetland hydrology, biogeochemistry, and methane emission, which is critical to modeling the microbial component in wetland methane fluxes and to managing restoration projects for maximal carbon sequestration. Here, we couple sequence-based methods with biogeochemical and greenhouse gas measurements to interrogate microbial communities from a pilot-scale restored wetland in the Sacramento-San Joaquin Delta of California, revealing considerable spatial heterogeneity even within this relatively small site. A number of microbial populations and functions showed strong correlations with electron acceptor availability and methane production; some also showed a preference for association with plant roots. Marker gene phylogenies revealed a diversity of major methane-producing and -consuming populations and suggested novel diversity within methanotrophs. Methanogenic archaea were observed in all samples, as were nitrate-, sulfate-, and metal-reducing bacteria, indicating that no single terminal electron acceptor was preferred despite differences in energetic favorability and suggesting spatial microheterogeneity and microniches. Notably, methanogens were negatively correlated with nitrate-, sulfate-, and metal-reducing bacteria and were most abundant at sampling sites with high peat accretion and low electron acceptor availability, where methane production was highest. Wetlands are the largest nonanthropogenic source of atmospheric methane but also a key global carbon reservoir. Characterizing belowground microbial communities

  4. Patterns in wetland microbial community composition and functional gene repertoire associated with methane emissions

    DOE PAGES-Beta [OSTI]

    He, Shaomei; Malfatti, Stephanie A.; McFarland, Jack W.; Anderson, Frank E.; Pati, Amrita; Huntemann, Marcel; Tremblay, Julien; Glavina del Rio, Tijana; Waldrop, Mark P.; Windham-Myers, Lisamarie; et al

    2015-05-19

    Wetland restoration on peat islands previously drained for agriculture has potential to reverse land subsidence and sequester atmospheric carbon dioxide as peat accretes. However, the emission of methane could potentially offset the greenhouse gas benefits of captured carbon. As microbial communities play a key role in governing wetland greenhouse gas fluxes, we are interested in how microbial community composition and functions are associated with wetland hydrology, biogeochemistry, and methane emission, which is critical to modeling the microbial component in wetland methane fluxes and to managing restoration projects for maximal carbon sequestration. Here, we couple sequence-based methods with biogeochemical and greenhousemore » gas measurements to interrogate microbial communities from a pilot-scale restored wetland in the Sacramento-San Joaquin Delta of California, revealing considerable spatial heterogeneity even within this relatively small site. A number of microbial populations and functions showed strong correlations with electron acceptor availability and methane production; some also showed a preference for association with plant roots. Marker gene phylogenies revealed a diversity of major methane-producing and -consuming populations and suggested novel diversity within methanotrophs. Methanogenic archaea were observed in all samples, as were nitrate-, sulfate-, and metal-reducing bacteria, indicating that no single terminal electron acceptor was preferred despite differences in energetic favorability and suggesting spatial microheterogeneity and microniches. Notably, methanogens were negatively correlated with nitrate-, sulfate-, and metal-reducing bacteria and were most abundant at sampling sites with high peat accretion and low electron acceptor availability, where methane production was highest. Wetlands are the largest nonanthropogenic source of atmospheric methane but also a key global carbon reservoir. Characterizing belowground microbial

  5. Reduction of ruminant methane emissions - a win-win-win opportunity for business, development, and the environment

    SciTech Connect (OSTI)

    Livingston, R.

    1997-12-31

    This paper describes research efforts of The Global Livestock Producers Program (GLPP) in establishing self-sustaining enterprises for cost-effective technologies (i.e., animal nutrition and genetic improvement) and global methane emissions reductions in developing world nations. The US Environmental Protection Agency has funded several studies to examine the possibilities of reducing ruminant methane emissions in India, Tanzania, Bangladesh, and Brazil. The results of the studies showed that: (1) many developing countries` production systems are inefficient, and (2) great potential exists for decreasing global methane emissions through increasing animal productivity. From this effort, the GLPP established livestock development projects in India, Zimbabwe, and Tanzania, and is developing projects for Bangladesh, Nepal, and Brazil. The GLPP has developed a proven methodology for assessing ruminant methane and incorporating methane emissions monitoring into viable projects.

  6. Enhanced Anaerobic Digestion and Hydrocarbon Precursor Production

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

    digestion of biosolids to produce biogas with 90% methane content and hydrogen ... 2) Enables sustainable production of biogas that is considered as a cellulosic ...

  7. Closing the Gaps in the Budgets of Methane and Nitrous Oxide

    SciTech Connect (OSTI)

    Khalil, Aslam; Rice, Andrew; Rasmussen, Reinhold

    2013-11-22

    Together methane and nitrous oxide contribute almost 40% of the estimated increase in radiative forcing caused by the buildup of greenhouse gases during the last 250 years (IPCC, 2007). These increases are attributed to human activities. Since the emissions of these gases are from biogenic sources and closely associated with living things in the major terrestrial ecosystems of the world, climate change is expected to cause feedbacks that may further increase emissions even from systems normally classified as natural. Our results support the idea that while past increases of methane were driven by direct emissions from human activities, some of these have reached their limits and that the future of methane changes may be determined by feedbacks from warming temperatures. The greatly increased current focus on the arctic and the fate of the carbon frozen in its permafrost is an example of such a feedback that could exceed the direct increases caused by future human activities (Zimov et al. 2006). Our research was aimed at three broad areas to address open questions about the global budgets of methane and nitrous oxide. These areas of inquiry were: The processes by which methane and nitrous oxide are emitted, new sources such as trees and plants, and integration of results to refine the global budgets both at present and of the past decades. For the process studies the main research was to quantify the effect of changes in the ambient temperature on the emissions of methane and nitrous oxide from rice agriculture. Additionally, the emissions of methane and nitrous oxide under present conditions were estimated using the experimental data on how fertilizer applications and water management affect emissions. Rice was chosen for detailed study because it is a prototype system of the wider terrestrial source, its role in methane emissions is well established, it is easy to cultivate and it represents a major anthropogenic source. Here we will discuss the highlights of the

  8. Integrated exploration strategy for locating areas capable of high gas rate cavity completion in coalbed methane reservoirs

    SciTech Connect (OSTI)

    Klawitter, A.L.; Hoak, T.E.; Decker, A.D.

    1995-10-01

    In 1993, the San Juan Basin accounted for approximately 605 Bcf of the 740 Bcf of all coalbed gas produced in the United States. The San Juan {open_quotes}cavitation fairway{close_quotes} in which production occurs in open-hole cavity completions, is responsible for over 60% of all U.S. coalbed methane production. Perhaps most striking is the fact that over 17,000 wells had penetrated the Fruitland formation in the San Juan Basin prior to recognition of the coalbed methan potential. To understand the dynamic cavity fairway reservoir in the San Juan Basin, an exploration rationale for coalbed methan was developed that permits a sequential reduction in total basin exploration area based on four primary exploration criteria. One of the most significant criterion is the existence of thick, thermally mature, friable coals. A second criterion is the existence of fully gas-charged coals. Evaluation of this criterion requires reservoir geochemical data to delineate zones of meteoric influx where breaching has occurred. A third criterion is the presence of adequate reservoir permeability. Natural fracturing in coals is due to cleating and tectonic processes. Because of the general relationship between coal cleating and coal rank, coal cleating intensity can be estimated by analysis of regional coal rank maps. The final criterion is determining whether natural fractures are open or closed. To make this determination, remote sensing imagery interpretation is supported by ancillary data compiled from regional tectonic studies. Application of these four criteria to the San Juan Basin in a heuristic, stepwise process resulted in an overall 94% reduction in total basin exploration area. Application of the first criterion reduced the total basin exploration area by 80%. Application of the second criterion further winnows this area by an addition 9%. Application of the third criterion reduces the exploration area to 6% of the total original exploration area.

  9. OXIDATIVE COUPLING OF METHANE USING INORGANIC MEMBRANE REACTORS

    SciTech Connect (OSTI)

    Dr. Y.H. Ma; Dr. W.R. Moser; Dr. A.G. Dixon; Dr. A.M. Ramachandra; Dr. Y. Lu; C. Binkerd

    1998-04-01

    The objective of this research is to study the oxidative coupling of methane in catalytic inorganic membrane reactors. A specific target is to achieve conversion of methane to C{sub 2} hydrocarbons at very high selectivity and higher yields than in conventional non-porous, co-feed, fixed bed reactors by controlling the oxygen supply through the membrane. A membrane reactor has the advantage of precisely controlling the rate of delivery of oxygen to the catalyst. This facility permits balancing the rate of oxidation and reduction of the catalyst. In addition, membrane reactors minimize the concentration of gas phase oxygen thus reducing non selective gas phase reactions, which are believed to be a main route for the formation of CO{sub x} products. Such gas phase reactions are a cause of decreased selectivity in the oxidative coupling of methane in conventional flow reactors. Membrane reactors could also produce higher product yields by providing better distribution of the reactant gases over the catalyst than the conventional plug flow reactors. Membrane reactor technology also offers the potential for modifying the membranes both to improve catalytic properties as well as to regulate the rate of the permeation/diffusion of reactants through the membrane to minimize by-product generation. Other benefits also exist with membrane reactors, such as the mitigation of thermal hot-spots for highly exothermic reactions such as the oxidative coupling of methane. The application of catalytically active inorganic membranes has potential for drastically increasing the yield of reactions which are currently limited by either thermodynamic equilibria, product inhibition, or kinetic selectivity.

  10. Methane and Methanotrophic Bacteria as a Biotechnological Platform

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

    and Methanotrophic Bacteria as a Biotechnological Platform Lori Giver, VP Biological Engineering, June 24, 2015 Calysta overview 2 Menlo Park, CA London, UK Stavanger, NO Singapore, SG / Bintulu, MY * Founded in May, 2011; Acquired BioProtein A/S in 2014. * Core IP and expertise in gas fermentation, bioengineering, and product development. Our Mission Building a highly profitable company producing food, chemicals, and fuels from methane: a sustainable, abundant resource that does not compete

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

    Fuel Cell Technologies Publication and Product Library (EERE)

    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.

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

    Fuel Cell Technologies Publication and Product Library (EERE)

    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

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

    Fuel Cell Technologies Publication and Product Library (EERE)

    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

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

    Fuel Cell Technologies Publication and Product Library (EERE)

    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

  15. 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.

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

    SciTech Connect (OSTI)

    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.

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

    SciTech Connect (OSTI)

    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.

  18. 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.

  19. Methane Hydrate Program Annual Report to Congress

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

    FY 2010 Methane Hydrate Program Annual Report to Congress September 2011 U.S. Department of ENERGY United States Department of Energy Washington, DC 20585 Department of Energy | September 2011 FY 2010 Methane Hydrate Program Annual Report to Congress | Page 2 Message from the Secretary Section 968 of the Energy Policy Act of 2005 requires the Department of Energy to submit to Congress an annual report on the results of methane hydrate research. I am pleased to submit the enclosed report

  20. Recoverable Resource Estimate of Identified Onshore Geopressured Geothermal Energy in Texas and Louisiana (Presentation)

    SciTech Connect (OSTI)

    Esposito, A.; Augustine, C.

    2012-04-01

    Geopressured geothermal reservoirs are characterized by high temperatures and high pressures with correspondingly large quantities of dissolved methane. Due to these characteristics, the reservoirs provide two sources of energy: chemical energy from the recovered methane, and thermal energy from the recovered fluid at temperatures high enough to operate a binary power plant for electricity production. Formations with the greatest potential for recoverable energy are located in the gulf coastal region of Texas and Louisiana where significantly overpressured and hot formations are abundant. This study estimates the total recoverable onshore geopressured geothermal resource for identified sites in Texas and Louisiana. In this study a geopressured geothermal resource is defined as a brine reservoir with fluid temperature greater than 212 degrees F and a pressure gradient greater than 0.7 psi/ft.

  1. Modeling Methane Adsorption in Interpenetrating Porous Polymer...

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

    Modeling Methane Adsorption in Interpenetrating Porous Polymer Networks Previous Next List Richard L. Martin, Mahdi Niknam Shahrak, Joseph A. Swisher, Cory M. Simon, Julian P....

  2. Capping methane leaks a win-win

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

    Capping methane leaks a win-win Capping methane leaks a win-win As special correspondent Kathleen McCleery explains, that's why both environmentalists and the energy industry are trying to find ways to capture leaks from oil and gas facilities. November 13, 2015 Capping methane leaks a win-win Methane, the primary component of natural gas, is also a potent greenhouse gas, trapping energy in the atmosphere. Last year NASA released satellite images showing a hot spot in the area where New Mexico,

  3. New Methane Hydrate Research: Investing in Our Energy Future...

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

    New Methane Hydrate Research: Investing in Our Energy Future New Methane Hydrate Research: Investing in Our Energy Future August 31, 2012 - 1:37pm Addthis Methane hydrates are 3D ...

  4. Powder River Basin Coalbed Methane Development and Produced Water Management Study

    SciTech Connect (OSTI)

    Advanced Resources International

    2002-11-30

    Coalbed methane resources throughout the entire Powder River Basin were reviewed in this analysis. The study was conducted at the township level, and as with all assessments conducted at such a broad level, readers must recognize and understand the limitations and appropriate use of the results. Raw and derived data provided in this report will not generally apply to any specific location. The coal geology in the basin is complex, which makes correlation with individual seams difficult at times. Although more than 12,000 wells have been drilled to date, large areas of the Powder River Basin remain relatively undeveloped. The lack of data obviously introduces uncertainty and increases variability. Proxies and analogs were used in the analysis out of necessity, though these were always based on sound reasoning. Future development in the basin will make new data and interpretations available, which will lead to a more complete description of the coals and their fluid flow properties, and refined estimates of natural gas and water production rates and cumulative recoveries. Throughout the course of the study, critical data assumptions and relationships regarding gas content, methane adsorption isotherms, and reservoir pressure were the topics of much discussion with reviewers. A summary of these discussion topics is provided as an appendix. Water influx was not modeled although it is acknowledged that this phenomenon may occur in some settings. As with any resource assessment, technical and economic results are the product of the assumptions and methodology used. In this study, key assumptions as well as cost and price data, and economic parameters are presented to fully inform readers. Note that many quantities shown in various tables have been subject to rounding; therefore, aggregation of basic and intermediate quantities may differ from the values shown.

  5. Activation of methane by transition metal-substituted aluminophosphate molecular sieves

    DOE Patents [OSTI]

    Iton, Lennox E.; Maroni, Victor A.

    1991-01-01

    Aluminophosphate molecular sieves substituted with cobalt, manganese or iron and having the AlPO.sub.4 -34 or AlPO.sub.4 -5, or related AlPO.sub.4 structure activate methane starting at approximately 350.degree. C. Between 400.degree. and 500.degree. C. and at methane pressures .ltoreq.1 atmosphere the rate of methane conversion increases steadily with typical conversion efficiencies at 500.degree. C. approaching 50% and selectivity to the production of C.sub.2+ hydrocarbons approaching 100%. The activation mechanism is based on reduction of the transition metal(III) form of the molecular sieve to the transition metal(II) form with accompanying oxidative dehydrogenation of the methane. Reoxidation of the - transition metal(II) form to the transition metal(III) form can be done either chemically (e.g., using O.sub.2) or electrochemically.

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

    SciTech Connect (OSTI)

    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 (OSTI)

    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. Methane Hydrate Advisory Committee Meeting Minutes, October 2011...

    Office of Environmental Management (EM)

    October 2011 Methane Hydrate Advisory Committee Meeting Minutes, October 2011 Methane Hydrate Advisory Committee Meeting Minutes October 2011 Washington, DC PDF icon Advisory...

  9. Landfill Methane Project Development Handbook | Open Energy Informatio...

    Open Energy Information (Open El) [EERE & EIA]

    Methane Project Development Handbook Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Landfill Methane Project Development Handbook AgencyCompany Organization: United...

  10. US EPA Landfill Methane Outreach Program | Open Energy Information

    Open Energy Information (Open El) [EERE & EIA]

    EPA Landfill Methane Outreach Program Jump to: navigation, search Name US EPA Landfill Methane Outreach Program AgencyCompany Organization United States Environmental Protection...

  11. Data from Innovative Methane Hydrate Test on Alaska's North Slope...

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

    Data from Innovative Methane Hydrate Test on Alaska's North Slope Now Available on NETL Website Data from Innovative Methane Hydrate Test on Alaska's North Slope Now Available on ...

  12. Natural Gas Infrastructure R&D and Methane Emissions Mitigation...

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

    Workshops Natural Gas Infrastructure R&D and Methane Emissions Mitigation Workshop Natural Gas Infrastructure R&D and Methane Emissions Mitigation Workshop The Advanced ...

  13. Florida Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update

    Release Date: 11192015 Next Release Date: 12312016 Referring Pages: Coalbed Methane Proved Reserves as of Dec. 31 Florida Coalbed Methane Proved Reserves, Reserves Changes, and ...

  14. ,"Florida Coalbed Methane Proved Reserves (Billion Cubic Feet...

    U.S. Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Florida Coalbed Methane Proved Reserves (Billion ... 7:23:10 AM" "Back to Contents","Data 1: Florida Coalbed Methane Proved Reserves (Billion ...

  15. Louisiana--State Offshore Coalbed Methane Proved Reserves (Billion...

    U.S. Energy Information Administration (EIA) (indexed site)

    Louisiana--State Offshore Coalbed Methane Proved Reserves (Billion Cubic Feet) Decade ...312016 Referring Pages: Coalbed Methane Proved Reserves as of Dec. 31 LA, State Offshore

  16. ,"Lower 48 Federal Offshore Coalbed Methane Proved Reserves ...

    U.S. Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Lower 48 Federal Offshore Coalbed Methane Proved Reserves (Billion ... to Contents","Data 1: Lower 48 Federal Offshore Coalbed Methane Proved Reserves (Billion ...

  17. Lower 48 Federal Offshore Coalbed Methane Proved Reserves (Billion...

    U.S. Energy Information Administration (EIA) (indexed site)

    Lower 48 Federal Offshore Coalbed Methane Proved Reserves (Billion Cubic Feet) Decade ...2016 Referring Pages: Coalbed Methane Proved Reserves as of Dec. 31 Federal Offshore U.S.

  18. ,"Texas (with State Offshore) Coalbed Methane Proved Reserves...

    U.S. Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Texas (with State Offshore) Coalbed Methane Proved Reserves ... to Contents","Data 1: Texas (with State Offshore) Coalbed Methane Proved Reserves ...

  19. ,"Alaska (with Total Offshore) Coalbed Methane Proved Reserves...

    U.S. Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Alaska (with Total Offshore) Coalbed Methane Proved Reserves ... to Contents","Data 1: Alaska (with Total Offshore) Coalbed Methane Proved Reserves ...

  20. ,"Louisiana--State Offshore Coalbed Methane Proved Reserves ...

    U.S. Energy Information Administration (EIA) (indexed site)

    Data for" ,"Data 1","Louisiana--State Offshore Coalbed Methane Proved Reserves (Billion ... to Contents","Data 1: Louisiana--State Offshore Coalbed Methane Proved Reserves (Billion ...