National Library of Energy BETA

Sample records for reservoir proved revision

  1. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets160Product: TotalCoalbed methane proved

  2. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets160Product: Total Crude OilPropaneDataTotal

  3. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets160Product: Total Crude

  4. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets160Product: Total CrudeAssociated-dissolved

  5. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets160Product: Total

  6. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets160Product: TotalCoalbed methane

  7. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets160Product: TotalCoalbed methaneCrude oil

  8. Published New Reservoir Proved Revision Revision New Field Discoveries

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets160Product: TotalCoalbed methaneCrude

  9. Reservoir analysis study, Naval Petroleum Reserve No. 1, Elk Hills Field, Kern County, California: Phase 2 report: Volume 1, Appendices

    SciTech Connect (OSTI)

    Not Available

    1988-06-01

    The objectives for the Phase II study included the establishment of revised estimates of the original oil and gas-in-place for each of the zones/reservoirs, estimation of the remaining proved developed, proved undeveloped, probable and possible reserves, and assessment of the effects of historical development and production operations and practices on recoverable reserves. 43 figs., 103 tabs.

  10. Reservoir analysis study, Naval Petroleum Reserve No. 1, Elk Hills Field, Kern County, California: Phase 2 report: Volume 2

    SciTech Connect (OSTI)

    Not Available

    1988-06-01

    The objectives for this Phase II study included the establishment of revised estimates of the original oil and gas-in-place for each of the zones/reservoirs, estimation of the remaining proved developed, proved undeveloped, probable and possible reserves, and assessment of the effects of historical development and production operations and practices on recoverable reserves. Volume two contains reservoir studies for: Stevens/endash/26R/2B; Stevens/endash/29R242/132/Asphalto; Stevens/endash/Northwest; and Carneros.

  11. Ohio Coalbed Methane Proved Reserves, Reserves Changes, and Production

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    5 2006 2007 2008 2009 2010 View History Proved Reserves as of Dec. 31 0 1 1 1 0 0 2005-2010 Adjustments 0 0 2009-2010 Revision Increases 0 0 2009-2010 Revision Decreases 1 0...

  12. LA, South Onshore Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    2011 2012 2013 View History Proved Reserves as of Dec. 31 0 0 10 2011-2013 Adjustments 0 2 2012-2013 Revision Increases 0 0 2012-2013 Revision Decreases 0 0 2012-2013 Sales 0 0...

  13. CA, San Joaquin Basin Onshore Shale Gas Proved Reserves, Reserves...

    Gasoline and Diesel Fuel Update (EIA)

    2011 2012 2013 View History Proved Reserves as of Dec. 31 855 777 756 2011-2013 Adjustments 1 1 -1 2011-2013 Revision Increases 912 258 68 2011-2013 Revision Decreases 0 248 0...

  14. Virginia Shale Gas Proved Reserves, Reserves Changes, and Production

    U.S. Energy Information Administration (EIA) Indexed Site

    2012 2013 View History Proved Reserves as of Dec. 31 135 126 2012-2013 Adjustments -1 3 2012-2013 Revision Increases 0 3 2012-2013 Revision Decreases 0 12 2012-2013 Sales 0 0...

  15. Mississippi Shale Gas Proved Reserves, Reserves Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    2012 2013 View History Proved Reserves as of Dec. 31 19 37 2012-2013 Adjustments 21 23 2012-2013 Revision Increases 0 0 2012-2013 Revision Decreases 0 0 2012-2013 Sales 0 0...

  16. California Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    2011 2012 2013 View History Proved Reserves as of Dec. 31 855 777 756 2011-2013 Adjustments 1 1 -1 2011-2013 Revision Increases 912 258 68 2011-2013 Revision Decreases 0 248 0...

  17. Reservoir analysis study, Naval Petroleum Reserve No. 1, Elk Hills Field, Kern County, California: Phase 2 report, Volume 1

    SciTech Connect (OSTI)

    Not Available

    1988-06-01

    Jerry R. Bergeso and Associates, Inc. (Bergeson) has completed Phase II of the Reservoir Analysis, Naval Petroleum Reserve Number 1, Elk Hills Oilfield, California. The objectives for this phase of the study included the establishment of revised estimates of the original oil and gas-in-place for each of the zones/reservoirs, estimation of the remaining proved developed, proved undeveloped, probable and possible reserves, and assessment of the effects of historical development and production operations and practices on recoverable reserves. Volume one contains the following: summary; introduction; and reservoir studies for tulare, dry gas zone, eastern shallow oil zone, western shallow oil zone, and Stevens --MBB/W31S, 31S NA/D.

  18. An integrated study of the Grayburg/San Andres reservoir, Foster and South Cowden fields, Ector County, Texas. Quarterly report, April 1--June 31, 1996. Revision

    SciTech Connect (OSTI)

    Trentham, R.C.; Weinbrandt, R.; Robertson, W.

    1996-10-17

    The principal objective of this research is to demonstrate in the field that 3D seismic data can be used to aid in identifying porosity zones, permeability barriers and thief zones and thereby improve waterflood design. Geologic and engineering data will be integrated with the geophysical data to result in a detailed reservoir characterization. Reservoir simulation will then be used to determine infill drilling potential and the optimum waterflood design for the project area. This design will be implemented and the success of the waterflood evaluated.

  19. TX, RRC District 7C Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    2010 2011 2012 2013 View History Proved Reserves as of Dec. 31 13 27 81 409 2010-2013 Adjustments 0 -1 1 -1 2010-2013 Revision Increases 0 13 20 217 2010-2013 Revision Decreases 0...

  20. Alaska Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    2008 2009 2010 2011 2012 2013 View History Proved Reserves as of Dec. 31 0 0 0 0 0 0 2007-2013 Adjustments 0 0 0 0 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision...

  1. Kansas Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    2012 2013 View History Proved Reserves as of Dec. 31 2 3 2012-2013 Adjustments 0 0 2012-2013 Revision Increases 0 0 2012-2013 Revision Decreases 0 0 2012-2013 Sales 0 0 2012-2013...

  2. Analysis of real-time reservoir monitoring : reservoirs, strategies, & modeling.

    SciTech Connect (OSTI)

    Mani, Seethambal S.; van Bloemen Waanders, Bart Gustaaf; Cooper, Scott Patrick; Jakaboski, Blake Elaine; Normann, Randy Allen; Jennings, Jim; Gilbert, Bob; Lake, Larry W.; Weiss, Chester Joseph; Lorenz, John Clay; Elbring, Gregory Jay; Wheeler, Mary Fanett; Thomas, Sunil G.; Rightley, Michael J.; Rodriguez, Adolfo; Klie, Hector; Banchs, Rafael; Nunez, Emilio J.; Jablonowski, Chris

    2006-11-01

    The project objective was to detail better ways to assess and exploit intelligent oil and gas field information through improved modeling, sensor technology, and process control to increase ultimate recovery of domestic hydrocarbons. To meet this objective we investigated the use of permanent downhole sensors systems (Smart Wells) whose data is fed real-time into computational reservoir models that are integrated with optimized production control systems. The project utilized a three-pronged approach (1) a value of information analysis to address the economic advantages, (2) reservoir simulation modeling and control optimization to prove the capability, and (3) evaluation of new generation sensor packaging to survive the borehole environment for long periods of time. The Value of Information (VOI) decision tree method was developed and used to assess the economic advantage of using the proposed technology; the VOI demonstrated the increased subsurface resolution through additional sensor data. Our findings show that the VOI studies are a practical means of ascertaining the value associated with a technology, in this case application of sensors to production. The procedure acknowledges the uncertainty in predictions but nevertheless assigns monetary value to the predictions. The best aspect of the procedure is that it builds consensus within interdisciplinary teams The reservoir simulation and modeling aspect of the project was developed to show the capability of exploiting sensor information both for reservoir characterization and to optimize control of the production system. Our findings indicate history matching is improved as more information is added to the objective function, clearly indicating that sensor information can help in reducing the uncertainty associated with reservoir characterization. Additional findings and approaches used are described in detail within the report. The next generation sensors aspect of the project evaluated sensors and packaging survivability issues. Our findings indicate that packaging represents the most significant technical challenge associated with application of sensors in the downhole environment for long periods (5+ years) of time. These issues are described in detail within the report. The impact of successful reservoir monitoring programs and coincident improved reservoir management is measured by the production of additional oil and gas volumes from existing reservoirs, revitalization of nearly depleted reservoirs, possible re-establishment of already abandoned reservoirs, and improved economics for all cases. Smart Well monitoring provides the means to understand how a reservoir process is developing and to provide active reservoir management. At the same time it also provides data for developing high-fidelity simulation models. This work has been a joint effort with Sandia National Laboratories and UT-Austin's Bureau of Economic Geology, Department of Petroleum and Geosystems Engineering, and the Institute of Computational and Engineering Mathematics.

  3. Reservoir analysis study, Naval Petroleum Reserve No. 1, Elk Hills Field, Kern County, California: Phase 2 report, Executive summary

    SciTech Connect (OSTI)

    Not Available

    1988-07-01

    The Naval Petroleum Reserve No. 1 (Elk Hills) is located in Kern County, California, and is jointly owned by the US Department of Energy and Chevron USA Inc. The Elk Hills Field is presently producing oil and gas from five geologic zones. These zones contain a number of separate and geologically complex reservoirs. Considerable field development and production of oil and gas have occurred since initial estimates of reserves were made. Total cumulative field production through December 1987 is 850 MMBbls of oil, 1.2 Tcf of gas and 648.2 MMBbls of water. In December 1987, field producing rates expressed on a calendar day basis amounted to 110,364 BOPD, 350,946 Mcfd and 230,179 BWPD from 1157 producers. In addition, a total of two reservoirs have gas injection in progress and four reservoirs have water injection in progress and four reservoirs have water injection in progress. Cumulative gas and water injection amounted to 586 Bcf of gas and 330 MMB of water. December 1987 gas and water injection rates amounted to 174 MMcfd and 234 MBWPD, into 129 injectors. In addition, a steamflood pilot program is currently active in the Eastern Shallow Oil Zone. Jerry R. Bergeson and Associates, Inc. (Bergeson) has completed Phase II of the Reservoir Analysis, Naval Petroleum Reserve Number 1, Elk Hills Oilfield, California. The objectives for this phase of the study included the establishment of revised estimates of the original oil and gas-in-place for each of the zones/reservoirs, estimation of the remaining proved developed, proved undeveloped, probable and possible reserves, and assessment of the effects of historical development and production operations and practices on recoverable reserves. 28 figs., 37 tabs.

  4. Alabama Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304 1,670Same0 1 2 2 15 1996-2014

  5. Alaska Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570Month Previous Year(Million633 622 566

  6. Arkansas Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724per Thousand Cubic Feet) Decade1 0 11 10

  7. California Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948California (Million Cubic Feet)per272 522 542

  8. Predicting reservoir sedimentation†

    E-Print Network [OSTI]

    Wooten, Stephanie

    1997-01-01

    Sediments accumulate in reservoirs and significantly decrease storage capacity. Predicting sedimentation is an important consideration in the design of new reservoir projects and in the management of existing reservoirs. Sedimentation rates may vary...

  9. Discrete Fracture Reservoir Simulation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Discrete Fracture Reservoir Simulation Shale Gas Flow Simulation Shale Gas Flow Simulation FRACGENNFFLOW, fractured reservoir modeling software developed by NETL's Geological and...

  10. North Louisiana Shale Gas Proved Reserves, Reserves Changes,...

    Gasoline and Diesel Fuel Update (EIA)

    2008 2009 2010 2011 2012 2013 View History Proved Reserves as of Dec. 31 858 9,307 20,070 21,950 13,523 11,473 2007-2013 Adjustments 131 2,347 -172 241 70 2009-2013 Revision...

  11. Colorado Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    2008 2009 2010 2011 2012 2013 View History Proved Reserves as of Dec. 31 0 4 4 10 53 136 2007-2013 Adjustments 1 -1 0 31 49 2009-2013 Revision Increases 0 1 4 13 56 2009-2013...

  12. TX, RRC District 2 Onshore Shale Gas Proved Reserves, Reserves...

    Gasoline and Diesel Fuel Update (EIA)

    2010 2011 2012 2013 View History Proved Reserves as of Dec. 31 395 1,692 4,743 5,595 2010-2013 Adjustments 6 237 494 40 2010-2013 Revision Increases 6 388 326 839 2010-2013...

  13. Dry Natural Gas Proved Reserves Revision Decreases (Summary)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1-- -- -- --WO R5,0981,372

  14. Dry Natural Gas Proved Reserves Revision Increases (Summary)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun Jul AugAdditions1-- -- -- --WO

  15. TX, RRC District 8A Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    2012 2013 View History Proved Reserves as of Dec. 31 0 0 2012-2013 Adjustments 0 0 2012-2013 Revision Increases 0 0 2012-2013 Revision Decreases 0 0 2012-2013 Sales 0 0 2012-2013...

  16. Status of Norris Reservoir

    SciTech Connect (OSTI)

    Not Available

    1990-09-01

    This is one in a series of reports prepared by the Tennessee Valley Authority (TVA) for those interested in the conditions of TVA reservoirs. This overview of Norris Reservoir summarizes reservoir and watershed characteristics, reservoir uses, conditions that impair reservoir uses, water quality and aquatic biological conditions, and activities of reservoir management agencies. This information was extracted from the most up-to-date publications and data available, and from interviews with water resource professionals in various federal, state, and local agencies, and in public and private water supply and wastewater treatment facilities. 14 refs., 3 figs.

  17. ,"New Mexico Proved Nonproducing Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Proved Nonproducing Reserves",5,"Annual",2014,"06301996" ,"Release Date:","1120...

  18. Revision Sheet

    Energy Savers [EERE]

    trees that would be removed, revisions to the number and location of culverts requiring fish passage, and updates to mitigation measures. Where text has been modified, deleted text...

  19. Reservoir Characterization Research Laboratory

    E-Print Network [OSTI]

    Texas at Austin, University of

    Reservoir Characterization Research Laboratory for Carbonate Studies Executive Summary for 2014 Outcrop and Subsurface Characterization of Carbonate Reservoirs for Improved Recovery of Remaining/Al 0.00 0.02 0.04 Eagle Ford Fm #12;#12; Reservoir Characterization Research Laboratory Research Plans

  20. Status of Wheeler Reservoir

    SciTech Connect (OSTI)

    Not Available

    1990-09-01

    This is one in a series of status reports prepared by the Tennessee Valley Authority (TVA) for those interested in the conditions of TVA reservoirs. This overview of Wheeler Reservoir summarizes reservoir purposes and operation, reservoir and watershed characteristics, reservoir uses and use impairments, and water quality and aquatic biological conditions. The information presented here is from the most recent reports, publications, and original data available. If no recent data were available, historical data were summarized. If data were completely lacking, environmental professionals with special knowledge of the resource were interviewed. 12 refs., 2 figs.

  1. Status of Cherokee Reservoir

    SciTech Connect (OSTI)

    Not Available

    1990-08-01

    This is the first in a series of reports prepared by Tennessee Valley Authority (TVA) for those interested in the conditions of TVA reservoirs. This overviews of Cherokee Reservoir summarizes reservoir and watershed characteristics, reservoir uses and use impairments, water quality and aquatic biological conditions, and activities of reservoir management agencies. This information was extracted from the most current reports, publications, and data available, and interviews with water resource professionals in various Federal, state, and local agencies and in public and private water supply and wastewater treatment facilities. 11 refs., 4 figs., 1 tab.

  2. Unconventional Groundwater System Proves Effective in Reducing...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Unconventional Groundwater System Proves Effective in Reducing Contamination at West Valley Demonstration Project Unconventional Groundwater System Proves Effective in Reducing...

  3. Reservoir CharacterizationReservoir Characterization Research LaboratoryResearch Laboratory

    E-Print Network [OSTI]

    Texas at Austin, University of

    Reservoir CharacterizationReservoir Characterization Research LaboratoryResearch Laboratory at Austin Austin, Texas 78713Austin, Texas 78713--89248924 #12;Reservoir Characterization Research Laboratory for Carbonate Studies Research Plans for 2012 Outcrop and Subsurface Characterization of Carbonate

  4. Reservoir Operation in Texas†

    E-Print Network [OSTI]

    Wurbs, Ralph A.

    1985-01-01

    to store and to release or withdraw for flood control and various conservation purposes. The report is intended to provide a comprehensive, indepth description of how reservoirs are operated in Texas...

  5. GEOTHERMAL RESERVOIR SIMULATIONS WITH SHAFT79

    E-Print Network [OSTI]

    Pruess, Karsten

    2012-01-01

    that well blocks must geothermal reservoir s∑tudies, paperof Califomia. LBL-10066 GEOTHERMAL RESERVOIR SIMULATIONSbe presented at the Fifth Geothermal Reservoir Engineering

  6. A reservoir management strategy for multilayered reservoirs in eastern Venezuela†

    E-Print Network [OSTI]

    Espinel Diaz, Arnaldo Leopoldo

    1998-01-01

    A reservoir management strategy has been developed for a field located in eastern Venezuela. The field contains deep, high pressure, multilayer reservoirs. A thorough formation evaluation was accomplished using the log data, core data, PVT data...

  7. Louisiana Coalbed Methane Proved Reserves, Reserves Changes,...

    Gasoline and Diesel Fuel Update (EIA)

    9 0 0 0 0 0 2005-2013 Adjustments 0 0 0 0 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 8 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  8. Pennsylvania Coalbed Methane Proved Reserves, Reserves Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    102 131 129 124 106 161 2005-2013 Adjustments 0 -1 1 120 68 2009-2013 Revision Increases 29 2 1 0 0 2009-2013 Revision Decreases 1 0 2 123 0 2009-2013 Sales 17 0 1 0 0 2009-2013...

  9. California Coalbed Methane Proved Reserves, Reserves Changes...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    0 0 0 0 0 0 2005-2013 Adjustments 0 0 0 0 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  10. Miscellaneous Coalbed Methane Proved Reserves, Reserves Changes...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    41 17 16 17 13 23 2005-2013 Adjustments 1 2 3 -2 13 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 24 2 0 1 0 2009-2013 Sales 0 0 1 0 0 2009-2013 Acquisitions...

  11. Hydrocarbon Reservoir Parameter Estimation Using

    E-Print Network [OSTI]

    van Vliet, Lucas J.

    Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic #12;#12;Hydrocarbon Reservoir Parameter Estimation Using Production Data and Time-Lapse Seismic PROEFSCHRIFT ter . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Recovery process . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.3 Field

  12. Applying reservoir characterization technology

    SciTech Connect (OSTI)

    Lake, L.W.

    1994-12-31

    While reservoir characterization is an old discipline, only within the last 10 years have engineers and scientists been able to make quantitative descriptions, due mostly to improvements in high-resolution computational power, sophisticated graphics, and geostatistics. This paper summarizes what has been learned during the past decade by using these technologies.

  13. Reinjection into geothermal reservoirs

    SciTech Connect (OSTI)

    Bodvarsson, G.S.; Stefansson, V.

    1987-08-01

    Reinjection of geothermal wastewater is practiced as a means of disposal and for reservoir pressure support. Various aspects of reinjection are discussed, both in terms of theoretical studies as well as specific field examples. The discussion focuses on the major effects of reinjection, including pressure maintenance and chemical and thermal effects. (ACR)

  14. Evaluation of production losses from unconventional shale reservoirs Umut Aybar, Wei Yu, Mohammad O. Eshkalak*

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    Evaluation of production losses from unconventional shale reservoirs Umut Aybar, Wei Yu, Mohammad O in revised form 25 February 2015 Accepted 26 February 2015 Available online Keywords: Unconventional shale that the geomechanical effects cause a significant production loss. Underground shale formations are scattered all over

  15. Reservoir Outflow (RESOUT) Model†

    E-Print Network [OSTI]

    Purvis, Stuart Travis

    1988-01-01

    rating tables for a comprehensive range of outlet structure types and configurations, simulating a dam breach, routing a hydrograph through the reservoir, and performing drawdown analyses. The thesis describes the basic equations and computational... of Rating Curves Rating Curves for Uncontrolled Ogee Spillways Rating Curves for Uncontrolled Broad-crested Spillways Rating Curves for Spillway Gates Rating Curves for Drop Inlet Spillways Rating Curves for Outlet Works Breach Simulation Storage...

  16. U.S. Coalbed Methane Proved Reserves New Reservoir Discoveries in Old

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of the National EnergyAdjustments (Billion CubicFields

  17. U.S. Natural Gas Liquids Lease Condensate, Proved Reserves New Reservoir in

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of the NationalSalesof OthersReceipts(Million(MillionOld

  18. U.S. Shale Proved Reserves New Reservoir Discoveries in Old Fields (Billion

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of theCubic Feet)49,797.6 44,697.0ExtensionsCubic

  19. ,"New Mexico Dry Natural Gas Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas Proved Reserves",10,"Annual",2014,"06301977" ,"Release Date:","11...

  20. ,"Pennsylvania Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  1. ,"Nebraska Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  2. ,"Federal Offshore, Pacific (California) Lease Condensate Proved...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  3. ,"Michigan Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  4. ,"Kentucky Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  5. ,"Wyoming Lease Condensate Proved Reserves, Reserve Changes,...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  6. ,"Arkansas Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  7. ,"Alabama Lease Condensate Proved Reserves, Reserve Changes,...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  8. ,"Miscellaneous Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  9. ,"California Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  10. ,"Mississippi Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  11. ,"Colorado Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  12. ,"Louisiana Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  13. ,"Montana Lease Condensate Proved Reserves, Reserve Changes,...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  14. ,"Oklahoma Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  15. ,"Florida Lease Condensate Proved Reserves, Reserve Changes,...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  16. ,"Natural Gas Plant Liquids Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Natural Gas Plant Liquids Proved Reserves",49,"Annual",2013,"06301979" ,"Release...

  17. The Potosi Reservoir Model 2013

    SciTech Connect (OSTI)

    Adushita, Yasmin; Smith, Valerie; Leetaru, Hannes

    2014-09-30

    As a part of a larger project co-funded by the United States Department of Energy (US DOE) to evaluate the potential of formations within the Cambro-Ordovician strata above the Mt. Simon as potential targets for carbon sequestration in the Illinois and Michigan Basins, the Illinois Clean Coal Institute (ICCI) requested Schlumberger to evaluate the potential injectivity and carbon dioxide (CO2) plume size of the Cambrian Potosi Formation. The evaluation of this formation was accomplished using wireline data, core data, pressure data, and seismic data from the US DOE-funded Illinois BasinĖDecatur Project (IBDP) being conducted by the Midwest Geological Sequestration Consortium in Macon County, Illinois. In 2010, technical performance evaluations on the Cambrian Potosi Formation were performed through reservoir modeling. The data included formation tops from mud logs, well logs from the VW1 and the CCS1 wells, structural and stratigraphic formation from three dimensional (3D) seismic data, and field data from several waste water injection wells for Potosi Formation. Intention was for two million tons per annum (MTPA) of CO2 to be injected for 20 years. In the preceding, the 2010 Potosi heterogeneous model (referred to as the "Potosi Dynamic Model 2010" in this topical report) was re-run using a new injection scenario; 3.2 MTPA for 30 years. The extent of the Potosi Dynamic Model 2010, however, appeared too small for the new injection target. It was not sufficiently large enough to accommodate the evolution of the plume. The new model, Potosi Dynamic Model 2013a, was built by extending the Potosi Dynamic Model 2010 grid to 30 miles x 30 miles (48.3km x48.3km), while preserving all property modeling workflows and layering. This model was retained as the base case of Potosi Dynamic Model 2013a. The Potosi reservoir model was updated to take into account the new data from the verification well VW2 which was drilled in 2012. The new porosity and permeability modeling was performed to take into account the log data from the new well. Revisions of the 2010 modeling assumptions were also done on relative permeability, capillary pressures, formation water salinity, and the maximum allowable well bottomhole pressure. Dynamic simulations were run using the injection target of 3.2 MTPA for 30 years. This new dynamic model was named Potosi Dynamic Model 2013b. Due to the major uncertainties on the vugs permeability, two models were built; the Pessimistic and Optimistic Cases. The Optimistic Case assumes vugs permeability of 9,000 mD, which is analog to the vugs permeability identified in the pressure fall off test of a waste water injector in the Tuscola site, approx. 40 miles (64.4km) away from the IBDP area. The Pessimistic Case assumes that the vugs permeability is equal to the log data, which does not take into account the permeability from secondary porosity. The probability of such case is deemed low and could be treated as the worst case scenario, since the contribution of secondary porosity to the permeability is neglected and the loss circulation events might correspond to a much higher permeability. It is considered important, however, to identify the range of possible reservoir performance since there are no rigorous data available for the vugs permeability. The Optimistic Case gives an average CO2 injection rate of 0.8 MTPA and cumulative injection of 26 MT in 30 years, which corresponds to 27% of the injection target. The injection rate is approx. 3.2 MTPA in the first year as the well is injecting into the surrounding vugs, and declines rapidly to 0.8 MTPA in year 4 once the surrounding vugs are full and the CO2 start to reach the matrix. This implies that according to this preliminary model, a minimum of four (4) wells could be required to achieve the injection target. This result is lower than the injectivity estimated in the Potosi Dynamic Model 2013a (43 MT in 30 years), since the permeability model applied in the Potosi Dynamic Model 2013b is more conservative. This revision was deemed necessary to treat the uncerta

  18. All-optical Reservoir Computing

    E-Print Network [OSTI]

    Duport, FranÁois; Smerieri, Anteo; Haelterman, Marc; Massar, Serge

    2012-01-01

    Reservoir Computing is a novel computing paradigm which uses a nonlinear recurrent dynamical system to carry out information processing. Recent electronic and optoelectronic Reservoir Computers based on an architecture with a single nonlinear node and a delay loop have shown performance on standardized tasks comparable to state-of-the-art digital implementations. Here we report an all-optical implementation of a Reservoir Computer, made of off-the-shelf components for optical telecommunications. It uses the saturation of a semiconductor optical amplifier as nonlinearity. The present work shows that, within the Reservoir Computing paradigm, all-optical computing with state-of-the-art performance is possible.

  19. Discrete Fracture Reservoir Simulation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalentLaboratory | National NuclearDiscoveringDiscrete Fracture Reservoir

  20. revision:19950904 modified:19950904

    E-Print Network [OSTI]

    Shelah, Saharon

    291 revision:1995­09­04 modified:1995­09­04 A Variety with Solvable, but not Uniformly Solvable #12; 291 revision:1995­09­04 modified:1995­09­04 Abstract In the literature two notions decidable, word problem. Other related examples are given as well. #12; 291 revision:1995

  1. revision:20040330 modified:20040330

    E-Print Network [OSTI]

    Shelah, Saharon

    E43 revision:2004­03­30 modified:2004­03­30 # # # # Revised GCH Saharon Shelah March 28, 2004 shelah@math.huji.ac.il The Hebrew University of Jerusalem Rutgers University 1 #12; E43 revision:2004­03­30 modified:2004­03­30 # # # # Dedicated to Azriel Levy Papers are available from Mathematics arXive http

  2. Imperial Reservoir KOFA NATIONAL

    E-Print Network [OSTI]

    Laughlin, Robert B.

    National Park El Centro Naval Auxiliary Air Station Yuma Proving Ground Yuma Marine Corps Air Station Twentynine Palms Marine Corps Base Fort Irwin Chocolate Mountain Naval Aerial Gunnery Range Barstow Marine 247 79 79 7 115 62 72 78 79 86 115 163 18 72 74 78 115 18 62 95 371 95 94 247 Solar Energy Study Areas

  3. 120 GRC BULLETIN Reservoir Engineering

    E-Print Network [OSTI]

    Foulger, G. R.

    of The Geysers geothermal area. The production area is shaded grey. Red dots: seismometers with vertical sensors120 GRC BULLETIN Reservoir Engineering nergy production at geothermal areas causes physical changes Tool Use of Time-Dependent MEQ Tomography for Monitoring Producing Geothermal Reservoirs G. R. Foulger

  4. Water resources review: Ocoee reservoirs, 1990

    SciTech Connect (OSTI)

    Cox, J.P.

    1990-08-01

    Tennessee Valley Authority (TVA) is preparing a series of reports to make technical information on individual TVA reservoirs readily accessible. These reports provide a summary of reservoir purpose and operation; physical characteristics of the reservoir and watershed; water quality conditions; aquatic biological conditions; and designated, actual and potential uses of the reservoir and impairments of those use. This reservoir status report addressed the three Ocoee Reservoirs in Polk County, Tennessee.

  5. ANALYSIS OF PRODUCTION DECLINE IN GEOTHERMAL RESERVOIRS

    E-Print Network [OSTI]

    Zais, E.J.; Bodvarsson, G.

    2008-01-01

    Petroleum Reservoirs. Geothermal Reservoirs IV. DATA1970, Superheating of Geothermal Steam, Proc. of the U.N.the Development & Utilization of Geothermal Resources, Pisa.

  6. Modeling of Geothermal Reservoirs: Fundamental Processes, Computer...

    Open Energy Info (EERE)

    Abstract This article attempts to critically evaluate the present state of the art of geothermal reservoir simulation. Methodological aspects of geothermal reservoir...

  7. Refinement and Theorem Proving Panagiotis Manolios

    E-Print Network [OSTI]

    Manolios, Panagiotis "Pete"

    platforms for pre-fabrication requirements testing; as a theorem prover, it has been used to prove such as our recent improvements to termination analysis [45], etc. ACL2s is available at http://www.cc.gatech.edu/home

  8. Hydrological and Geochemical Investigations of Selenium Behavior at Kesterson Reservoir

    E-Print Network [OSTI]

    Zawislanski, P.T.

    2010-01-01

    Ecological Characterization of Kesterson Reservoir. AnnualEcological Characterization of Kesterson Reservoir. Annual

  9. FRACTURED PETROLEUM RESERVOIRS

    SciTech Connect (OSTI)

    Abbas Firoozabadi

    1999-06-11

    The four chapters that are described in this report cover a variety of subjects that not only give insight into the understanding of multiphase flow in fractured porous media, but they provide also major contribution towards the understanding of flow processes with in-situ phase formation. In the following, a summary of all the chapters will be provided. Chapter I addresses issues related to water injection in water-wet fractured porous media. There are two parts in this chapter. Part I covers extensive set of measurements for water injection in water-wet fractured porous media. Both single matrix block and multiple matrix blocks tests are covered. There are two major findings from these experiments: (1) co-current imbibition can be more efficient than counter-current imbibition due to lower residual oil saturation and higher oil mobility, and (2) tight fractured porous media can be more efficient than a permeable porous media when subjected to water injection. These findings are directly related to the type of tests one can perform in the laboratory and to decide on the fate of water injection in fractured reservoirs. Part II of Chapter I presents modeling of water injection in water-wet fractured media by modifying the Buckley-Leverett Theory. A major element of the new model is the multiplication of the transfer flux by the fractured saturation with a power of 1/2. This simple model can account for both co-current and counter-current imbibition and computationally it is very efficient. It can be orders of magnitude faster than a conventional dual-porosity model. Part II also presents the results of water injection tests in very tight rocks of some 0.01 md permeability. Oil recovery from water imbibition tests from such at tight rock can be as high as 25 percent. Chapter II discusses solution gas-drive for cold production from heavy-oil reservoirs. The impetus for this work is the study of new gas phase formation from in-situ process which can be significantly different from that of gas displacement processes. The work is of experimental nature and clarifies several misconceptions in the literature. Based on experimental results, it is established that the main reason for high efficiency of solution gas drive from heavy oil reservoirs is due to low gas mobility. Chapter III presents the concept of the alteration of porous media wettability from liquid-wetting to intermediate gas-wetting. The idea is novel and has not been introduced in the petroleum literature before. There are significant implications from such as proposal. The most direct application of intermediate gas wetting is wettability alteration around the wellbore. Such an alteration can significantly improve well deliverability in gas condensate reservoirs where gas well deliverability decreases below dewpoint pressure. Part I of Chapter III studies the effect of gravity, viscous forces, interfacial tension, and wettability on the critical condensate saturation and relative permeability of gas condensate systems. A simple phenomenological network model is used for this study, The theoretical results reveal that wettability significantly affects both the critical gas saturation and gas relative permeability. Gas relative permeability may increase ten times as contact angle is altered from 0{sup o} (strongly liquid wet) to 85{sup o} (intermediate gas-wetting). The results from the theoretical study motivated the experimental investigation described in Part II. In Part II we demonstrate that the wettability of porous media can be altered from liquid-wetting to gas-wetting. This part describes our attempt to find appropriate chemicals for wettability alteration of various substrates including rock matrix. Chapter IV provides a comprehensive treatment of molecular, pressure, and thermal diffusion and convection in porous media Basic theoretical analysis is presented using irreversible thermodynamics.

  10. Reservoir characterization based on tracer response and rank analysis of production and injection rates

    SciTech Connect (OSTI)

    Refunjol, B.T.; Lake, L.W.

    1997-08-01

    Quantification of the spatial distribution of properties is important for many reservoir-engineering applications. But, before applying any reservoir-characterization technique, the type of problem to be tackled and the information available should be analyzed. This is important because difficulties arise in reservoirs where production records are the only information for analysis. This paper presents the results of a practical technique to determine preferential flow trends in a reservoir. The technique is a combination of reservoir geology, tracer data, and Spearman rank correlation coefficient analysis. The Spearman analysis, in particular, will prove to be important because it appears to be insightful and uses injection/production data that are prevalent in circumstances where other data are nonexistent. The technique is applied to the North Buck Draw field, Campbell County, Wyoming. This work provides guidelines to assess information about reservoir continuity in interwell regions from widely available measurements of production and injection rates at existing wells. The information gained from the application of this technique can contribute to both the daily reservoir management and the future design, control, and interpretation of subsequent projects in the reservoir, without the need for additional data.

  11. Rock Physics Based Determination of Reservoir Microstructure for Reservoir Characterization†

    E-Print Network [OSTI]

    Adesokan, Hamid 1976-

    2013-01-09

    of pore shape distribution is needed to explain the often-encountered complex interrelationship between seismic parameters (e.g. seismic velocity) and the independent physical properties (e.g. porosity) of hydrocarbon reservoirs. However, our knowledge...

  12. ANNOTATED RESEARCH BIBLIOGRAPHY FOR GEOTHERMAL RESERVOIR ENGINEERING

    E-Print Network [OSTI]

    Sudo!, G.A

    2012-01-01

    reservoir engineering research program a t the University of Colorado is described. Physical characterization

  13. Reservoir characterization using wavelet transforms†

    E-Print Network [OSTI]

    Rivera Vega, Nestor

    2004-09-30

    Automated detection of geological boundaries and determination of cyclic events controlling deposition can facilitate stratigraphic analysis and reservoir characterization. This study applies the wavelet transformation, a recent advance in signal...

  14. Montana Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYear Jan Feb Mar Apr MayYearperProved Reserves

  15. revision:19951120 modified:19951201

    E-Print Network [OSTI]

    Shelah, Saharon

    609 revision:1995­11­20 modified:1995­12­01 A ZFC Dowker space in # #+1 : an application of pcf; 609 revision:1995­11­20 modified:1995­12­01 Exactly two Dowker spaces were constructed in ZFC so far # in this interval is the true cofinality of a 2 #12; 609 revision:1995­11­20 modified:1995­12­01 reduced product # B

  16. Chickamauga reservoir embayment study - 1990

    SciTech Connect (OSTI)

    Meinert, D.L.; Butkus, S.R.; McDonough, T.A.

    1992-12-01

    The objectives of this report are three-fold: (1) assess physical, chemical, and biological conditions in the major embayments of Chickamauga Reservoir; (2) compare water quality and biological conditions of embayments with main river locations; and (3) identify any water quality concerns in the study embayments that may warrant further investigation and/or management actions. Embayments are important areas of reservoirs to be considered when assessments are made to support water quality management plans. In general, embayments, because of their smaller size (water surface areas usually less than 1000 acres), shallower morphometry (average depth usually less than 10 feet), and longer detention times (frequently a month or more), exhibit more extreme responses to pollutant loadings and changes in land use than the main river region of the reservoir. Consequently, embayments are often at greater risk of water quality impairments (e.g. nutrient enrichment, filling and siltation, excessive growths of aquatic plants, algal blooms, low dissolved oxygen concentrations, bacteriological contamination, etc.). Much of the secondary beneficial use of reservoirs occurs in embayments (viz. marinas, recreation areas, parks and beaches, residential development, etc.). Typically embayments comprise less than 20 percent of the surface area of a reservoir, but they often receive 50 percent or more of the water-oriented recreational use of the reservoir. This intensive recreational use creates a potential for adverse use impacts if poor water quality and aquatic conditions exist in an embayment.

  17. SMALL, GEOLOGICALLY COMPLEX RESERVOIRS CAN BENEFIT FROM RESERVOIR SIMULATION

    SciTech Connect (OSTI)

    Richard E. Bennett

    2002-06-24

    The Cascade Sand zone of the Mission-Visco Lease in the Cascade Oil field of Los Angeles County, California, has been under water flood since 1970. Increasing water injection to increase oil production rates was being considered as an opportunity to improve oil recovery. However, a secondary gas cap had formed in the up-dip portion of the reservoir with very low gas cap pressures, creating concern that oil could be displaced into the gas cap resulting in the loss of recoverable oil. Therefore, injecting gas into the gas cap to keep the gas cap pressurized and restrict the influx of oil during water injection was also being considered. Further, it was recognized that the reservoir geology in the gas cap area is very complex with numerous folding and faulting and thus there are potential pressure barriers in several locations throughout the reservoir. With these conditions in mind, there were concerns regarding well to well continuity in the gas cap, which could interfere with the intended repressurization impact. Concerns about the pattern of gas flow from well to well, the possibilities of cycling gas without the desired increased pressure, and the possible loss of oil displaced into the gas cap resulted in the decision to conduct a gas tracer survey in an attempt to better define inter-well communication. Following the gas tracer survey, a reservoir model would be developed to integrate the findings of the gas tracer survey, known geologic and reservoir data, and historic production data. The reservoir model would be used to better define the reservoir characteristics and provide information that could help optimize the waterflood-gas injection project under consideration for efficient water and gas injection management to increase oil production. However, due to inadequate gas sampling procedures in the field and insufficiently developed laboratory analytical techniques, the laboratory was unable to detect the tracer in the gas samples taken. At that point, focus on, and an expansion of the scope of the reservoir simulation and modeling effort was initiated, using DOE's BOAST98 (a visual, dynamic, interactive update of BOAST3), 3D, black oil reservoir simulation package as the basis for developing the reservoir model. Reservoir characterization, modeling, and reservoir simulation resulted in a significant change in the depletion strategy. Information from the reservoir characterization and modeling effort indicate that in-fill drilling and relying on natural water influx from the aquifer could increase remaining reserves by 125,000 barrels of oil per well, and that up to 10 infill wells could be drilled in the field. Through this scenario, field production could be increased two to three times over the current 65 bopd. Based on the results of the study, permits have been applied for to drill a directional infill well to encounter the productive zone at a high angle in order to maximize the amount of pay and reservoirs encountered.

  18. Reservoir characterization of Pennsylvanian Sandstone Reservoirs. Annual report

    SciTech Connect (OSTI)

    Kelkar, M.

    1992-09-01

    This annual report describes the progress during the second year of a project on Reservoir Characterization of Pennsylvanian Sandstone Reservoirs. The report is divided into three sections: (i) reservoir description and scale-up procedures; (ii) outcrop investigation; (iii) in-fill drilling potential. The first section describes the methods by which a reservoir can be characterized, can be described in three dimensions, and can be scaled up with respect to its properties, appropriate for simulation purposes. The second section describes the progress on investigation of an outcrop. The outcrop is an analog of Bartlesville Sandstone. We have drilled ten wells behind the outcrop and collected extensive log and core data. The cores have been slabbed, photographed and the several plugs have been taken. In addition, minipermeameter is used to measure permeabilities on the core surface at six inch intervals. The plugs have been analyzed for the permeability and porosity values. The variations in property values will be tied to the geological descriptions as well as the subsurface data collected from the Glen Pool field. The third section discusses the application of geostatistical techniques to infer in-fill well locations. The geostatistical technique used is the simulated annealing technique because of its flexibility. One of the important reservoir data is the production data. Use of production data will allow us to define the reservoir continuities, which may in turn, determine the in-fill well locations. The proposed technique allows us to incorporate some of the production data as constraints in the reservoir descriptions. The technique has been validated by comparing the results with numerical simulations.

  19. Proving the Correctness of Coroutines without History

    E-Print Network [OSTI]

    Clarke, Edmund M.

    Proving the Correctness of Coroutines without History Variables Edmund M. Clarke (Duke University) Abstract We examine the question of whether history variables are necessary in formal proofs of correctness for coroutines. History v ~ are special variables which are added to a program to facilitate its Droof

  20. Distributed Theorem Proving for Distributed Hybrid Systems

    E-Print Network [OSTI]

    Platzer, Andrť

    system with a varying number of arbitrarily many cars. 1 Introduction Hybrid systems with joint discrete a multi-agent system, e.g., distributed car control systems. Such systems form distributed hybrid systemsDistributed Theorem Proving for Distributed Hybrid Systems David W. Renshaw, Sarah M. Loos

  1. U.S. Associated-Dissolved Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData Files Transportation and EnergyReservoirReserves

  2. revision:19950829 modified:19950829

    E-Print Network [OSTI]

    Shelah, Saharon

    595 revision:1995­08­29 modified:1995­08­29 Embedding Cohen algebras using pcf theory Saharon and Department of Mathematics Rutgers University New Brunswick, NJ 08854, USA done: July 1995 printed: October 6 and Humanities. Publication 595. 1 #12; 595 revision:1995­08­29 modified:1995­08­29 Sh:595 October 6, 2003 2 3

  3. revision:19951225 modified:19951226

    E-Print Network [OSTI]

    Shelah, Saharon

    496 revision:1995­12­25 modified:1995­12­26 ``Menas' Result is Best Possible'' by Arthur W. Apter Brunswick, New Jersey 08904 December 11, 1995 Abstract: Generalizing some earlier techniques due supporting this research. 1 #12; 496 revision:1995­12­25 modified:1995­12­26 §0 Introduction

  4. revision:19950418 modified:19950422

    E-Print Network [OSTI]

    Shelah, Saharon

    571 revision:1995­04­18 modified:1995­04­22 A consistency result on weak reflection James Cummings The research for this paper was done in the period July 1994 -- January 1995. 1 #12; 571 revision:1995­04­18 modified:1995­04­22 have an unbounded set of cofinalities at which strong non­reflection holds

  5. revision:19950923 modified:19950923

    E-Print Network [OSTI]

    Shelah, Saharon

    (456) revision:1995­09­23 modified:1995­09­23 UNIVERSAL IN (­Israel Binational Science Foundation; Pub. No.456 Typeset by A M S­T E X 1 #12; (456) revision:1995­09­23 modified:1995­09­23 2 SAHARON SHELAH We deal with the existence of reduced separable (abelian) groups

  6. STATUS OF GEOTHERMAL RESERVOIR ENGINEERING MANAGEMENT PROGRAM ("GREMP") -DECEMBER, 1979

    E-Print Network [OSTI]

    Howard, J. H.

    2012-01-01

    the characteristics of a geothermal reservoir: Items 2, 6,new data important to geothermal reservoir engineering prac-forecast performance of the geothermal reservoir and bore

  7. Integration of well test analysis into naturally fractured reservoir simulation†

    E-Print Network [OSTI]

    Perez Garcia, Laura Elena

    2006-04-12

    Naturally fractured reservoirs (NFR) represent an important percentage of the worldwide hydrocarbon reserves and production. Reservoir simulation is a fundamental technique in characterizing this type of reservoir. Fracture ...

  8. A STOCHASTIC METHOD FOR MODELING FLUID DISPLACEMENT IN PETROLEUM RESERVOIRS

    E-Print Network [OSTI]

    Anderson, C.

    2011-01-01

    FLUID DISPLACEMENT IN PETROLEUM RESERVOIRS C. Anderson andFLUID DISPLACEMENT IN PETROLEUM RESERVOIRS C. Anderson andachieve optimal recovery of petroleum from a reservoir, it

  9. THMC Modeling of EGS Reservoirs ? Continuum through Discontinuum...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    THMC Modeling of EGS Reservoirs Continuum through Discontinuum Representations: Capturing Reservoir Stimulation, Evolution and Induced Seismicity THMC Modeling of EGS Reservoirs...

  10. U.S. Coalbed Methane Proved Reserves Revision Decreases (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of the National EnergyAdjustments (Billion

  11. U.S. Coalbed Methane Proved Reserves Revision Increases (Billion Cubic

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of the National EnergyAdjustments (BillionFeet) Increases

  12. U.S. Shale Proved Reserves Revision Decreases (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of theCubic Feet)49,797.6

  13. U.S. Shale Proved Reserves Revision Increases (Billion Cubic Feet)

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal,Demand Module of theCubic Feet)49,797.6Increases (Billion Cubic Feet)

  14. Ninth workshop on geothermal reservoir engineering: Proceedings

    SciTech Connect (OSTI)

    Ramey, H.J. Jr.; Kruger, P.; Miller, F.G.; Horne, R.N.; Brigham, W.E.; Gudmundsson, J.S.

    1983-12-15

    The attendance at the Workshop was similar to last year's with 123 registered participants of which 22 represented 8 foreign countries. A record number of technical papers (about 60) were submitted for presentation at the Workshop. The Program Committee, therefore, decided to have several parallel sessions to accommodate most of the papers. This format proved unpopular and will not be repeated. Many of the participants felt that the Workshop lost some of its unique qualities by having parallel sessions. The Workshop has always been held near the middle of December during examination week at Stanford. This timing was reviewed in an open discussion at the Workshop. The Program Committee subsequently decided to move the Workshop to January. The Tenth Workshop will be held on January 22-24, 1985. The theme of the Workshop this year was ''field developments worldwide''. The Program Committee addressed this theme by encouraging participants to submit field development papers, and by inviting several international authorities to give presentations at the Workshop. Field developments in at least twelve countries were reported: China, El Salvador, France, Greece, Iceland, Italy, Japan, Kenya, Mexico, New Zealand, the Philippines, and the United States. There were 58 technical presentations at the Workshop, of which 4 were not made available for publication. Several authors submitted papers not presented at the Workshop. However, these are included in the 60 papers of these Proceedings. The introductory address was given by Ron Toms of the U.S. Department of Energy, and the banquet speaker was A1 Cooper of Chevron Resources Company. An important contribution was made to the Workshop by the chairmen of the technical sessions. Other than Stanford Geothermal Program faculty members, they included: Don White (Field Developments), Bill D'Olier (Hydrothermal Systems), Herman Dykstra (Well Testing), Karsten Pruess (Well Testing), John Counsil (Reservoir Chemistry), Malcolm Mossman (Reservoir Chemistry), Greg Raasch (Production), Manny Nathenson (Injection), Susan Petty (Injection), Subir Sanyal (Simulation), Marty Molloy (Petrothermal), and Allen Moench (Reservoir Physics). The Workshop was organized by the Stanford Geothermal Program faculty, staff and students. We would like to thank Jean Cook, Joanne Hartford, Terri Ramey, Amy Osugi, and Marilyn King for their valued help with the Workshop arrangements and the Proceedings. We also owe thanks to the program students who arranged and operated the audio-visual equipment. The Ninth Workshop was supported by the Geothermal and Hydropower Technologies Division of the U . S . Department of Energy through contract DE-AT03-80SF11459. We deeply appreciate this continued support. H. J. Ramey, Jr., R. N. Horne, P. Kruger, W. E. Brigham, F. G. Miller, J. S . Gudmundsson -vii

  15. 530revision:1995-09-04modified:1995-09-04 A model in which every Boolean algebra has

    E-Print Network [OSTI]

    Shelah, Saharon

    530revision:1995-09-04modified:1995-09-04 A model in which every Boolean algebra has many by the Basic Research Fund of the Israel Academy of Science. Paper number 530. 1 #12;530revision:1995-09-04modified:1995-09-04 1 Definitions and facts In this section we give some basic definitions, and prove

  16. Seismic modeling of complex stratified reservoirs

    E-Print Network [OSTI]

    Lai, Hung-Liang

    2009-05-15

    Turbidite reservoirs in deep-water depositional systems, such as the oil fields in the offshore Gulf of Mexico and North Sea, are becoming an important exploration target in the petroleum industry. Accurate seismic reservoir characterization...

  17. Modeling well performance in compartmentalized gas reservoirs

    E-Print Network [OSTI]

    Yusuf, Nurudeen

    2008-10-10

    for consolidated reservoir cases while synthetic data (generated by the model using known parameters) was used for unconsolidated reservoir cases. In both cases, the Compartmentalized Depletion Model was used to analyze data, and estimate the OGIP and Jg of each...

  18. Optimizing injected solvent fraction in stratified reservoirs

    E-Print Network [OSTI]

    Moon, Gary Michael

    1993-01-01

    Waterflooding has become standard practice for extending the productive life of many solution gas drive reservoirs, but has the disadvantage of leaving a substantial residual oil volume in the reservoir. Solvent flooding has been offered as a...

  19. Modeling well performance in compartmentalized gas reservoirs

    E-Print Network [OSTI]

    Yusuf, Nurudeen

    2009-05-15

    and performance characteristics of each compartment in such reservoirs given production data. A geomechanics model was developed using available correlation in the industry to estimate variable pore volume compressibility, reservoir compaction and permeability...

  20. Kansas Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWellsMillionReservesReserves (Billion CubicThousandProved

  1. Michigan Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014 MEMORANDUMProvedFeet) Year JanProved Reserves

  2. Arkansas Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - NaturalYear Jan FebProved Reserves

  3. Ohio Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+ LeaseWellhead Price (DollarsThousandProved

  4. Pennsylvania Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2Feet) Year Jan Feb Mar Apr May JunProved Reserves

  5. U.S. Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009 2010 2011 2012 2013 20142009

  6. Virginia Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2 Year-3

  7. Wyoming Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic Feet) Gas, Wet After

  8. Alabama Dry Natural Gas Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic(Million CubicWorking Gas1) Part2,871 2,629

  9. Alaska Dry Natural Gas Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304 1,670Same0 1 2Cubic3,5669,101

  10. Arkansas Dry Natural Gas Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570MonthThousand8 0.8 0.8 0.622 28

  11. CA, Coastal Region Onshore Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724per ThousandLease0 0 20 0Cubic163 17351 199

  12. CA, State Offshore Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724per ThousandLease0 0and164 167 200 1985746 47

  13. California Dry Natural Gas Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724per ThousandLease0Year Jan,835 2,939Year

  14. Colorado Dry Natural Gas Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948CaliforniaFeet) (Million,914 1,886CubicYear

  15. Federal Offshore, Pacific (California) Proved Nonproducing Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun20032,485,331Gas ProvedDec.12 13 13 25 17 18

  16. Language of a fly proves surprising

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand CubicResourcelogo and mastheadLakeLanguage of a fly proves

  17. Analysis of Geothermal Reservoir Stimulation using Geomechanics...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    between micro-seismicity; reservoir flow and geomechanical characteristics. seismicghassmireservoirstimulation.pdf More Documents & Publications Analysis of...

  18. GEOTHERMAL RESERVOIR SIMULATIONS WITH SHAFT79

    E-Print Network [OSTI]

    Pruess, Karsten

    2012-01-01

    Krafla reservoir. Temperature, pressure and vapor saturationreservoirs because i∑t does not residual immobile steam saturation

  19. Reservoir-Stimulation Optimization with Operational Monitoring...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Optimization with Operational Monitoring for Creation of Enhanced Geothermal Systems Reservoir-Stimulation Optimization with Operational Monitoring for Creation...

  20. COMMUNICATION Revised 2006

    E-Print Network [OSTI]

    Texas at Arlington, University of

    Z HAZARD COMMUNICATION PROGRAM Revised 2006 Environmental Health & Safety #12;TABLE OF CONTENTS................................................................................................. 1 B. Applicability of THCA (Texas Hazard Communication Act) 502............. 1 C. Definitions ................................................... 14 A. Hazard Communication Coordinator/Safety Representatives................... 15 B. Employee

  1. Simulation of naturally fractured reservoirs

    SciTech Connect (OSTI)

    Saidi, A.M.

    1983-11-01

    A three-dimensional, three-phase reservoir simulator was developed to study the behavior of fully or partially fractured reservoirs. It is also demonstrated, that when a fractured reservoir is subject to a relatively large rate of pressure drop and/or it composed of relatively large blocks, the pseudo steady-state pressure concept gives large errors as compared with transient fromulation. In addition, when gravity drainage and imbibitum processes, which is the most important mechanism in the fractured reservoirs, are represented by a ''lumped parameter'' even larger errors can be produced in exchange flow between matrix and fractures. For these reasons, the matrix blocks are gridded and the transfer between matrix and fractures are calculated using pressure and diffusion transient concept. In this way the gravity drainage is also calculated accurately. As the matrix-fracture exchange flow depends on the location of each matrix grid relative to the GOC and/or WOC in fracture, the exchange flow equation are derived and given for each possible case. The differential equation describing the flow of water, oil, and gas within the matrix and fracture system, each of which may contain six unknowns, are presented. The two sets of equations are solved implicitly for pressure water, and gas stauration in both matrix and fractures. The first twenty two years of the history of Haft Kel field was successfully matched with this model and the results are included.

  2. HIGH TEMPERATURE GEOTHERMAL RESERVOIR ENGINEERING

    E-Print Network [OSTI]

    Schroeder, R.C.

    2009-01-01

    on the Cerro P r i e t o Geothermal F i e l d , Mexicali,e C e r r o P r i e t o Geothermal F i e l d , Baja C a l i1979 HIGH TEMPERATURE GEOTHERMAL RESERVOIR ENGINEERING R.

  3. Petroleum Engineering 310 Reservoir Fluids

    E-Print Network [OSTI]

    of oilfield brine properties: Salinity, Bubble Point, formation volume factor, density and solution gas water12 Petroleum Engineering 310 Reservoir Fluids Credit 4: (3-3) Required for Juniors Catalog: Gas Formation Volume Factor. Viscosity. Wet Gas Gravity and Isothermal Compressibility. 5. Definition

  4. -Injection Technology -Geothermal Reservoir Engineering

    E-Print Network [OSTI]

    Stanford University

    For the Period October 1, 1985 through September 30, 1986 DE-ASO7-84ID12529 Stanford Geothermal Program was initiated in fiscal year 1981. The report covers the period from October 1, 1985 through September 30, 1986SGP-TR-107 - Injection Technology - Geothermal Reservoir Engineering Research at Stanford Principal

  5. Hydroelectric Reservoirs -the Carbon Dioxide and Methane

    E-Print Network [OSTI]

    Fischlin, Andreas

    Hydroelectric Reservoirs - the Carbon Dioxide and Methane Emissions of a "Carbon Free" Energy an overview on the greenhouse gas production of hydroelectric reservoirs. The goals are to point out the main how big the greenhouse gas emissions from hydroelectric reservoirs are compared to thermo-power plants

  6. Tenth workshop on geothermal reservoir engineering: proceedings

    SciTech Connect (OSTI)

    Not Available

    1985-01-22

    The workshop contains presentations in the following areas: (1) reservoir engineering research; (2) field development; (3) vapor-dominated systems; (4) the Geysers thermal area; (5) well test analysis; (6) production engineering; (7) reservoir evaluation; (8) geochemistry and injection; (9) numerical simulation; and (10) reservoir physics. (ACR)

  7. Analysis of reservoir performance and forecasting for the eastern area of the C-2 Reservoir, Lake Maracaibo, Venezuela†

    E-Print Network [OSTI]

    Urdaneta Anez, Jackeline C

    2001-01-01

    for the entire reservoir that considers the new geological model developed during reservoir description. Furthermore, it provides PDVSA with a powerful tool for planning and reservoir management decisions, especially in the eastern area of the reservoir...

  8. Naturally fractured reservoirs contain a significant amount of the world oil reserves. A number of these reservoirs contain several

    E-Print Network [OSTI]

    Arbogast, Todd

    Summary Naturally fractured reservoirs contain a significant amount of the world oil reserves simulation of naturally fractured reservoirs is one of the most important, challenging, and computationally intensive problems in reservoir engineering. Parallel reservoir simulators developed for naturally fractured

  9. revision:19950904 modified:19950904

    E-Print Network [OSTI]

    Shelah, Saharon

    530 revision:1995­09­04 modified:1995­09­04 A model in which every Boolean algebra has many:1995­09­04 modified:1995­09­04 1 Definitions and facts In this section we give some basic definitions­ algebras using the following well­known fact. 2 #12; 530 revision:1995­09­04 modified:1995­09­04 Fact 1

  10. Increasing Waterflooding Reservoirs in the Wilmington Oil Field through Improved Reservoir Characterization and Reservoir Management, Class III

    SciTech Connect (OSTI)

    Koerner, Roy; Clarke, Don; Walker, Scott; Phillips, Chris; Nguyen, John; Moos, Dan; Tagbor, Kwasi

    2001-08-07

    This project was intended to increase recoverable waterflood reserves in slope and basin reservoirs through improved reservoir characterization and reservoir management. The particular application of this project is in portions of Fault Blocks IV and V of the Wilmington Oil Field, in Long Beach, California, but the approach is widely applicable in slope and basin reservoirs, transferring technology so that it can be applied in other sections of the Wilmington field and by operators in other slope and basin reservoirs is a primary component of the project.

  11. The role of reservoir characterization in the reservoir management process (as reflected in the Department of Energy`s reservoir management demonstration program)

    SciTech Connect (OSTI)

    Fowler, M.L.; Young, M.A.; Madden, M.P.

    1997-08-01

    Optimum reservoir recovery and profitability result from guidance of reservoir practices provided by an effective reservoir management plan. Success in developing the best, most appropriate reservoir management plan requires knowledge and consideration of (1) the reservoir system including rocks, and rock-fluid interactions (i.e., a characterization of the reservoir) as well as wellbores and associated equipment and surface facilities; (2) the technologies available to describe, analyze, and exploit the reservoir; and (3) the business environment under which the plan will be developed and implemented. Reservoir characterization is the essential to gain needed knowledge of the reservoir for reservoir management plan building. Reservoir characterization efforts can be appropriately scaled by considering the reservoir management context under which the plan is being built. Reservoir management plans de-optimize with time as technology and the business environment change or as new reservoir information indicates the reservoir characterization models on which the current plan is based are inadequate. BDM-Oklahoma and the Department of Energy have implemented a program of reservoir management demonstrations to encourage operators with limited resources and experience to learn, implement, and disperse sound reservoir management techniques through cooperative research and development projects whose objectives are to develop reservoir management plans. In each of the three projects currently underway, careful attention to reservoir management context assures a reservoir characterization approach that is sufficient, but not in excess of what is necessary, to devise and implement an effective reservoir management plan.

  12. 4. International reservoir characterization technical conference

    SciTech Connect (OSTI)

    1997-04-01

    This volume contains the Proceedings of the Fourth International Reservoir Characterization Technical Conference held March 2-4, 1997 in Houston, Texas. The theme for the conference was Advances in Reservoir Characterization for Effective Reservoir Management. On March 2, 1997, the DOE Class Workshop kicked off with tutorials by Dr. Steve Begg (BP Exploration) and Dr. Ganesh Thakur (Chevron). Tutorial presentations are not included in these Proceedings but may be available from the authors. The conference consisted of the following topics: data acquisition; reservoir modeling; scaling reservoir properties; and managing uncertainty. Selected papers have been processed separately for inclusion in the Energy Science and Technology database.

  13. Environmental Programs Procedure Preparation, Revision, Review...

    Energy Savers [EERE]

    Environmental Programs Procedure Preparation, Revision, Review, Approval, and Use Environmental Programs Procedure Preparation, Revision, Review, Approval, and Use The documents...

  14. Olig sand, shallow oil zone, Elk Hills Field, Kern County, California: General reservoir study

    SciTech Connect (OSTI)

    Not Available

    1986-08-01

    The Olig Sand Reservoirs, classified as part of the Shallow Oil Zone, were studied and evaluated. The reservoirs are located in Section 30R, T30S, R23E and Section 24Z, T30S, R22E, M.D.B. and M., all in Elk Hills Oil Field, Naval Petroleum Reserve No. 1, Kern County, California. The three productive reservoirs studied cover an area of 255 acres, and originally contained 3311 MMCF of gas condensate in 4292 acre-feet of sand. The main reservoir, Fault Block I in Section 30R, has been on production since 1982 and is largely depleted. The reservoirs around wells 324-30R and 385-24Z should still be in a virgin state. They can be depleted either through those wells, when their service as Stevens Zone producers is completed, or by twin well replacements drilled specifically as Olig Sand completions. Thirty-six exhibits have been included to present basic data and study results in a manner that will enhance the readers's understanding of the reservoirs. These exhibits include six maps in the M-series, six sections in the S-Series, and fourteen figures in the F-Series, as well as ten tables. The Appendix includes miscellaneous basic data such as well logs, core analyses, pressure measurements, and well tests. The Calculations Section of the report develops and explains the analytical methods used to define well productivity, determine reserves, and schedule future production of those reserves. Although no MER recommendations have been made for these gas condensate reservoirs, recommended depletion schemes and schedules are presented. These schemes include one eventual recompletion and one new well to maximize present worth of these reservoirs which carry proved reserves of 289 MMCF and probable reserves of 853 MMCF, effective August 1, 1986. In addition, potential future testing is earmarked for wells 322-30R and 344-30R. 11 refs., 14 figs., 10 tabs.

  15. Virginia Coalbed Methane Proved Reserves, Reserves Changes, and...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    1,851 2,261 1,752 1,623 1,535 1,387 2005-2013 Adjustments 0 1 26 49 -12 2009-2013 Revision Increases 219 16 87 30 87 2009-2013 Revision Decreases 0 459 199 71 201 2009-2013 Sales 0...

  16. TX, RRC District 3 Onshore Coalbed Methane Proved Reserves, Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    71 47 2005-2013 Adjustments 0 0 0 81 -17 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  17. Texas Coalbed Methane Proved Reserves, Reserves Changes, and...

    Gasoline and Diesel Fuel Update (EIA)

    0 0 0 0 81 57 2005-2013 Adjustments 0 0 0 92 -16 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0...

  18. TX, RRC District 10 Coalbed Methane Proved Reserves, Reserves...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    8 7 2005-2013 Adjustments 0 0 0 9 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  19. Montana Coalbed Methane Proved Reserves, Reserves Changes, and...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    75 37 64 25 11 16 2005-2013 Adjustments 0 11 -30 17 10 2009-2013 Revision Increases 0 23 0 0 0 2009-2013 Revision Decreases 29 0 3 28 4 2009-2013 Sales 0 0 0 0 0 2009-2013...

  20. Federal Offshore U.S. Coalbed Methane Proved Reserves, Reserves...

    Gasoline and Diesel Fuel Update (EIA)

    0 0 0 0 0 0 2005-2013 Adjustments 0 0 0 0 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  1. NM, West Coalbed Methane Proved Reserves, Reserves Changes, and...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    3,461 3,172 3,009 2,851 2,410 2,851 2005-2013 Adjustments -9 257 -167 56 51 2009-2013 Revision Increases 443 490 551 255 1,291 2009-2013 Revision Decreases 323 565 277 485 587...

  2. Colorado Coalbed Methane Proved Reserves, Reserves Changes, and...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    8,238 7,348 6,485 6,580 5,074 4,391 1989-2013 Adjustments 0 106 73 181 75 2009-2013 Revision Increases 126 937 698 343 789 2009-2013 Revision Decreases 566 1,557 367 1,566 1,023...

  3. Arkansas Coalbed Methane Proved Reserves, Reserves Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    31 22 28 21 10 13 2005-2013 Adjustments 0 1 0 0 0 2009-2013 Revision Increases 3 9 0 1 5 2009-2013 Revision Decreases 0 1 3 10 0 2009-2013 Sales 31 0 0 0 0 2009-2013 Acquisitions...

  4. North Louisiana Coalbed Methane Proved Reserves, Reserves Changes...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    9 0 0 0 0 0 2005-2013 Adjustments 0 0 0 0 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 8 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  5. North Dakota Coalbed Methane Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    0 0 0 0 0 0 2005-2013 Adjustments 0 0 0 0 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

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

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    0 0 0 0 0 0 2005-2013 Adjustments 0 0 0 0 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  7. Wyoming Coalbed Methane Proved Reserves, Reserves Changes, and...

    Gasoline and Diesel Fuel Update (EIA)

    ,781 2,328 2,683 2,539 1,736 1,810 2000-2013 Adjustments -4 329 98 -32 -84 2009-2013 Revision Increases 609 575 504 242 412 2009-2013 Revision Decreases 725 140 539 541 105...

  8. Kentucky Coalbed Methane Proved Reserves, Reserves Changes, and...

    Gasoline and Diesel Fuel Update (EIA)

    0 0 0 0 0 0 2005-2013 Adjustments 0 0 0 0 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  9. Kansas Coalbed Methane Proved Reserves, Reserves Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    301 163 258 228 183 189 2005-2013 Adjustments -3 -22 -6 53 -35 2009-2013 Revision Increases 8 157 24 21 71 2009-2013 Revision Decreases 107 0 14 85 0 2009-2013 Sales 0 0 0 0 0...

  10. New Mexico Coalbed Methane Proved Reserves, Reserves Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    3,991 3,646 3,532 3,358 2,772 2,856 1989-2013 Adjustments -9 261 -170 56 41 2009-2013 Revision Increases 443 562 562 255 1,362 2009-2013 Revision Decreases 353 565 279 602 587...

  11. Alabama Coalbed Methane Proved Reserves, Reserves Changes, and...

    Gasoline and Diesel Fuel Update (EIA)

    1,727 1,342 1,298 1,210 1,006 413 1989-2013 Adjustments 0 61 -45 21 -166 2009-2013 Revision Increases 17 134 23 16 33 2009-2013 Revision Decreases 316 51 86 150 54 2009-2013 Sales...

  12. Oklahoma Coalbed Methane Proved Reserves, Reserves Changes, and...

    Gasoline and Diesel Fuel Update (EIA)

    511 338 325 274 439 440 2005-2013 Adjustments 1 27 27 764 -200 2009-2013 Revision Increases 81 82 91 39 280 2009-2013 Revision Decreases 216 84 98 550 12 2009-2013 Sales 6 6 40 21...

  13. NM, East Coalbed Methane Proved Reserves, Reserves Changes, and...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    530 474 523 507 362 5 2005-2013 Adjustments 0 4 -3 0 -10 2009-2013 Revision Increases 0 72 11 0 71 2009-2013 Revision Decreases 30 0 2 117 0 2009-2013 Sales 0 0 0 0 409 2009-2013...

  14. New York Coalbed Methane Proved Reserves, Reserves Changes, and...

    Gasoline and Diesel Fuel Update (EIA)

    0 0 0 0 0 0 2005-2013 Adjustments 0 0 0 0 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  15. Utah Coalbed Methane Proved Reserves, Reserves Changes, and Production

    U.S. Energy Information Administration (EIA) Indexed Site

    893 725 718 679 518 523 2000-2013 Adjustments 0 8 9 7 -3 2009-2013 Revision Increases 9 77 46 21 69 2009-2013 Revision Decreases 110 30 31 134 11 2009-2013 Sales 0 0 130 0 0...

  16. TX, RRC District 4 Onshore Coalbed Methane Proved Reserves, Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    1 1 2005-2013 Adjustments 0 0 0 1 0 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  17. West Virginia Coalbed Methane Proved Reserves, Reserves Changes...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    246 220 220 139 107 113 2005-2013 Adjustments 0 0 -1 1 0 2009-2013 Revision Increases 19 15 35 3 15 2009-2013 Revision Decreases 38 25 47 10 1 2009-2013 Sales 0 0 50 17 0 2009-2013...

  18. Lower 48 States Coalbed Methane Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    20,798 18,578 17,508 16,817 13,591 12,392 2005-2013 Adjustments -14 784 -15 1,327 -309 2009-2013 Revision Increases 1,563 2,589 2,071 971 3,123 2009-2013 Revision Decreases 2,486...

  19. TX, RRC District 2 Onshore Coalbed Methane Proved Reserves, Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    1 2 2005-2013 Adjustments 0 0 0 1 1 2009-2013 Revision Increases 0 0 0 0 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 0 2009-2013 Acquisitions 0 0 0 0 0...

  20. NM, East Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    7 35 23 93 178 2007-2013 Adjustments 10 3 66 28 7 2009-2013 Revision Increases 0 1 68 17 30 2009-2013 Revision Decreases 2 2 146 3 6 2009-2013 Sales 0 0 0 0 0 2009-2013...

  1. Pennsylvania Shale Gas Proved Reserves, Reserves Changes, and...

    Gasoline and Diesel Fuel Update (EIA)

    3,790 10,708 23,581 32,681 44,325 2007-2013 Adjustments 450 235 253 -63 953 2009-2013 Revision Increases 299 1,994 5,238 4,411 6,218 2009-2013 Revision Decreases 53 1,583 3,322...

  2. Ohio Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    0 0 0 483 2,319 2007-2013 Adjustments 0 0 16 2009-2013 Revision Increases 0 0 272 2009-2013 Revision Decreases 0 0 98 2009-2013 Sales 0 0 0 2009-2013 Acquisitions 0 0 0 2009-2013...

  3. Michigan Shale Gas Proved Reserves, Reserves Changes, and Production

    U.S. Energy Information Administration (EIA) Indexed Site

    2,894 2,499 2,306 1,947 1,345 1,418 2007-2013 Adjustments -167 305 31 -98 -74 2009-2013 Revision Increases 149 165 140 520 351 2009-2013 Revision Decreases 276 325 151 916 103...

  4. Miscellaneous Shale Gas Proved Reserves, Reserves Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    58 134 121 75 52 25 2007-2013 Adjustments 23 0 49 5 0 2009-2013 Revision Increases 4 17 19 76 3 2009-2013 Revision Decreases 22 77 27 9 29 2009-2013 Sales 0 11 89 14 0 2009-2013...

  5. TX, RRC District 5 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    13,691 16,032 19,747 11,513 13,592 2007-2013 Adjustments 657 105 233 -516 -70 2009-2013 Revision Increases 928 643 3,094 30 2,922 2009-2013 Revision Decreases 587 405 1,405 6,895...

  6. New Mexico Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    36 123 144 176 258 2007-2013 Adjustments 10 3 69 45 18 2009-2013 Revision Increases 2 1 83 18 58 2009-2013 Revision Decreases 2 11 190 56 45 2009-2013 Sales 0 0 0 0 0 2009-2013...

  7. NM, West Shale Gas Proved Reserves, Reserves Changes, and Production

    U.S. Energy Information Administration (EIA) Indexed Site

    29 88 121 83 80 2007-2013 Adjustments 0 0 3 17 11 2009-2013 Revision Increases 2 0 15 1 28 2009-2013 Revision Decreases 0 9 44 53 39 2009-2013 Sales 0 0 0 0 0 2009-2013...

  8. Wyoming Shale Gas Proved Reserves, Reserves Changes, and Production

    U.S. Energy Information Administration (EIA) Indexed Site

    0 0 1 0 216 856 2007-2013 Adjustments 1 -1 0 0 1,167 2009-2013 Revision Increases 0 0 0 4 0 2009-2013 Revision Decreases 1 2 1 0 536 2009-2013 Sales 0 0 0 0 0 2009-2013...

  9. Louisiana Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    9,307 20,070 21,950 13,523 11,483 2007-2013 Adjustments 131 2,347 -172 241 72 2009-2013 Revision Increases 636 1,856 2,002 1,422 1,606 2009-2013 Revision Decreases 826 1,878 3,882...

  10. TX, RRC District 8 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    48 24 90 61 583 649 2007-2013 Adjustments -1 53 -79 249 -21 2009-2013 Revision Increases 2 20 45 19 121 2009-2013 Revision Decreases 22 0 12 47 112 2009-2013 Sales 0 0 0 19 50...

  11. Kentucky Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    20 55 10 41 34 46 2007-2013 Adjustments -1 -1 0 0 0 2009-2013 Revision Increases 44 3 44 1 16 2009-2013 Revision Decreases 3 43 11 4 0 2009-2013 Sales 0 0 45 0 0 2009-2013...

  12. TX, RRC District 1 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    2 435 1,564 5,123 8,340 7,357 2007-2013 Adjustments 5 8 0 47 315 2009-2013 Revision Increases 1 322 2,141 1,852 1,083 2009-2013 Revision Decreases 0 251 48 1,272 2,818 2009-2013...

  13. North Dakota Shale Gas Proved Reserves, Reserves Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    24 368 1,185 1,649 3,147 5,059 2007-2013 Adjustments 101 235 20 253 -72 2009-2013 Revision Increases 119 528 439 901 1,056 2009-2013 Revision Decreases 17 343 290 199 554 2009-2013...

  14. Arkansas Shale Gas Proved Reserves, Reserves Changes, and Production

    U.S. Energy Information Administration (EIA) Indexed Site

    3,833 9,070 12,526 14,808 9,779 12,231 2007-2013 Adjustments 2 63 655 -754 7 2009-2013 Revision Increases 1,585 861 502 1,533 329 2009-2013 Revision Decreases 261 126 141 6,151 239...

  15. Montana Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    125 137 186 192 216 229 2007-2013 Adjustments 8 40 14 -7 -4 2009-2013 Revision Increases 42 14 14 18 31 2009-2013 Revision Decreases 34 16 14 2 28 2009-2013 Sales 2 1 42 3 0...

  16. Texas Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    38,048 49,588 44,778 49,055 2007-2013 Adjustments 990 2,940 450 446 1,694 2009-2013 Revision Increases 2,052 3,580 12,185 3,748 7,294 2009-2013 Revision Decreases 1,267 2,425...

  17. Oklahoma Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    6,389 9,670 10,733 12,572 12,675 2007-2013 Adjustments 1 713 216 393 -253 2009-2013 Revision Increases 1,373 1,352 3,709 3,332 1,392 2009-2013 Revision Decreases 865 2,117...

  18. West Virginia Shale Gas Proved Reserves, Reserves Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    14 688 2,491 6,043 9,408 18,078 2007-2013 Adjustments 140 701 -2 13 1,257 2009-2013 Revision Increases 58 289 702 1,214 1,586 2009-2013 Revision Decreases 13 543 139 962 2,267...

  19. TX, RRC District 6 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    73 1,161 4,381 6,584 4,172 4,633 2007-2013 Adjustments 40 1,968 26 -225 564 2009-2013 Revision Increases 422 1,206 2,322 999 513 2009-2013 Revision Decreases 8 1,319 1,860 2,907...

  20. TX, RRC District 3 Onshore Shale Gas Proved Reserves, Reserves...

    Gasoline and Diesel Fuel Update (EIA)

    0 0 1 6 24 2007-2013 Adjustments 0 0 1 1 -3 2009-2013 Revision Increases 0 0 0 1 2 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 4 2009-2013 Acquisitions 0 0 0 2 0...

  1. TX, RRC District 4 Onshore Shale Gas Proved Reserves, Reserves...

    Gasoline and Diesel Fuel Update (EIA)

    78 565 2,611 3,091 4,377 2007-2013 Adjustments 53 0 185 300 592 2009-2013 Revision Increases 0 66 792 253 174 2009-2013 Revision Decreases 0 12 295 1,160 819 2009-2013 Sales 0 0 75...

  2. TX, RRC District 9 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    10,756 12,573 10,276 9,260 9,580 2007-2013 Adjustments 179 533 42 -483 378 2009-2013 Revision Increases 580 1,044 3,005 200 1,092 2009-2013 Revision Decreases 469 191 5,864...

  3. TX, RRC District 10 Shale Gas Proved Reserves, Reserves Changes...

    Gasoline and Diesel Fuel Update (EIA)

    0 0 0 0 37 37 2007-2013 Adjustments 0 0 -1 11 6 2009-2013 Revision Increases 0 0 0 31 0 2009-2013 Revision Decreases 0 0 0 0 0 2009-2013 Sales 0 0 0 0 1 2009-2013 Acquisitions 0 0...

  4. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION

    SciTech Connect (OSTI)

    Joel Walls; M.T. Taner; Naum Derzhi; Gary Mavko; Jack Dvorkin

    2003-12-01

    We have developed and tested technology for a new type of direct hydrocarbon detection. The method uses inelastic rock properties to greatly enhance the sensitivity of surface seismic methods to the presence of oil and gas saturation. These methods include use of energy absorption, dispersion, and attenuation (Q) along with traditional seismic attributes like velocity, impedance, and AVO. Our approach is to combine three elements: (1) a synthesis of the latest rock physics understanding of how rock inelasticity is related to rock type, pore fluid types, and pore microstructure, (2) synthetic seismic modeling that will help identify the relative contributions of scattering and intrinsic inelasticity to apparent Q attributes, and (3) robust algorithms that extract relative wave attenuation attributes from seismic data. This project provides: (1) Additional petrophysical insight from acquired data; (2) Increased understanding of rock and fluid properties; (3) New techniques to measure reservoir properties that are not currently available; and (4) Provide tools to more accurately describe the reservoir and predict oil location and volumes. These methodologies will improve the industry's ability to predict and quantify oil and gas saturation distribution, and to apply this information through geologic models to enhance reservoir simulation. We have applied for two separate patents relating to work that was completed as part of this project.

  5. Storage capacity in hot dry rock reservoirs

    DOE Patents [OSTI]

    Brown, D.W.

    1997-11-11

    A method is described for extracting thermal energy, in a cyclic manner, from geologic strata which may be termed hot dry rock. A reservoir comprised of hot fractured rock is established and water or other liquid is passed through the reservoir. The water is heated by the hot rock, recovered from the reservoir, cooled by extraction of heat by means of heat exchange apparatus on the surface, and then re-injected into the reservoir to be heated again. Water is added to the reservoir by means of an injection well and recovered from the reservoir by means of a production well. Water is continuously provided to the reservoir and continuously withdrawn from the reservoir at two different flow rates, a base rate and a peak rate. Increasing water flow from the base rate to the peak rate is accomplished by rapidly decreasing backpressure at the outlet of the production well in order to meet periodic needs for amounts of thermal energy greater than a baseload amount, such as to generate additional electric power to meet peak demands. The rate of flow of water provided to the hot dry rock reservoir is maintained at a value effective to prevent depletion of the liquid inventory of the reservoir. 4 figs.

  6. Computer Simulation of Reservoir Depletion and Oil Flow from the Macondo Well Following the Deepwater

    E-Print Network [OSTI]

    ................................................................................................................................................... 2 Reservoir Model ............................................................................................................................................. 7 Uncertainty Analysis........................................................................................................................................... 8 Tables Table 1. Reservoir and fluid properties used in the reservoir simulation model

  7. Gulf of Mexico Proved Reserves By Water Depth, 2009

    Gasoline and Diesel Fuel Update (EIA)

    Gulf of Mexico Proved Reserves and Production by Water Depth, 2009 1 Gulf of Mexico Proved Reserves and Production by Water Depth The Gulf of Mexico Federal Offshore region (GOM...

  8. Semantic trees: New foundations for automatic theorem-proving

    E-Print Network [OSTI]

    Hayes, Patrick J.

    1973-01-01

    This dissertation is concerned with theorem-proving by computer. It does not contain a great number of new results, in the sense of new computational devices for improving the efficiency of theorem-proving programs. ...

  9. Sedimentation in Shallow ReservoirsPoster n 21 Large shallow reservoirs of run-of-river

    E-Print Network [OSTI]

    Dalang, Robert C.

    Sedimentation in Shallow ReservoirsPoster nį 21 Large shallow reservoirs of run-of-river power plants on rivers with high suspended sediments are endangered by significant sedimentation. INTRODUCTION

  10. A better understanding of a Uinta Basin channelized analog reservoir through geostatistics and reservoir simulation†

    E-Print Network [OSTI]

    Robbana, Enis

    2002-01-01

    The Green River Formation is located in the Uinta basin of northeastern Utah. It contains several reservoirs that can be classified as lacustrine such as the Altamont-Bluebell and Red Wash. Lacustrine reservoirs are ...

  11. revision:19950227 modified:19950227

    E-Print Network [OSTI]

    Shelah, Saharon

    495 revision:1995­02­27 modified:1995­02­27 ``On the Strong Equality between Supercompactness and Department of Mathematics Rutgers University New Brunswick, New Jersey 08904 February 19, 1995 Abstract: We:1995­02­27 modified:1995­02­27 §0 Introduction and Preliminaries It is a well known fact

  12. Revised: Page 1 Unclassified

    E-Print Network [OSTI]

    information or requires export control. If yes, supervisor's signature below certifies permission has been reason for hold below. Reasons may include but are not limited to: review pending with sponsor, export to submission. RESET FORM #12;Revised: Page 2 Yes No Yes No A B C D E F FOUO Yes No Energy

  13. Analysis of Geothermal Reservoir Stimulation using Geomechanics...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    using Geomechanics-Based Stochastic Analysis of Injection-Induced Seismicity Analysis of Geothermal Reservoir Stimulation using Geomechanics-Based Stochastic Analysis of...

  14. 201202 Reservoir System Modeling Technologies Conference

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Modeling Applied To The Columbia River - PSR Adjoint Modeling Framework for Real-Time Control of Water - Deltares Reservoir Operations Analysis in the Willamette Water 2100...

  15. International reservoir operations agreement helps NW fish &...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    or 503-230-5131 International reservoir operations agreement helps Northwest fish and power Portland, Ore. - The Bonneville Power Administration and the British Columbia...

  16. Storage capacity in hot dry rock reservoirs

    DOE Patents [OSTI]

    Brown, Donald W. (Los Alamos, NM)

    1997-01-01

    A method of extracting thermal energy, in a cyclic manner, from geologic strata which may be termed hot dry rock. A reservoir comprised of hot fractured rock is established and water or other liquid is passed through the reservoir. The water is heated by the hot rock, recovered from the reservoir, cooled by extraction of heat by means of heat exchange apparatus on the surface, and then re-injected into the reservoir to be heated again. Water is added to the reservoir by means of an injection well and recovered from the reservoir by means of a production well. Water is continuously provided to the reservoir and continuously withdrawn from the reservoir at two different flow rates, a base rate and a peak rate. Increasing water flow from the base rate to the peak rate is accomplished by rapidly decreasing backpressure at the outlet of the production well in order to meet periodic needs for amounts of thermal energy greater than a baseload amount, such as to generate additional electric power to meet peak demands. The rate of flow of water provided to the hot dry rock reservoir is maintained at a value effective to prevent depletion of the liquid

  17. Assessing the relative permeability of heterogeneous reservoir...

    Office of Scientific and Technical Information (OSTI)

    susceptible to error and may lead to incorrect conclusions regarding displacement efficiency, wettability and reservoir performance. This paper focuses on new techniques for...

  18. Geothermal reservoirs in hydrothermal convection systems

    SciTech Connect (OSTI)

    Sorey, M.L.

    1982-01-01

    Geothermal reservoirs commonly exist in hydrothermal convection systems involving fluid circulation downward in areas of recharge and upwards in areas of discharge. Because such reservoirs are not isolated from their surroundings, the nature of thermal and hydrologic connections with the rest of the system may have significant effects on the natural state of the reservoir and on its response to development. Conditions observed at numerous developed and undeveloped geothermal fields are discussed with respect to a basic model of the discharge portion of an active hydrothermal convection system. Effects of reservoir development on surficial discharge of thermal fluid are also delineated.

  19. Characterization of geothermal reservoir crack patterns using...

    Open Energy Info (EERE)

    with form History Characterization of geothermal reservoir crack patterns using shear-wave splitting Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal...

  20. Evaluation Of Chemical Geothermometers For Calculating Reservoir...

    Open Energy Info (EERE)

    Evaluation Of Chemical Geothermometers For Calculating Reservoir Temperatures At Nevada Geothermal Power Plants Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  1. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION

    SciTech Connect (OSTI)

    Joel Walls; M.T. Taner; Gary Mavko; Jack Dvorkin

    2002-04-01

    Wave-induced variations of pore pressure in a partially-saturated reservoir result in oscillatory liquid flow. The viscous losses during this flow are responsible for wave attenuation. The same viscous effects determine the changes in the dynamic bulk modulus of the system versus frequency. These changes are necessarily linked to attenuation via the causality condition. We analytically quantify the frequency dependence of the bulk modulus of a partially saturated rock by assuming that saturation is patchy and then link these changes to the inverse quality factor. As a result, the P-wave attenuation is quantitatively linked to saturation and thus can serve as a saturation indicator.

  2. The verification of a semi-analytical reservoir simulator using a finite difference reservoir simulator†

    E-Print Network [OSTI]

    Dube, Hans Gerhardt

    1990-01-01

    of Cases Fundamental Difference Between the Reservoir Simulators. Data Sets. . General Process of Verification. . . . . . . . . . . . . . . 22 24 25 25 26 29 32 36 SINGLE LAYER, RADIAL FLOW DRAWDOWN CASES. . 38 viii Page Infinite Cylindrical... Drawdown Problems. . . . . . . . . . . . . 38 41 43 45 49 50 52 MULTIPLE LAYER RESERVOIR, RADIAL FLOW DRAWDOWN CASES. 63 Simulation of Multiple Layer Reservoirs. . . . . . Simulation Parameters. Constant Rate Drawdown Tests in an Infinite...

  3. Reservoir Engineering for Unconventional Gas Reservoirs: What Do We Have to Consider?

    SciTech Connect (OSTI)

    Clarkson, Christopher R

    2011-01-01

    The reservoir engineer involved in the development of unconventional gas reservoirs (UGRs) is required to integrate a vast amount of data from disparate sources, and to be familiar with the data collection and assessment. There has been a rapid evolution of technology used to characterize UGR reservoir and hydraulic fracture properties, and there currently are few standardized procedures to be used as guidance. Therefore, more than ever, the reservoir engineer is required to question data sources and have an intimate knowledge of evaluation procedures. We propose a workflow for the optimization of UGR field development to guide discussion of the reservoir engineer's role in the process. Critical issues related to reservoir sample and log analysis, rate-transient and production data analysis, hydraulic and reservoir modeling and economic analysis are raised. Further, we have provided illustrations of each step of the workflow using tight gas examples. Our intent is to provide some guidance for best practices. In addition to reviewing existing methods for reservoir characterization, we introduce new methods for measuring pore size distribution (small-angle neutron scattering), evaluating core-scale heterogeneity, log-core calibration, evaluating core/log data trends to assist with scale-up of core data, and modeling flow-back of reservoir fluids immediately after well stimulation. Our focus in this manuscript is on tight and shale gas reservoirs; reservoir characterization methods for coalbed methane reservoirs have recently been discussed.

  4. POST WATERFLOOD CO2 MISCIBLE FLOOD IN LIGHT OIL FLUVIAL DOMINATED DELTAIC RESERVOIR

    SciTech Connect (OSTI)

    Tim Tipton

    2004-04-06

    Texaco Exploration and Production Inc. (TEPI) and the US Department of Energy (DOE) entered into a cost sharing cooperative agreement to conduct an Enhanced Oil Recovery demonstration project at Port Neches. The field is located in Orange County near Beaumont, Texas, and shown in Appendix A. The project would demonstrate the effectiveness of the CO{sub 2} miscible process in Fluvial Dominated Deltaic reservoirs. It would also evaluate the use of horizontal CO{sub 2} injection wells to improve the overall sweep efficiency and determine the recovery efficiency of CO{sub 2} floods in waterflooded and partial waterdrive reservoirs. Texaco's objective on this project was (1) to utilize all available technologies, and to develop new ones, and (2) to design a CO{sub 2} flood process which is cost effective and can be applied to many other reservoirs throughout the US. A database of potential reservoirs for the gulf coast region was developed by LSU, using a screening model developed by Texaco Research Center in Houston. A PC-based CO{sub 2} screening model was developed and the aforementioned database generated to show the utility of this technology throughout the US. Finally, the results and the information gained from this project was disseminated throughout the oil industry via a series of SPE papers and industry open forums. Reservoir characterization efforts for the Marginulina sand shown in Appendix C, were accomplished utilizing conventional and advanced technologies including 3-D seismic. Sidewall and conventional cores were cut and analyzed, lab tests were conducted on reservoir fluids and reservoir voidage was monitored as shown in Appendices B through M. Texaco has utilized the above data to develop a Stratamodel to best describe and characterize the reservoir and to use it as input for the compositional simulator. The compositional model was revised several times to integrate the new data from the 3-D seismic and field performance under CO{sub 2} injection, to ultimately develop an accurate economic model. The Port Neches CO{sub 2} Project concentrated upon the tertiary oil recoveries, to be obtained from two sections of the reservoir, which were at different stages of depletion. The large waterflooded fault block had an average remaining oil saturation of 31% while the small partial waterdrive fault block had an oil saturation of 43%.

  5. A combination of streamtube and geostatical simulation methodologies for the study of large oil reservoirs

    SciTech Connect (OSTI)

    Chakravarty, A.; Emanuel, A.S.; Bernath, J.A.

    1997-08-01

    The application of streamtube models for reservoir simulation has an extensive history in the oil industry. Although these models are strictly applicable only to fields under voidage balance, they have proved to be useful in a large number of fields provided that there is no solution gas evolution and production. These models combine the benefit of very fast computational time with the practical ability to model a large reservoir over the course of its history. These models do not, however, directly incorporate the detailed geological information that recent experience has taught is important. This paper presents a technique for mapping the saturation information contained in a history matched streamtube model onto a detailed geostatistically derived finite difference grid. With this technique, the saturation information in a streamtube model, data that is actually statistical in nature, can be identified with actual physical locations in a field and a picture of the remaining oil saturation can be determined. Alternatively, the streamtube model can be used to simulate the early development history of a field and the saturation data then used to initialize detailed late time finite difference models. The proposed method is presented through an example application to the Ninian reservoir. This reservoir, located in the North Sea (UK), is a heterogeneous sandstone characterized by a line drive waterflood, with about 160 wells, and a 16 year history. The reservoir was satisfactorily history matched and mapped for remaining oil saturation. A comparison to 3-D seismic survey and recently drilled wells have provided preliminary verification.

  6. Reservoir Characterization Research Laboratory Research Plans for 2013

    E-Print Network [OSTI]

    Texas at Austin, University of

    and Subsurface Characterization of Carbonate Reservoirs for Improved Recovery of Remaining Hydrocarbons Charles#12; Reservoir Characterization Research Laboratory Research Plans for 2013 Outcrop for heavy oil deposits within the Canadian Grosmont Formation. #12;iii Reservoir Characterization Research

  7. The Performance of Fractured Horizontal Well in Tight Gas Reservoir

    E-Print Network [OSTI]

    Lin, Jiajing

    2012-02-14

    Horizontal wells have been used to increase reservoir recovery, especially in unconventional reservoirs, and hydraulic fracturing has been applied to further extend the contact with the reservoir to increase the efficiency of development...

  8. Monitoring EGS Stimulation and Reservoir Dynamics with InSAR...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    EGS Stimulation and Reservoir Dynamics with InSAR and MEQ Monitoring EGS Stimulation and Reservoir Dynamics with InSAR and MEQ Monitoring EGS Stimulation and Reservoir Dynamics...

  9. Geomechanical Development of Fractured Reservoirs During Gas Production†

    E-Print Network [OSTI]

    Huang, Jian

    2013-04-05

    Within fractured reservoirs, such as tight gas reservoir, coupled processes between matrix deformation and fluid flow are very important for predicting reservoir behavior, pore pressure evolution and fracture closure. To study the coupling between...

  10. Increasing Waterflooding Reservoirs in the Wilmington Oil Field through Improved Reservoir Characterization and Reservoir Management

    SciTech Connect (OSTI)

    Clarke, Don; Koerner, Roy; Moos, Dan; Nguyen, John; Phillips, Chris; Tagbor, Kwasi; Walker, Scott

    1999-11-09

    The objectives of this quarterly report are to summarize the work conducted under each task during the reporting period July - September 1998 and to report all technical data and findings as specified in the ''Federal Assistance Reporting Checklist''. The main objective of this project is the transfer of technologies, methodologies, and findings developed and applied in this project to other operators of Slope and Basin Clastic Reservoirs. This project will study methods to identify sands with high remaining oil saturation and to recomplete existing wells using advanced completion technology.

  11. Development of Reservoir Characterization Techniques and Production Models for Exploiting Naturally Fractured Reservoirs

    SciTech Connect (OSTI)

    Wiggins, Michael L.; Brown, Raymon L.; Civan, Faruk; Hughes, Richard G.

    2003-02-11

    This research was directed toward developing a systematic reservoir characterization methodology which can be used by the petroleum industry to implement infill drilling programs and/or enhanced oil recovery projects in naturally fractured reservoir systems in an environmentally safe and cost effective manner. It was anticipated that the results of this research program will provide geoscientists and engineers with a systematic procedure for properly characterizing a fractured reservoir system and a reservoir/horizontal wellbore simulator model which can be used to select well locations and an effective EOR process to optimize the recovery of the oil and gas reserves from such complex reservoir systems.

  12. Increasing Waterflood Reserves in the Wilmington Oil Field Through Reservoir Characterization and Reservoir Management

    SciTech Connect (OSTI)

    Chris Phillips; Dan Moos; Don Clarke; John Nguyen; Kwasi Tagbor; Roy Koerner; Scott Walker

    1997-04-10

    This project is intended to increase recoverable waterflood reserves in slope and basin reservoirs through improved reservoir characterization and reservoir management. The particular application of this project is in portions of Fault Blocks IV and V of the Wilmington Oil Field, in Long Beach, California, but the approach is widely applicable in slope and basin reservoirs. Transferring technology so that it can be applied in other sections of the Wilmington Field and by operators in other slope and basin reservoirs is a primary component of the project.

  13. Geothermal reservoir insurance study. Final report

    SciTech Connect (OSTI)

    Not Available

    1981-10-09

    The principal goal of this study was to provide analysis of and recommendations on the need for and feasibility of a geothermal reservoir insurance program. Five major tasks are reported: perception of risk by major market sectors, status of private sector insurance programs, analysis of reservoir risks, alternative government roles, and recommendations.

  14. GEOMECHANICAL MODELING AS A RESERVOIR CHARACTERIZATION TOOL

    E-Print Network [OSTI]

    GEOMECHANICAL MODELING AS A RESERVOIR CHARACTERIZATION TOOL AT RULISON FIELD, PICEANCE BASIN _______________ ____________________ Dr. Terence K. Young Department Head Department of Geophysics ii #12;ABSTRACT Geomechanics is a powerful reservoir characterization tool. Geomechanical modeling is used here to understand how the in

  15. Water resources review: Wheeler Reservoir, 1990

    SciTech Connect (OSTI)

    Wallus, R.; Cox, J.P.

    1990-09-01

    Protection and enhancement of water quality is essential for attaining the full complement of beneficial uses of TVA reservoirs. The responsibility for improving and protecting TVA reservoir water quality is shared by various federal, state, and local agencies, as well as the thousands of corporations and property owners whose individual decisions affect water quality. TVA's role in this shared responsibility includes collecting and evaluating water resources data, disseminating water resources information, and acting as a catalyst to bring together agencies and individuals that have a responsibility or vested interest in correcting problems that have been identified. This report is one in a series of status reports that will be prepared for each of TVA's reservoirs. The purpose of this status report is to provide an up-to-date overview of the characteristics and conditions of Wheeler Reservoir, including: reservoir purposes and operation; physical characteristics of the reservoir and the watershed; water quality conditions: aquatic biological conditions: designated, actual, and potential uses of the reservoir and impairments of those uses; ongoing or planned reservoir management activities. Information and data presented here are form the most recent reports, publications, and original data available. 21 refs., 8 figs., 29 tabs.

  16. Economics of Developing Hot Stratigraphic Reservoirs

    SciTech Connect (OSTI)

    Greg Mines; Hillary Hanson; Rick Allis; Joseph Moore

    2014-09-01

    Stratigraphic geothermal reservoirs at 3 Ė 4 km depth in high heat-flow basins are capable of sustaining 100 MW-scale power plants at about 10 c/kWh. This paper examines the impacts on the levelized cost of electricity (LCOE) of reservoir depth and temperature, reservoir productivity, and drillhole/casing options. For a reservoir at 3 km depth with a moderate productivity index by hydrothermal reservoir standards (about 50 L/s/MPa, 5.6 gpm/psi), an LCOE of 10c/kWh requires the reservoir to be at about 200įC. This is the upper temperature limit for pumps. The calculations assume standard hydrothermal drilling costs, with the production interval completed with a 7 inch liner in an 8.5 inch hole. If a reservoir at 4 km depth has excellent permeability characteristics with a productivity index of 100 L/s/MPa (11.3 gpm/psi), then the LCOE is about 11 c/kWh assuming the temperature decline rate with development is not excessive (< 1%/y, with first thermal breakthrough delayed by about 10 years). Completing wells with modest horizontal legs (e.g. several hundred meters) may be important for improving well productivity because of the naturally high, sub-horizontal permeability in this type of reservoir. Reducing the injector/producer well ratio may also be cost-effective if the injectors are drilled as larger holes.

  17. An Updated Conceptual Model Of The Los Humeros Geothermal Reservoir...

    Open Energy Info (EERE)

    Humeros Geothermal Reservoir (Mexico) Abstract An analysis of production and reservoir engineering data of 42 wells from the Los Humeros geothermal field (Mexico) allowed...

  18. Variations in dissolved gas compositions of reservoir fluids...

    Open Energy Info (EERE)

    reservoir in its natural state. Two geographically distinct regions of single-phase (liquid) reservoir are present and possess distinctive gas and liquid compositions....

  19. Assessment of Latent Heat Reservoirs for Thermal Management of...

    Office of Scientific and Technical Information (OSTI)

    Assessment of Latent Heat Reservoirs for Thermal Management of QCW Laser Diodes Citation Details In-Document Search Title: Assessment of Latent Heat Reservoirs for Thermal...

  20. Subsidence in the craters of nuclear tests at the Pacific Proving Grounds

    SciTech Connect (OSTI)

    Burton, D.E.; Swift, R.P.; Bryan, J.B.; Glenn, H.D.

    1984-08-01

    The craters from high-yield nuclear tests at the Pacific Proving Ground are very broad and shallow in comparison with the bowl-shaped craters formed in continental rock at the Nevada Test Site (NTS) and elsewhere. Attempts to explain the difference in terms of device yield (which was much larger in the Pacific tests than at NTS) have been generally unsatisfactory. We have for the first time successfully modeled the Koa Event, a representative coral-atoll test. On the basis of plausible assumptions about the geology and about the constitutive relations for coral, we have shown that the size and shape of the Koa crater can be accounted for by subsidence and liquefaction phenomena. If future studies confirm these assumptions, it will mean that some scaling formulas based on data from the Pacific will have to be revised to avoid overestimating weapons effects in continental geology. 41 references, 10 figures, 1 table.

  1. U.S. Crude Oil and Natural Gas Proved Reserves

    Reports and Publications (EIA)

    2015-01-01

    U.S. crude oil proved reserves increased in 2014 for the sixth year in a row with a net addition of 3.4 billion barrels of proved oil reserves (a 9% increase), according to U.S. Crude Oil and Natural Gas Proved Reserves, 2014, released today by the U.S. Energy Information Administration (EIA). U.S. natural gas proved reserves increased 10% in 2014, raising the U.S. total to a record 388.8 trillion cubic feet.

  2. ,"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"...

  3. ,"New Mexico Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Lease Condensate Proved Reserves, Reserve Changes, and Production",10,"Annual",2014,"0...

  4. ,"Federal Offshore, Gulf of Mexico, Texas Dry Natural Gas Proved...

    U.S. Energy Information Administration (EIA) Indexed Site

    Of Series","Frequency","Latest Data for" ,"Data 1","Federal Offshore, Gulf of Mexico, Texas Dry Natural Gas Proved Reserves",10,"Annual",2014,"06301981" ,"Release...

  5. ,"New Mexico Shale Gas Proved Reserves, Reserves Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Shale Gas Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"0630...

  6. ,"New Mexico Nonassociated Natural Gas Proved Reserves, Wet After...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Nonassociated Natural Gas Proved Reserves, Wet After Lease Separation",10,"Annual",201...

  7. ,"New Mexico Associated-Dissolved Natural Gas Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Associated-Dissolved Natural Gas Proved Reserves, Wet After Lease...

  8. ,"New Mexico Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Crude Oil plus Lease Condensate Proved Reserves",10,"Annual",2014,"06302009"...

  9. ,"New Mexico Coalbed Methane Proved Reserves, Reserves Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Coalbed Methane Proved Reserves, Reserves Changes, and Production",10,"Annual",2014,"0...

  10. ,"U.S. Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Crude Oil plus Lease Condensate Proved Reserves",10,"Annual",2013,"06302009" ,"Release...

  11. ,"Federal Offshore, Gulf of Mexico, Texas Lease Condensate Proved...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  12. ,"North Dakota Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  13. ,"Lower 48 States Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  14. ,"North Louisiana Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  15. ,"New York Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  16. ,"Louisiana Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  17. ,"California Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  18. ,"TX, RRC District 10 Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  19. ,"Federal Offshore U.S. Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  20. ,"Kansas Lease Condensate Proved Reserves, Reserve Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  1. ,"TX, RRC District 10 Crude Oil plus Lease Condensate Proved...

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  2. ,"TX, RRC District 1 Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  3. ,"LA, State Offshore Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  4. ,"Texas Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  5. ,"Oklahoma Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  6. ,"Colorado Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  7. ,"Indiana Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  8. ,"TX, RRC District 5 Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  9. ,"TX, RRC District 3 Onshore Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  10. ,"TX, RRC District 8A Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  11. ,"Kentucky Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  12. ,"Ohio Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio...

  13. ,"Nebraska Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  14. ,"Ohio Lease Condensate Proved Reserves, Reserve Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  15. ,"Pennsylvania Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  16. ,"NM, East Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  17. ,"Montana Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  18. ,"CA, San Joaquin Basin Onshore Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  19. ,"LA, South Onshore Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  20. ,"Utah Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah...

  1. ,"CA, Coastal Region Onshore Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  2. ,"LA, State Offshore Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  3. ,"NM, West Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  4. ,"Michigan Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  5. ,"Mississippi Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  6. ,"Alaska Lease Condensate Proved Reserves, Reserve Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  7. ,"CA, State Offshore Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  8. ,"LA, South Onshore Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  9. ,"Florida Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  10. ,"Miscellaneous Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  11. ,"NM, West Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  12. ,"NM, East Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  13. ,"Illinois Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  14. ,"TX, RRC District 7B Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  15. ,"North Louisiana Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  16. ,"Lower 48 States Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  17. ,"Kansas Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  18. ,"CA, State Offshore Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  19. ,"CA, Los Angeles Basin Onshore Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  20. ,"TX, State Offshore Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude Oil plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for"...

  1. ,"North Dakota Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  2. ,"West Virginia Lease Condensate Proved Reserves, Reserve Changes...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  3. ,"Texas Lease Condensate Proved Reserves, Reserve Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  4. ,"Wyoming Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  5. ,"West Virginia Crude Oil plus Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","West...

  6. ,"Alabama Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  7. ,"TX, State Offshore Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  8. ,"TX, RRC District 4 Onshore Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  9. ,"Utah Lease Condensate Proved Reserves, Reserve Changes, and...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  10. ,"TX, RRC District 9 Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  11. ,"TX, RRC District 8 Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  12. ,"TX, RRC District 2 Onshore Lease Condensate Proved Reserves...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  13. ,"TX, RRC District 6 Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  14. ,"Arkansas Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  15. ,"Alaska Crude Oil plus Lease Condensate Proved Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    plus Lease Condensate Proved Reserves" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data...

  16. ,"TX, RRC District 7C Lease Condensate Proved Reserves, Reserve...

    U.S. Energy Information Administration (EIA) Indexed Site

    Lease Condensate Proved Reserves, Reserve Changes, and Production" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of Series","Frequency","Late...

  17. Renewable Energy Opportunities at Yuma Proving Ground, Arizona

    SciTech Connect (OSTI)

    Orrell, Alice C.; Kora, Angela R.; Russo, Bryan J.; Williamson, Jennifer L.; Weimar, Mark R.; Gorrissen, Willy J.; Dixon, Douglas R.

    2010-06-30

    This document provides an overview of renewable resource potential at Yuma Proving Ground, based primarily upon analysis of secondary data sources supplemented with limited on-site evaluations.

  18. Performance testing the Phase 2 HDR reservoir

    SciTech Connect (OSTI)

    Ponden, R.F.; Dreesen, D.S. ); Thomson, J.C. )

    1991-01-01

    The geothermal energy program at the Los Alamos National Laboratory is directed toward developing the Hot Dry Rock (HDR) technology as an alternate energy source. Positive results have been obtained in previous circulation tests of HDR reservoirs at the Laboratory's test site in Fenton Hill, New Mexico. There still remains however, the need to demonstrate that adequate geothermal energy can be extracted in an efficient manner to support commercial power production. This year, the Laboratory will begin a circulation test of its Phase 2, reservoir. The objectives of this test are to characterize steady-state power production and long-term reservoir performance. 6 refs., 2 figs., 3 tabs.

  19. CoastWatch/OceanWatch Proving Ground: VIIRS Ocean Color

    E-Print Network [OSTI]

    ;VIIRS Operational Ocean Color User: NWS/EMC ∑ Phytoplankton alter the penetration of solar radiationCoastWatch/OceanWatch Proving Ground: VIIRS Ocean Color User Engagement, Quality Assessment Science Seminar #12;Outline Overview of VIIRS Ocean Color Proving Ground (Hughes) VIIRS Ocean Color

  20. Revised Manuscript May

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100Nationalquestionnaires 0serial codesReversing Reviews0491850Revised

  1. Bayesian Methods in Reservoir Operations: The Zambezi River Case

    E-Print Network [OSTI]

    West, Mike

    reservoirs in the Zambezi river: Lake Kariba and Cahora Bassa. KEYWORDS: Reservoir operations, Dynamic models, Multiattribute utility, Dynamic programming, Sensitivity analysis. 1 #12; 1 Reservoir operations Many reservoirs, uncertainty has been included, both explicitly (via probabilistic models and techniques) and implic≠ itly (via

  2. Reservoir performance characterized in mature steam pattern

    SciTech Connect (OSTI)

    Miller, D.D.; McPherson, J.G.; Covington, T.E.

    1989-04-01

    A detailed reservoir description provided new insight in an investigation of a ten-year-old steam flood. Mobil Oil Corporation conducted this study of the Pleistocene upper Tulare sands in South Belridge field, located in the San Joaquin basin, Kern County, California. The study area is on the gently dipping (6/degrees/) southwestern flank of the South Belridge anticline. Wireline logs from 19 wells in a 10-ac (660 ft x 660 ft) pattern were correlated in detail. Seven post-steam conventional cores (1523 ft) aided (1) the evaluation of vertical and lateral steam-sweep efficiency, (2) evaluation of reservoir and fluid changes due to steam, (3) influence of lithofacies in reservoir quality, and (4) provided insight to the three-dimensional reservoir flow-unit geometries.

  3. Fifteenth workshop on geothermal reservoir engineering: Proceedings

    SciTech Connect (OSTI)

    Not Available

    1990-01-01

    The Fifteenth Workshop on Geothermal Reservoir Engineering was held at Stanford University on January 23--25, 1990. Major topics included: DOE's geothermal research and development program, well testing, field studies, geosciences, geysers, reinjection, tracers, geochemistry, and modeling.

  4. Reservoir characterization using nonparametric regression techniques†

    E-Print Network [OSTI]

    Mathisen, Trond

    2000-01-01

    reservoirs, but a simple and computationally efficient correlation is developed using only commonly available well log responses. Accurate permeability correlations are essential to understand, forecast, manage, and control production operations...

  5. Estimating uncertainties in integrated reservoir studies†

    E-Print Network [OSTI]

    Zhang, Guohong

    2004-09-30

    existing methods. The integrated mismatch method tends to generate smaller ranges of uncertainty than many existing methods. When starting from nonoptimal reservoir models, in some cases the integrated mismatch method is able to bracket the true reserves...

  6. Study of induced seismicity for reservoir characterization

    E-Print Network [OSTI]

    Li, Junlun, Ph. D. Massachusetts Institute of Technology

    2013-01-01

    The main goal of the thesis is to characterize the attributes of conventional and unconventional reservoirs through passive seismicity. The dissertation is comprised of the development and applications of three new methods, ...

  7. Reservoir fracture characterizations from seismic scattered waves

    E-Print Network [OSTI]

    Fang, Xinding

    2012-01-01

    The measurements of fracture parameters, such as fracture orientation, fracture density and fracture compliance, in a reservoir is very important for field development and exploration. Traditional seismic methods for ...

  8. ANNOTATED RESEARCH BIBLIOGRAPHY FOR GEOTHERMAL RESERVOIR ENGINEERING

    E-Print Network [OSTI]

    Sudo!, G.A

    2012-01-01

    and subsequent change t o a superheated steam state. Faust,for electric power of the superheated steam reservoir a ttwo-phase condition t o superheated steam. Knapp, R. M. and

  9. EXPLOITATION AND OPTIMIZATION OF RESERVOIR PERFORMANCE IN HUNTON FORMATION, OKLAHOMA

    SciTech Connect (OSTI)

    Mohan Kelkar

    2001-10-01

    The main objectives of the proposed study are as follows: (1) To understand and evaluate an unusual primary oil production mechanism which results in decreasing (retrograde) oil cut (ROC) behavior as reservoir pressure declines. (2) To develop better, produced water, disposal techniques so as to minimize lifting costs, surface separation costs and water disposal costs. (3) To improve calculations of initial oil in place so as to determine the economic feasibility of completing and producing a well. (4) To optimize the location of new wells based on understanding of geological and petrophysical properties heterogeneities. (5) To evaluate various secondary recovery techniques for oil reservoirs producing from fractured formations. (6) To enhance the productivity of producing wells by using new completion techniques. These objectives are important for optimizing field performance from West Carney Field located in Lincoln County, Oklahoma. The field, which was discovered in 1980, produces from Hunton Formation in a shallow-shelf carbonate reservoir. The early development in the field was sporadic. Many of the initial wells were abandoned due to high water production and constraints in surface facilities for disposing excess produced water. The field development began in earnest in 1995 by Altex Resources. They had recognized that production from this field was only possible if large volumes of water can be disposed. Being able to dispose large amounts of water, Altex aggressively drilled several producers. With few exceptions, all these wells exhibited similar characteristics. The initial production indicated trace amount of oil and gas with mostly water as dominant phase. As the reservoir was depleted, the oil cut eventually improved, making the overall production feasible. The decreasing oil cut (ROC) behavior has not been well understood. However, the field has been subjected to intense drilling activity because of prior success of Altex Resources. In this work, we will investigate the primary production mechanism by conducting several core flood experiments. After collecting cores from representative wells, we will study the wettability of the rock and simulate the depletion behavior by mimicking such behavior under controlled lab conditions. The overall project goal would be to validate our hypothesis and to determine the best method to exploit reservoirs exhibiting ROC behavior. To that end, we will collect and analyze core samples, and run a single well tracer test during the Budget Period I. We will continue to drill vertical wells during this period. Once we understand the mechanism and are able to quantify the geological model, in Budget Period II we will drill several, additional wells. Depending on the feasibility, we will equip some of the vertical wells with downhole separator, as well as surface compact separator. This will allow us to compare the new technology with the existing one. In the Budget Period III, we will monitor the field performance and revise and refine our models to further optimize the performance.

  10. Pressure maintenance in a volatile oil reservoir

    E-Print Network [OSTI]

    Schuster, Bruce Alan

    1989-01-01

    PRESSURE MAINTENANCE IN A VOLATILE OIL RESERVOIR A Thesis BRUCE ALAN SCHUSTER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May, 1989 Major... Subject: Petroleum Engineering PRESSURE MAINTENANCE IN A VOLATILE OIL RESERVOIR A Thesis BRUCE ALAN SCHUSTER Approved as to style and content by: S. A. Holditch (Chair of Committee) W. J. Lee (Member) R. R, Berg (Member) , Jz W. D. Von Gonten...

  11. SEISMIC ATTENUATION FOR RESERVOIR CHARACTERIZATION

    SciTech Connect (OSTI)

    Joel Walls; M.T. Taner; Gary Mavko; Jack Dvorkin

    2002-07-01

    In fully-saturated rock and at ultrasonic frequencies, the microscopic squirt flow induced between the stiff and soft parts of the pore space by an elastic wave is responsible for velocity-frequency dispersion and attenuation. In the seismic frequency range, it is the macroscopic cross-flow between the stiffer and softer parts of the rock. We use the latter hypothesis to introduce simple approximate equations for velocity-frequency dispersion and attenuation in a fully water saturated reservoir. The equations are based on the assumption that in heterogeneous rock and at a very low frequency, the effective elastic modulus of the fully-saturated rock can be estimated by applying a fluid substitution procedure to the averaged (upscaled) dry frame whose effective porosity is the mean porosity and the effective elastic modulus is the Backus-average (geometric mean) of the individual dry-frame elastic moduli of parts of the rock. At a higher frequency, the effective elastic modulus of the saturated rock is the Backus-average of the individual fully-saturated-rock elastic moduli of parts of the rock. The difference between the effective elastic modulus calculated separately by these two methods determines the velocity-frequency dispersion. The corresponding attenuation is calculated from this dispersion by using (e.g.) the standard linear solid attenuation model.

  12. GHG Emissions from Hydropower Reservoirs The role of hydropower reservoirs in contributing to greenhouse gas (GHG) emissions is poorly

    E-Print Network [OSTI]

    GHG Emissions from Hydropower Reservoirs The role of hydropower reservoirs in contributing from tropical and boreal reservoirs are significant. In light of hydropower's potential role as a green to characterize carbon dioxide (CO2) and methane (CH4) emissions from hydropower reservoirs in the US Southeast

  13. West Virginia Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2Year Jan Feb MarProvedProved

  14. Proving anthropogenic global warming and disproving natural warming

    E-Print Network [OSTI]

    Lovejoy, Shaun

    1 Proving anthropogenic global warming and disproving natural warming in global temperatures between 5 and 6o C. Although he was aware that his, these were negligible: global fossil fuel consumption was less than a twentieth

  15. Slip sliding away: Graphene and diamonds prove a slippery combination...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Slip sliding away: Graphene and diamonds prove a slippery combination By Jared Sagoff * May 22, 2015 Tweet EmailPrint Scientists at the U.S. Department of Energy's Argonne National...

  16. Coloured rippling: An extension of a theorem proving heuristic†

    E-Print Network [OSTI]

    Yoshida, Tetsuya; Bundy, Alan; Green, Ian; Walsh, Toby; Basin, David

    1994-01-01

    Rippling is a type of rewriting developed in inductive theorem proving for removing differences between terms; the induction conclusion is annotated to mark its differences from the induction hypothesis and rippling ...

  17. Application of integrated reservoir management and reservoir characterization to optimize infill drilling, Class II

    SciTech Connect (OSTI)

    Bergeron, Jack; Blasingame, Tom; Doublet, Louis; Kelkar, Mohan; Freeman, George; Callard, Jeff; Moore, David; Davies, David; Vessell, Richard; Pregger, Brian; Dixon, Bill; Bezant, Bryce

    2000-03-16

    The major purpose of this project was to demonstrate the use of cost effective reservoir characterization and management tools that will be helpful to both independent and major operators for the optimal development of heterogeneous, low permeability carbonate reservoirs such as the North Robertson (Clearfork) Unit.

  18. HYDROPOWER RESERVOIR FOR FLOOD CONTROL: A CASE STUDY ON RINGLET RESERVOIR, CAMERON

    E-Print Network [OSTI]

    Julien, Pierre Y.

    HYDROPOWER RESERVOIR FOR FLOOD CONTROL: A CASE STUDY ON RINGLET RESERVOIR, CAMERON HIGHLANDS, Malaysia 4 Professor, Department of Civil Engineering, Colorado State University, USA ABSTRACT: Hydropower as possible for daily hydropower generation as well as to prevent any spillage at dam. However

  19. Holographic Inflation Revised

    E-Print Network [OSTI]

    Tom Banks; Willy Fischler

    2015-01-09

    This paper is a major revision of our previous work on the HST model of inflation. We identify the local fluctuations of the metric with fluctuations of the mass and angular momentum of black holes, and show that the consistency conditions in HST for a single trajectory to see more and more of a homogeneous distribution of black holes, imply that the system outside the horizon is undergoing inflation: small systems of equal entropy, are not in causal contact. Homogeneity then requires that the initial trajectory underwent inflation that expanded the black hole radius into our current horizon. The low entropy of the initial state of the universe is explained by the fact that this is the maximal entropy state, which has long lived localized excitations, and which can form structures more complex than black holes. The number of e-folds, reheat temperature of the universe and size of inflationary fluctuations are calculated in terms of a few parameters.

  20. Seismic imaging of reservoir flow properties: Resolving waterinflux and reservoir permeability

    SciTech Connect (OSTI)

    Vasco, D.W.; Keers, Henk

    2006-11-27

    Methods for geophysical model assessment, in particuale thecomputation of model parameter resolution, indicate the value and thelimitations of time-lapse data in estimating reservoir flow properties. Atrajectory-based method for computing sensitivities provides an effectivemeans to compute model parameter resolutions. We examine the commonsituation in which water encroaches into a resrvoir from below, as due tothe upward movement of an oil-water contact. Using straight-forwardtechniques we find that, by inclusing reflections off the top and bottomof a reservoir tens of meters thick, we can infer reservoir permeabilitybased upon time-lapse data. We find that, for the caseof water influxfrom below, using multiple time-lapse 'snapshots' does not necessarilyimprove the resolution of reservoir permeability. An application totime-lapse data from the Norne field illustrates that we can resolve thepermeability near a producing well using reflections from threeinterfaces associated with the reservoir.

  1. Reservoir Characterization, Production Characteristics, and Research Needs for Fluvial/Alluvial Reservoirs in the United States

    SciTech Connect (OSTI)

    Cole, E.L.; Fowler, M.L.; Jackson, S.R.; Madden, M.P.; Raw-Schatzinger, V.; Salamy, S.P.; Sarathi, P.; Young, M.A.

    1999-04-28

    The Department of Energy's (DOE's) Oil Recovery Field Demonstration Program was initiated in 1992 to maximize the economically and environmentally sound recovery of oil from known domestic reservoirs and to preserve access to this resource. Cost-shared field demonstration projects are being initiated in geology defined reservoir classes which have been prioritized by their potential for incremental recovery and their risk of abandonment. This document defines the characteristics of the fifth geological reservoir class in the series, fluvial/alluvial reservoirs. The reservoirs of Class 5 include deposits of alluvial fans, braided streams, and meandering streams. Deposit morphologies vary as a complex function of climate and tectonics and are characterized by a high degree of heterogeneity to fluid flow as a result of extreme variations in water energy as the deposits formed.

  2. Pressure transient test analysis of vuggy naturally fractured carbonate reservoir: field case study†

    E-Print Network [OSTI]

    Ajayi, Babatunde Tolulope

    2009-06-02

    Well pressure transient analysis is widely used in reservoir management to obtain reservoir information needed for reservoir simulation, damage identification, well optimization and stimulation evaluation. The main objective ...

  3. Pressure and fluid saturation prediction in a multicomponent reservoir, using combined seismic and electromagnetic imaging

    E-Print Network [OSTI]

    Hoversten, G.M.; Gritto, Roland; Washbourne, John; Daley, Tom

    2002-01-01

    change in reservoir pressure, water saturation, and CO 2 /? ? ) in reservoir pressure, fluid saturations, and theand water saturation within a reservoir without significant

  4. Revision date: 11/15/11 Revised by: ACA (GLC) and DAM (TGS) GRADUATE EDUCATION EXPECTATIONS

    E-Print Network [OSTI]

    Revision date: 11/15/11 Revised by: ACA (GLC) and DAM (TGS) GRADUATE EDUCATION EXPECTATIONS/15/11 Revised by: ACA (GLC) and DAM (TGS) 9. Students should show ambition, dedication, and commitment

  5. Eolian reservoir characteristics predicted from dune type

    SciTech Connect (OSTI)

    Kocurek, G.; Nielson, J.

    1985-02-01

    The nature of eolian-dune reservoirs is strongly influenced by stratification types (in decreasing order of quality: grain-flow, grain-fall, wind-ripple deposits) and their packaging by internal bounding surfaces. These are, in turn, a function of dune surface processes and migration behavior, allowing for predictive models of reservoir behavior. Migrating, simple crescentic dunes produce tabular bodies consisting mainly of grain-flow cross-strata, and form the best, most predictable reservoirs. Reservoir character improves as both original dune height and preserved set thickness increase, because fewer grain-fall deposits and a lower percentage of dune-apron deposits occur in the cross-strata, respectively. It is probable that many linear and star dunes migrate laterally, leaving a blanket of packages of wind ripple laminae reflecting deposition of broad, shifting aprons. This is distinct from models generated by freezing large portions of these dunes in place. Trailing margins of linear and star dunes are prone to reworking by sand-sheet processes that decrease potential reservoir quality. The occurrence of parabolic dunes isolated on vegetated sand sheets results in a core of grain-flow and grain-fall deposits surrounded by less permeable and porous deposits. Compound crescentic dunes, perhaps the most preservable dune type, may yield laterally (1) single sets of cross-strate, (2) compound sets derived from superimposed simple dunes, or (3) a complex of diverse sets derived from superimposed transverse and linear elements.

  6. Revised Continuing Appropriations Resolution, 2007, P.L. 110...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Revised Continuing Appropriations Resolution, 2007, P.L. 110-5 Revised Continuing Appropriations Resolution, 2007, P.L. 110-5 Policy Flash Revised Continuing Appropriations...

  7. Influence of Tributaries on Salinity of Amistad International Reservoir

    E-Print Network [OSTI]

    Miyamoto, S.; Yuan, Fasong; Anand, Shilpa

    2006-01-01

    in the reservoir was computed as the difference between salt loading and unloading. The unloading components considered were outflow from the Reservoir, seepage losses, and salt storage in the stored water as well as in the bank of the Reservoir. Seepage losses... were estimated by multiplying the mean salinity of the Reservoir to the seepage losses estimated as a sum of the spring flow below the Reservoir. The salt storage in the reservoir bank was estimated as the evapotranspiration losses from the bank when...

  8. Horizontal well applications in complex carbonate reservoirs

    SciTech Connect (OSTI)

    Rahman, M.; Al-Awami, H.

    1995-10-01

    Over the past four years, Saudi Aramco has drilled over eighty horizontal wells, onshore and offshore. It has successfully applied this technology to develop new reservoirs as well as enhance recovery from its mature fields. This paper presents the reservoir engineering aspects of `horizontal` and `high angle` wells drilled in a major offshore field in Saudi Arabia. It shows how horizontal wells have (a) increased the recovery of bypassed oil, (b) improved well productivity in tight reservoirs, (c) increased production from thin oil zones underlain by water, and (d) improved peripheral injection. The paper discusses the actual performance of the horizontal wells and compares them with offset conventional wells. It presents the results of logging and testing of these wells, and highlights actual field data on (a) relationship between productivity gain and horizontal length, (b) pressure loss along the horizontal wellbore, and (c) effect of heterogeneity on coning an inflow performance.

  9. An Intelligent Systems Approach to Reservoir Characterization

    SciTech Connect (OSTI)

    Shahab D. Mohaghegh; Jaime Toro; Thomas H. Wilson; Emre Artun; Alejandro Sanchez; Sandeep Pyakurel

    2005-08-01

    Today, the major challenge in reservoir characterization is integrating data coming from different sources in varying scales, in order to obtain an accurate and high-resolution reservoir model. The role of seismic data in this integration is often limited to providing a structural model for the reservoir. Its relatively low resolution usually limits its further use. However, its areal coverage and availability suggest that it has the potential of providing valuable data for more detailed reservoir characterization studies through the process of seismic inversion. In this paper, a novel intelligent seismic inversion methodology is presented to achieve a desirable correlation between relatively low-frequency seismic signals, and the much higher frequency wireline-log data. Vertical seismic profile (VSP) is used as an intermediate step between the well logs and the surface seismic. A synthetic seismic model is developed by using real data and seismic interpretation. In the example presented here, the model represents the Atoka and Morrow formations, and the overlying Pennsylvanian sequence of the Buffalo Valley Field in New Mexico. Generalized regression neural network (GRNN) is used to build two independent correlation models between; (1) Surface seismic and VSP, (2) VSP and well logs. After generating virtual VSP's from the surface seismic, well logs are predicted by using the correlation between VSP and well logs. The values of the density log, which is a surrogate for reservoir porosity, are predicted for each seismic trace through the seismic line with a classification approach having a correlation coefficient of 0.81. The same methodology is then applied to real data taken from the Buffalo Valley Field, to predict inter-well gamma ray and neutron porosity logs through the seismic line of interest. The same procedure can be applied to a complete 3D seismic block to obtain 3D distributions of reservoir properties with less uncertainty than the geostatistical estimation methods. The intelligent seismic inversion method should help to increase the success of drilling new wells during field development.

  10. Improved characterization of reservoir behavior by integration of reservoir performances data and rock type distributions

    SciTech Connect (OSTI)

    Davies, D.K.; Vessell, R.K.; Doublet, L.E.

    1997-08-01

    An integrated geological/petrophysical and reservoir engineering study was performed for a large, mature waterflood project (>250 wells, {approximately}80% water cut) at the North Robertson (Clear Fork) Unit, Gaines County, Texas. The primary goal of the study was to develop an integrated reservoir description for {open_quotes}targeted{close_quotes} (economic) 10-acre (4-hectare) infill drilling and future recovery operations in a low permeability, carbonate (dolomite) reservoir. Integration of the results from geological/petrophysical studies and reservoir performance analyses provide a rapid and effective method for developing a comprehensive reservoir description. This reservoir description can be used for reservoir flow simulation, performance prediction, infill targeting, waterflood management, and for optimizing well developments (patterns, completions, and stimulations). The following analyses were performed as part of this study: (1) Geological/petrophysical analyses: (core and well log data) - {open_quotes}Rock typing{close_quotes} based on qualitative and quantitative visualization of pore-scale features. Reservoir layering based on {open_quotes}rock typing {close_quotes} and hydraulic flow units. Development of a {open_quotes}core-log{close_quotes} model to estimate permeability using porosity and other properties derived from well logs. The core-log model is based on {open_quotes}rock types.{close_quotes} (2) Engineering analyses: (production and injection history, well tests) Material balance decline type curve analyses to estimate total reservoir volume, formation flow characteristics (flow capacity, skin factor, and fracture half-length), and indications of well/boundary interference. Estimated ultimate recovery analyses to yield movable oil (or injectable water) volumes, as well as indications of well and boundary interference.

  11. INCREASING WATERFLOOD RESERVES IN THE WILMINGTON OIL FIELD THROUGH IMPROVED RESERVOIR CHARACTERIZATION AND RESERVOIR MANAGEMENT

    SciTech Connect (OSTI)

    Scott Walker; Chris Phillips; Roy Koerner; Don Clarke; Dan Moos; Kwasi Tagbor

    2002-02-28

    This project increased recoverable waterflood reserves in slope and basin reservoirs through improved reservoir characterization and reservoir management. The particular application of this project is in portions of Fault Blocks IV and V of the Wilmington Oil Field, in Long Beach, California, but the approach is widely applicable in slope and basin reservoirs. Transferring technology so that it can be applied in other sections of the Wilmington Field and by operators in other slope and basin reservoirs is a primary component of the project. This project used advanced reservoir characterization tools, including the pulsed acoustic cased-hole logging tool, geologic three-dimensional (3-D) modeling software, and commercially available reservoir management software to identify sands with remaining high oil saturation following waterflood. Production from the identified high oil saturated sands was stimulated by recompleting existing production and injection wells in these sands using conventional means as well as a short radius redrill candidate. Although these reservoirs have been waterflooded over 40 years, researchers have found areas of remaining oil saturation. Areas such as the top sand in the Upper Terminal Zone Fault Block V, the western fault slivers of Upper Terminal Zone Fault Block V, the bottom sands of the Tar Zone Fault Block V, and the eastern edge of Fault Block IV in both the Upper Terminal and Lower Terminal Zones all show significant remaining oil saturation. Each area of interest was uncovered emphasizing a different type of reservoir characterization technique or practice. This was not the original strategy but was necessitated by the different levels of progress in each of the project activities.

  12. Seawater can damage Saudi sandstone oil reservoirs

    SciTech Connect (OSTI)

    Dahab, A.S. (King Saud Univ., Riyadh (SA))

    1990-12-10

    Experiments have shown that formation damage from waterflooding of the Aramco and Alkhafji sandstones of Saudi Arabia will not occur if the salinity of the injected brines is higher than 20% NaCl. Because the connate water in these reservoirs has a high salt content of up to 231,000 ppm, Saudi oil fields are almost always susceptible to formation damage when flooded with seawater (about 38,500 ppm). The productive behavior of a reservoir can be affected by clay crystals developed within rock pores.

  13. DEVELOPMENT OF RESERVOIR CHARACTERIZATION TECHNIQUES AND PRODUCTION MODELS FOR EXPLOITING NATURALLY FRACTURED RESERVOIRS

    SciTech Connect (OSTI)

    Michael L. Wiggins; Raymon L. Brown; Faruk Civan; Richard G. Hughes

    2002-12-31

    For many years, geoscientists and engineers have undertaken research to characterize naturally fractured reservoirs. Geoscientists have focused on understanding the process of fracturing and the subsequent measurement and description of fracture characteristics. Engineers have concentrated on the fluid flow behavior in the fracture-porous media system and the development of models to predict the hydrocarbon production from these complex systems. This research attempts to integrate these two complementary views to develop a quantitative reservoir characterization methodology and flow performance model for naturally fractured reservoirs. The research has focused on estimating naturally fractured reservoir properties from seismic data, predicting fracture characteristics from well logs, and developing a naturally fractured reservoir simulator. It is important to develop techniques that can be applied to estimate the important parameters in predicting the performance of naturally fractured reservoirs. This project proposes a method to relate seismic properties to the elastic compliance and permeability of the reservoir based upon a sugar cube model. In addition, methods are presented to use conventional well logs to estimate localized fracture information for reservoir characterization purposes. The ability to estimate fracture information from conventional well logs is very important in older wells where data are often limited. Finally, a desktop naturally fractured reservoir simulator has been developed for the purpose of predicting the performance of these complex reservoirs. The simulator incorporates vertical and horizontal wellbore models, methods to handle matrix to fracture fluid transfer, and fracture permeability tensors. This research project has developed methods to characterize and study the performance of naturally fractured reservoirs that integrate geoscience and engineering data. This is an important step in developing exploitation strategies for optimizing the recovery from naturally fractured reservoir systems. The next logical extension of this work is to apply the proposed methods to an actual field case study to provide information for verification and modification of the techniques and simulator. This report provides the details of the proposed techniques and summarizes the activities undertaken during the course of this project. Technology transfer activities were highlighted by a two-day technical conference held in Oklahoma City in June 2002. This conference attracted over 90 participants and included the presentation of seventeen technical papers from researchers throughout the United States.

  14. ,"U.S. Proved Nonproducing Reserves"

    U.S. Energy Information Administration (EIA) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA -Annual",2014Proved Reserves, Wet After LeaseAnnual",2014Value andGas, WetProved

  15. Oklahoma Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+ LeaseWellhead PriceProved ReservesProved

  16. Oklahoma Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+ LeaseWellhead PriceProved ReservesProved+

  17. Pennsylvania Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+Elements) Gas6Proved ReservesProved

  18. Pennsylvania Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+Elements) Gas6Proved ReservesProved+ Lease

  19. Mississippi (with State off) Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved Reserves (Billionoff) Shale ProductionProved

  20. Montana Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved ReservesFoot)Year JanProved Reserves

  1. Montana Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved ReservesFoot)Year JanProved Reserves+

  2. U.S. Crude Oil plus Lease Condensate Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData Files TransportationSalesProved

  3. West Virginia Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2Year Jan%perReservesProved Reserves

  4. Alabama Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic(MillionDecadeIndustrialLiquids, Proved

  5. Arkansas Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570MonthThousand8 2(Million CubicProved

  6. California Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724perSalesFuel ConsumptionFuelLiquids, Proved

  7. Federal Offshore, Pacific (California) Dry Natural Gas Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun20032,485,331Gas ProvedDec. 31Proved739 724

  8. Federal Offshore, Pacific (California) Lease Condensate Proved Reserves,

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Mar Apr May Jun20032,485,331Gas ProvedDec. 31Proved739

  9. Feasibility of waterflooding Soku E7000 gas-condensate reservoir

    E-Print Network [OSTI]

    Ajayi, Arashi

    2002-01-01

    We performed a simple 3D compositional reservoir simulation study to examine the possibility of waterflooding the Soku E7 gas-condensate reservoir. This study shows that water injection results in higher condensate recovery than natural depletion...

  10. Monitoring and Modeling Fluid Flow in a Developing EGS Reservoir

    Broader source: Energy.gov [DOE]

    Project objectives: Better understand and model fluid injection into a tight reservoir on the edges of a hydrothermal field. Use seismic data to constrain geomechanical/hydrologic/thermal model of reservoir.

  11. Reservoir Simulation Used to Plan Diatomite Developement in Mountainous Region†

    E-Print Network [OSTI]

    Powell, Richard

    2012-10-19

    -10 md) and high viscosity (~220 cp) at the reservoir temperature. Cyclic steam injection has been widely used in diatomite reservoirs to take advantage of the diatomite rocks unique properties and lower the viscosity of the oil. Some companies used...

  12. Integrated Reservoir Characterization: Offshore Louisiana, Grand Isle Blocks 32 & 33†

    E-Print Network [OSTI]

    Casey, Michael Chase

    2011-08-08

    This thesis integrated geology, geophysics, and petroleum engineering data to build a detailed reservoir characterization models for three gas pay sands in the Grand Isle 33 & 43 fields, offshore Louisiana. The reservoirs are Late Miocene in age...

  13. Integrated reservoir characterization for the Mazari oil field, Pakistan†

    E-Print Network [OSTI]

    Ashraf, Ejaz

    1994-01-01

    This thesis describes a field study performed on the Mazari oil field located in Sind province, Pakistan. We used an integrated reservoir characterization technique to incorporate the geological, petrophysical, and reservoir performance data...

  14. Modeling of Magnetic Nanoparticles Transport in Shale Reservoirs

    E-Print Network [OSTI]

    An, Cheng

    2014-12-18

    stimulated reservoir volume (SRV) from induced fractures play a critical role in significantly increasing well productivity. In this project, a mathematical model for simulating nanoparticle transport in shale reservoirs was developed. The simulator includes...

  15. Evaluating human fecal contamination sources in Kranji Reservoir Catchment, Singapore

    E-Print Network [OSTI]

    Nshimyimana, Jean Pierre

    2010-01-01

    Singapore government through its Public Utilities Board is interested in opening Kranji Reservoir to recreational use. However, water courses within the Kranji Reservoir catchment contain human fecal indicator bacteria ...

  16. Optimal reservoir management using adaptive reduced-order models

    E-Print Network [OSTI]

    Alghareeb, Zeid M

    2015-01-01

    Reservoir management and decision-making is often cast as an optimization problem where we seek to maximize the field's potential recovery while minimizing associated operational costs. Two reservoir management aspects are ...

  17. Structural Reliability: Assessing the Condition and Reliability of Casing in Compacting Reservoirs

    E-Print Network [OSTI]

    Chantose, Prasongsit

    2012-02-14

    Casing has a higher risk of failure in a compacting reservoir than in a typical reservoir. Casing fails when reservoir compaction induces compression and shear stresses onto it. They compact as reservoir pressure depletes during production. High...

  18. The Optimization of Well Spacing in a Coalbed Methane Reservoir

    E-Print Network [OSTI]

    Sinurat, Pahala Dominicus

    2012-02-14

    , such as rank of the coal, coal composition, micropores structure, reservoir pressure, molecular properties of gas adsorbed on the internal surface of coal seam, and reservoir temperature3,7. An idealized model of coalbed methane reservoir consists of a... making process. The uncertainties include the coal density, permeability or gas content as parameters of coal properties. Each coalbed methane reservoir property will govern production performance in a certain degree. Some parameters strongly influence...

  19. Incorporating reservoir heterogeneity with geostatistics to investigate waterflood recoveries

    SciTech Connect (OSTI)

    Wolcott, D.S. ); Chopra, A.K. )

    1993-03-01

    This paper presents an investigation of infill drilling performance and reservoir continuity with geostatistics and a reservoir simulator. The geostatistical technique provides many possible realizations and realistic descriptions of reservoir heterogeneity. Correlation between recovery efficiency and thickness of individual sand subunits is shown. Additional recovery from infill drilling results from thin, discontinuous subunits. The technique may be applied to variations in continuity for other sandstone reservoirs.

  20. Fourteenth workshop geothermal reservoir engineering: Proceedings

    SciTech Connect (OSTI)

    Ramey, H.J. Jr.; Kruger, P.; Horne, R.N.; Miller, F.G.; Brigham, W.E.; Cook, J.W.

    1989-01-01

    The Fourteenth Workshop on Geothermal Reservoir Engineering was held at Stanford University on January 24--26, 1989. Major areas of discussion include: (1) well testing; (2) various field results; (3) geoscience; (4) geochemistry; (5) reinjection; (6) hot dry rock; and (7) numerical modelling. For these workshop proceedings, individual papers are processed separately for the Energy Data Base.

  1. Innovative MIOR Process Utilizing Indigenous Reservoir Constituents

    SciTech Connect (OSTI)

    Hitzman, D.O.; stepp, A.K.; Dennis, D.M.; Graumann, L.R.

    2003-02-11

    This research program was directed at improving the knowledge of reservoir ecology and developing practical microbial solutions for improving oil production. The goal was to identify indigenous microbial populations which can produce beneficial metabolic products and develop a methodology to stimulate those select microbes with nutrient amendments to increase oil recovery. This microbial technology has the capability of producing multiple oil-releasing agents.

  2. Evolution of analyzing reservoir simulation data

    SciTech Connect (OSTI)

    Phelps, R.E.; Huang, A.Y.

    1994-12-31

    Numerical Reservoir Simulation is routinely used by the petroleum producing companies world-wide as an engineering tool to efficiently manage their hydrocarbon reservoirs. The task of building models with a large number of grid-blocks is not easy, and to analyze the voluminous results produced by such models is even more difficult. This paper discusses the historical evolution of techniques used to analyze reservoir simulation data over the past decade. It outlines how the advancement of workstation technology and the introduction of X-Window System opened up an entirely new way of utilizing mainframe computing power and workstation graphical display capabilities, simultaneously. The paper also discusses Saudi Aramco`s experience in the development of sophisticated reservoir simulation post-processing packages. The need for direct communication between the programmer and end-users to facilitate a user-friendly package is emphasized. A practical example illustrating the benefit of these post-processing packages in the construction and history matching of a large model with approximately 52,000 cells is presented. Savings in manpower and computer resources using current technology are estimated.

  3. Evolution of analyzing reservoir simulation data

    SciTech Connect (OSTI)

    Phelps, R.E.; Huang, A.Y.

    1995-12-01

    Petroleum-producing companies world-wide routinely use numerical reservoir simulation as an engineering tool to manage their hydrocarbon reservoirs efficiently. The task of building models with a large number of gridblocks is not easy, and analyzing the voluminous results produced by such models is even more difficult. This paper discusses the historical evolution of techniques used to analyze reservoir simulation data over the past decade. It outlines how the advancement of workstation technology and the introduction of an X-Window system opened up an entirely new way of using mainframe computing power and workstation graphical display capabilities simultaneously. The paper also discusses Saudi Aramco`s experience in the development of sophisticated reservoir simulation postprocessing packages. The authors emphasize the need for direct communication between the programmer and end users to facilitate a user-friendly package. They present a practical example illustrating the benefit of these postprocessing packages in the construction and history matching of a large model with approximately 52,000 cells. They estimate savings in manpower and computer resources using current technology.

  4. Fourteenth workshop geothermal reservoir engineering: Proceedings

    SciTech Connect (OSTI)

    Ramey, H.J. Jr.; Kruger, P.; Horne, R.N.; Miller, F.G.; Brigham, W.E.; Cook, J.W.

    1989-12-31

    The Fourteenth Workshop on Geothermal Reservoir Engineering was held at Stanford University on January 24--26, 1989. Major areas of discussion include: (1) well testing; (2) various field results; (3) geoscience; (4) geochemistry; (5) reinjection; (6) hot dry rock; and (7) numerical modelling. For these workshop proceedings, individual papers are processed separately for the Energy Data Base.

  5. Network Stochastic Programming for Valuing Reservoir Storage

    E-Print Network [OSTI]

    complicates the simultaneous optimization of hydropower for a multi-stage, multi-reservoir system. The expected value of hydropower must be simultaneously optimized over all time steps and scenarios. Previous stochastic programming model of the Tennessee River Basin converged rapidly to an upper bound on hydropower

  6. Underground natural gas storage reservoir management

    SciTech Connect (OSTI)

    Ortiz, I.; Anthony, R.

    1995-06-01

    The objective of this study is to research technologies and methodologies that will reduce the costs associated with the operation and maintenance of underground natural gas storage. This effort will include a survey of public information to determine the amount of natural gas lost from underground storage fields, determine the causes of this lost gas, and develop strategies and remedial designs to reduce or stop the gas loss from selected fields. Phase I includes a detailed survey of US natural gas storage reservoirs to determine the actual amount of natural gas annually lost from underground storage fields. These reservoirs will be ranked, the resultant will include the amount of gas and revenue annually lost. The results will be analyzed in conjunction with the type (geologic) of storage reservoirs to determine the significance and impact of the gas loss. A report of the work accomplished will be prepared. The report will include: (1) a summary list by geologic type of US gas storage reservoirs and their annual underground gas storage losses in ft{sup 3}; (2) a rank by geologic classifications as to the amount of gas lost and the resultant lost revenue; and (3) show the level of significance and impact of the losses by geologic type. Concurrently, the amount of storage activity has increased in conjunction with the net increase of natural gas imports as shown on Figure No. 3. Storage is playing an ever increasing importance in supplying the domestic energy requirements.

  7. Using Lightweight Theorem Proving in an Asynchronous Systems Context

    E-Print Network [OSTI]

    Xi, Hongwei

    Using Lightweight Theorem Proving in an Asynchronous Systems Context Matthew Danish and Hongwei Xi of the development of a new real-time operating system, an asynchronous communication mechanism, for use between applications, has been implemented in a programming language with an advanced static type system

  8. Xs are for Trajectory Evaluation, Booleans are for Theorem Proving

    E-Print Network [OSTI]

    Melham, Tom

    . Aagaard,1 Thomas F. Melham,2 John W. O'Leary1 1 Strategic CAD Labs 2 FATA Research Group Intel Corporation and model checkers. #12;M. D. Aagaard, T. F. Melham and J. W. O'Leary, `Xs are for Trajec- tory Evaluation. Melham, and J. W. O'Leary, `Xs are for Trajectory Evaluation, Booleans are for Theo- rem Proving

  9. Theorem Proving Support for Hardware Veri cation |Preliminary Draft|

    E-Print Network [OSTI]

    Kapur, Deepak

    Theorem Proving Support for Hardware Veri#12;cation |Preliminary Draft| Deepak Kapur ? Department reasoning is viewed as a critical technology in designing complex hardware chips, con- trollers, network. Hardware chips are becoming complex, because of which it is increasingly being felt that formal techniques

  10. A Reservoir Sampling Algorithm with Adaptive Estimation of Conditional Expectation

    E-Print Network [OSTI]

    Vucetic, Slobodan

    a reservoir with capacity to hold R examples, the simplest procedure [4] is to replace the t-th observed example from a stream with a randomly chosen reservoir example with probability min(1, R examples, other than the R examples included in the reservoir, are simply ignored. Manuscript received

  11. Petro-electric modeling for CSEM reservoir characterization and monitoring

    E-Print Network [OSTI]

    Key, Kerry

    saturation assuming a noncompacting isothermal reservoir. Time-lapse CSEM has been considered by severalPetro-electric modeling for CSEM reservoir characterization and monitoring Alireza Shahin1 , Kerry to highlight the applicability of this technique for reservoir monitoring. This work appraises the ability

  12. WestVirginiaUniversity SPE 65675 Reservoir Characterization

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    to measure effective porosity (MPHI) and irreducible water saturation (MBVI) in the reservoir rockWestVirginiaUniversity SPE 65675 SPE 65675 Reservoir Characterization Through Synthetic Logs Shahab cost effective way for reservoir characterization. ∑ The methodology uses the available well log data

  13. APPLICATION OF NEW SEISMIC ATTRIBUTES TO RESERVOIR MONITORING

    E-Print Network [OSTI]

    APPLICATION OF NEW SEISMIC ATTRIBUTES TO RESERVOIR MONITORING by Tagir Galikeev #12;#12;ABSTRACT and to best conduct seismic inversion and adapt it to reservoir model building for volumetric computation and reservoir simulation. The author develops algorithms of the seismic attributes including frequency

  14. The Statistical Reservoir Model: calibrating faults and fractures, and predicting reservoir response to water flood

    E-Print Network [OSTI]

    geomechanics to have a significant influence on hydrocarbon production rates through changes in the effective 2004). Geomechanics not only predicts a reservoir response in the near field, but also at long range i

  15. Seismic Determination of Reservoir Heterogeneity: Application to the Characterization of Heavy Oil Reservoirs

    SciTech Connect (OSTI)

    Imhof, Matthias G.; Castle, James W.

    2003-03-12

    The objective of the project was to examine how seismic and geologic data could be used to improve characterization of small-scale heterogeneity and their parameterization in reservoir models. The study was performed at West Coalinga Field in California.

  16. Type curve analysis for naturally fractured reservoirs (infinite-acting reservoir case): a new approach†

    E-Print Network [OSTI]

    Angel Restrepo, Juan Alejandro

    2000-01-01

    . The objectives of this work are as follows: First, we generated new type curves for the analysis of pressure drawdown and buildup tests performed in naturally fractured reservoirs. Next, we develop a systematic approach for the analysis and interpretation...

  17. Integrated Multi-Well Reservoir and Decision Model to Determine Optimal Well Spacing in Unconventional Gas Reservoirs

    E-Print Network [OSTI]

    Ortiz Prada, Rubiel Paul

    2012-02-14

    Optimizing well spacing in unconventional gas reservoirs is difficult due to complex heterogeneity, large variability and uncertainty in reservoir properties, and lack of data that increase the production uncertainty. Previous methods are either...

  18. Development of an analytical solution for thermal single-well injection-withdrawal tests in horizontally fractured reservoirs

    E-Print Network [OSTI]

    Jung, Y.

    2014-01-01

    I. (2005), Geothermal Reservoir Characterization via Thermalfor characterization of fractured geothermal reservoirs. For

  19. Development of Reservoir Characterization Techniques and Production Models for Exploiting Naturally Fractured Reservoirs

    SciTech Connect (OSTI)

    Wiggins, Michael L; Brown, Raymon L.; Civan, Faruk; Hughes, Richard G.

    2002-10-08

    During this reporting period, research was continued on characterizing and modeling the behavior of naturally fractured reservoir systems. This report proposed a model to relate the seismic response to production data to determine crack spacing and aperture, provided details of tests of proposed models to obtain fracture properties from conventional well logs with actual field data, and verification of the naturally fractured reservoir simulator developed in this project.

  20. Increasing Waterflood Reserves in the Wilmington Oil Field through Improved Reservoir Characterization and Reservoir Management

    SciTech Connect (OSTI)

    Clarke, D.; Koerner, R.; Moos D.; Nguyen, J.; Phillips, C.; Tagbor, K.; Walker, S.

    1999-04-05

    This project used advanced reservoir characterization tools, including the pulsed acoustic cased-hole logging tool, geologic three-dimensional (3-D) modeling software, and commercially available reservoir management software to identify sands with remaining high oil saturation following waterflood. Production from the identified high oil saturated sands was stimulated by recompleting existing production and injection wells in these sands using conventional means as well as a short radius redrill candidate.

  1. The effects of production rates and some reservoir parameters on recovery in a strong water drive gas reservoir

    E-Print Network [OSTI]

    Soemarso, Christophorus

    1978-01-01

    THE EFFECTS OF PRODUCTION RATES AND SOME RESERVOIR PARAMETERS ON RECOVERY IN A STRONG WATER DRIVE GAS RESERVOIR A Thesis by CHRISTOPHORUS SOEMARSO Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE December 1978 Major Subject: Petroleum Engineering THE EFFECTS OF PRODUCTION RATES AND SOME RESERVOIR PARAMETERS ON RECOVERY IN A STRONG WATER DRIVE GAS RESERVOIR A Thesis by CHRISTOPHORUS SOEMARSO...

  2. Relation between facies, diagenesis, and reservoir quality of Rotliegende reservoirs in north Germany

    SciTech Connect (OSTI)

    David, F.; Gast, R.; Kraft, T. (BEB Erdgas Erdol GmbH, Hannover (Germany))

    1993-09-01

    In north Germany, the majority of Rotliegende gas fields is confined to an approximately 50 km-wide east-west-orientated belt, which is situated on the gently north-dipping flank of the southern Permian basin. Approximately 400 billion m[sup 3] of natural gas has been found in Rotliegende reservoir sandstones with average porosities of depths ranging from 3500 to 5000 m. Rotliegende deposition was controlled by the Autunian paleo-relief, and arid climate and cyclic transgressions of the desert lake. In general, wadis and large dunefields occur in the hinterland, sebkhas with small isolate dunes and shorelines define the coastal area, and a desert lake occurs to the north. The sandstones deposited in large dunefields contain only minor amounts of illite, anhydrite, and calcite and form good reservoirs. In contrast, the small dunes formed in the sebkha areas were affected by fluctuations of the desert lake groundwaters, causing the infiltration of detrital clay and precipitation of gypsum and calcite. These cements were transformed to illite, anhydrite, and calcite-II during later diagenesis, leading to a significant reduction of the reservoir quality. The best reservoirs occur in the shoreline sandstones because porosity and permeability were preserved by early magnesium-chlorite diagenesis. Since facies controls diagenesis and consequently reservoir quality, mapping of facies also indicates the distribution of reservoir and nonreservoir rocks. This information is used to identify play area and to interpret and calibrate three-dimensional seismic data.

  3. 5(b)/9(c) Final Revised Policy

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Revised Policy on Determining Net Requirements of Pacific Northwest Utility Customers Under Sections 5(b)(1) and 9(c) of the Northwest Power Act (First revision. Issued March 19,...

  4. Using time-lapse seismics as a reservoir-monitoring tool, geophysics can help distinguish different reservoir pro-

    E-Print Network [OSTI]

    reservoir pro- duction scenarios. For example, Eiken et al. (2000) success- fully detected fluid-saturation life, oil saturation usually decreases, reservoir pressure declines, and gas breakout may occurUsing time-lapse seismics as a reservoir-monitoring tool, geophysics can help distinguish different

  5. The Potosi Reservoir Model 2013c, Property Modeling Update

    SciTech Connect (OSTI)

    Adushita, Yasmin; Smith, Valerie; Leetaru, Hannes

    2014-09-30

    As part of a larger project co-funded by the United States Department of Energy (US DOE) to evaluate the potential of formations within the Cambro-Ordovician strata above the Mt. Simon as potential targets for carbon sequestration in the Illinois and Michigan Basins, the Illinois Clean Coal Institute (ICCI) requested Schlumberger to evaluate the potential injectivity and carbon dioxide (CO2) plume size of the Cambrian Potosi Formation. The evaluation of this formation was accomplished using wireline data, core data, pressure data, and seismic data from this project as well as two other separately funded projects: the US DOE-funded Illinois BasinĖDecatur Project (IBDP) being conducted by the Midwest Geological Sequestration Consortium (MGSC) in Macon County, Illinois, and the Illinois Industrial Carbon Capture and Sequestration (ICCS) project funded through the American Recovery and Reinvestment Act. In 2010, technical performance evaluations on the Cambrian Potosi Formation were performed through reservoir modeling. The data included formation tops from mud logs, well logs from the Verification Well #1 (VW1) and the Injection Well (CCS1), structural and stratigraphic formation from three dimensional (3D) seismic data, and field data from several waste water injection wells for Potosi Formation. The intention was for 2.2 million tons per annum (2 million tonnes per annum [MTPA]) of CO2 to be injected for 20 years. In the Task Error! Reference source not found., the 2010 Potosi heterogeneous model (referred to as the "Potosi Dynamic Model 2010") was re-run using a new injection scenario of 3.5 million tons per annum (3.2 MTPA) for 30 years. The extent of the Potosi Dynamic Model 2010, however, appeared too small for the new injection target. The models size was insufficient to accommodate the evolution of the plume. The new model, Potosi Dynamic Model 2013a, was built by extending the Potosi Dynamic Model 2010 grid to 30 by 30 mi (48 by 48 km), while preserving all property modeling workflows and layering. This model was retained as the base case. In the preceding Task [1], the Potosi reservoir model was updated to take into account the new data from the Verification Well #2 (VW2) which was drilled in 2012. The porosity and permeability modeling was revised to take into account the log data from the new well. Revisions of the 2010 modeling assumptions were also done on relative permeability, capillary pressures, formation water salinity, and the maximum allowable well bottomhole pressure. Dynamic simulations were run using the injection target of 3.5 million tons per annum (3.2 MTPA) for 30 years. This dynamic model was named Potosi Dynamic Model 2013b. In this Task, a new property modeling workflow was applied, where seismic inversion data guided the porosity mapping and geobody extraction. The static reservoir model was fully guided by PorosityCube interpretations and derivations coupled with petrophysical logs from three wells. The two main assumptions are: porosity features in the PorosityCube that correlate with lost circulation zones represent vugular zones, and that these vugular zones are laterally continuous. Extrapolation was done carefully to populate the vugular facies and their corresponding properties outside the seismic footprint up to the boundary of the 30 by 30 mi (48 by 48 km) model. Dynamic simulations were also run using the injection target of 3.5 million tons per annum (3.2 MTPA) for 30 years. This new dynamic model was named Potosi Dynamic Model 2013c. Reservoir simulation with the latest model gives a cumulative injection of 43 million tons (39 MT) in 30 years with a single well, which corresponds to 40% of the injection target. The injection rate is approx. 3.2 MTPA in the first six months as the well is injecting into the surrounding vugs, and declines rapidly to 1.8 million tons per annum (1.6 MTPA) in year 3 once the surrounding vugs are full and the CO2 start to reach the matrix. After, the injection rate declines gradually to 1.2 million tons per annum (1.1 MTPA) in year 18 and stays consta

  6. Renewable Energy Opportunties at Dugway Proving Ground, Utah

    SciTech Connect (OSTI)

    Orrell, Alice C.; Kora, Angela R.; Russo, Bryan J.; Horner, Jacob A.; Williamson, Jennifer L.; Weimar, Mark R.; Gorrissen, Willy J.; Nesse, Ronald J.; Dixon, Douglas R.

    2010-05-31

    This document provides an overview of renewable resource potential at Dugway Proving Ground, based primarily upon analysis of secondary data sources supplemented with limited on-site evaluations. This effort focuses on grid-connected generation of electricity from renewable energy sources and ground source heat pumps (GSHPs). The effort was funded by the U.S. Army Installation Management Command (IMCOM) as follow-on to the 2005 Department of Defense (DoD) Renewables Assessment.

  7. ALKALINE-SURFACTANT-POLYMER FLOODING AND RESERVOIR CHARACTERIZATION OF THE BRIDGEPORT AND CYPRESS RESERVOIRS OF THE LAWRENCE FIELD

    SciTech Connect (OSTI)

    Malcolm Pitts; Ron Damm; Bev Seyler

    2003-04-01

    Feasibility of alkaline-surfactant-polymer flood for the Lawrence Field in Lawrence County, Illinois is being studied. Two injected formulations are being designed; one for the Bridgeport A and Bridgeport B reservoirs and one for Cypress and Paint Creek reservoirs. Fluid-fluid and coreflood evaluations have developed a chemical solution that produces incremental oil in the laboratory from the Cypress and Paint Creek reservoirs. A chemical formulation for the Bridgeport A and Bridgeport B reservoirs is being developed. A reservoir characterization study is being done on the Bridgeport A, B, & D sandstones, and on the Cypress sandstone. The study covers the pilot flood area and the Lawrence Field.

  8. ALKALINE-SURFACTANT-POLYMER FLOODING AND RESERVOIR CHARACTERIZATION OF THE BRIDGEPORT AND CYPRESS RESERVOIRS OF THE LAWRENCE FIELD

    SciTech Connect (OSTI)

    Malcolm Pitts; Ron Damm; Bev Seyler

    2003-03-01

    Feasibility of alkaline-surfactant-polymer flood for the Lawrence Field in Lawrence County, Illinois is being studied. Two injected formulations are being designed; one for the Bridgeport A and Bridgeport B reservoirs and one for Cypress and Paint Creek reservoirs. Fluid-fluid and coreflood evaluations have developed a chemical solution that produces incremental oil in the laboratory from the Cypress and Paint Creek reservoirs. A chemical formulation for the Bridgeport A and Bridgeport B reservoirs is being developed. A reservoir characterization study is being done on the Bridgeport A, B, & D sandstones, and on the Cypress sandstone. The study covers the pilot flood area and the Lawrence Field.

  9. Innovative MIOR Process Utilizing Indigenous Reservoir Constituents

    SciTech Connect (OSTI)

    D. O. Hitzman; A. K. Stepp; D. M. Dennis; L. R. Graumann

    2003-03-31

    This research program is directed at improving the knowledge of reservoir ecology and developing practical microbial solutions for improving oil production. The goal is to identify indigenous microbial populations which can produce beneficial metabolic products and develop a methodology to stimulate those select microbes with nutrient amendments to increase oil recovery. This microbial technology has the capability of producing multiple oil-releasing agents. Experimental laboratory work is underway. Microbial cultures have been isolated from produced water samples. Comparative laboratory studies demonstrating in situ production of microbial products as oil recovery agents were conducted in sand packs with natural field waters with cultures and conditions representative of oil reservoirs. Field pilot studies are underway.

  10. Storage Ring Revised March 1994

    E-Print Network [OSTI]

    Brookhaven National Laboratory - Experiment 821

    Chapter 8. Storage Ring Revised March 1994 8.1. Introduction -- 107 -- #12; 108 Storage Ring 8.2. Magnetic Design and Field Calculations 8.2.1. Conceptual Approach #12; Storage Ring 109 #12; 110 Storage Ring 8.2.2. Computer Aided Refined Pole Designs #12; Storage Ring 111 #12; 112 Storage Ring #12

  11. REVISED NATURAL GAS MARKET ASSESSMENT

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION REVISED NATURAL GAS MARKET ASSESSMENT In Support of the 2007's natural gas market. It covers natural gas demand, supply, infrastructure, price, and possible alternative and the related Scenarios Project, and additional updated information. California natural gas demand growth

  12. Automatic Linear Orders (Revised Version)

    E-Print Network [OSTI]

    Stephan, Frank

    CDMTCS Research Report Series Automatic Linear Orders and Trees (Revised Version) Bakhadyr; Automatic Linear Orders and Trees Bakhadyr Khoussainov, Sasha Rubin and Frank Stephan November 13, 2003 emphasis is on trees and linear orders. We study the relationship between automatic linear orders and trees

  13. Experimental production characteristics of anticlinal reservoirs

    E-Print Network [OSTI]

    Williams, Charles David

    1959-01-01

    field examples showing the importance of gxavity dxain- age on oil reservoir, perfoxmance have been pubhshed. Among these are the Gook Ranch Field in Shackleford County, Texas, the Mile (5) Six Pool in Peru, the Elk Basin Tensleep Reservoiz in Wyom... through the kerosene until a pressure above the desired bubble point pressure was attained. Kerosene was then circulated through. the gas cap in the mixing cylinder with a Hills-McGanna proportlosing pump until no further pressure drop was noted...

  14. Innovative MIOR Process Utilizing Indigenous Reservoir Constituents

    SciTech Connect (OSTI)

    Hitzman, D.O.; Stepp, A.K.; Dennis, D.M.; Graumann, L.R.

    2003-02-11

    This research program was directed at improving the knowledge of reservoir ecology and developing practical microbial solutions for improving oil production. The goal was to identify indigenous microbial populations which can produce beneficial metabolic products and develop a methodology to stimulate those select microbes with inorganic nutrient amendments to increase oil recovery. This microbial technology has the capability of producing multiple oil-releasing agents.

  15. Full Reviews: Reservoir Characterization | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12, 2015ExecutiveFluorescentDanKathy gdr.openei.orgReservoir Characterization

  16. Dual-porosity reservoir modeling of the fractured Hanifa reservoir, Abqaiq Field, Saudi Arabia

    SciTech Connect (OSTI)

    Luthy, S.T. [Saudi Aramco, Dhahran (Saudi Arabia)

    1996-12-31

    Fractures play a significant role in the transmissibility of the Hanifa reservoir at Abqaiq Field. The Hanifa is a Type 2 fractured reservoir characterized by a finely-crystalline carbonate matrix which contains most of the reservoir storage porosity, and a stylolitic fracture system which provides essential permeability. Comparisons of over 5000 fractures identified from core and borehole image data with open-hole log data showed that porosity is negatively correlated with fracture density and mechanical rock strength. From these relationships, it was possible to utilize additional wells where porosity log data was available to calculate fracture densities. These wells were used to generate matrix porosity and permeability as well as fracture density attributes in a 12-sequence, 29-layer geocellular model. The effect of structural curvature on fracture intensity in the reservoir was estimated by mapping the derivative of structural dip. Incorporation of structural curvature explained variations in well test behavior not predicted by initial estimates of fracture density from porosity alone. Resultant fracture permeabilities compared favorably with well-test derived productivity indices. Three-dimensional visualization of model attributes showed that a monotonous and low (<10 md) distribution of matrix-related permeability contrasts sharply with highly variable and relatively high (>50 md) permeabilities of the fracture system. Reliability of the geocellular model to predict fracture densities and associated permeabilities has been confirmed by subsequent drilling of high cost horizontal wells, and is being used in reservoir engineering and development drilling planning efforts.

  17. Dual-porosity reservoir modeling of the fractured Hanifa reservoir, Abqaiq Field, Saudi Arabia

    SciTech Connect (OSTI)

    Luthy, S.T. (Saudi Aramco, Dhahran (Saudi Arabia))

    1996-01-01

    Fractures play a significant role in the transmissibility of the Hanifa reservoir at Abqaiq Field. The Hanifa is a Type 2 fractured reservoir characterized by a finely-crystalline carbonate matrix which contains most of the reservoir storage porosity, and a stylolitic fracture system which provides essential permeability. Comparisons of over 5000 fractures identified from core and borehole image data with open-hole log data showed that porosity is negatively correlated with fracture density and mechanical rock strength. From these relationships, it was possible to utilize additional wells where porosity log data was available to calculate fracture densities. These wells were used to generate matrix porosity and permeability as well as fracture density attributes in a 12-sequence, 29-layer geocellular model. The effect of structural curvature on fracture intensity in the reservoir was estimated by mapping the derivative of structural dip. Incorporation of structural curvature explained variations in well test behavior not predicted by initial estimates of fracture density from porosity alone. Resultant fracture permeabilities compared favorably with well-test derived productivity indices. Three-dimensional visualization of model attributes showed that a monotonous and low (<10 md) distribution of matrix-related permeability contrasts sharply with highly variable and relatively high (>50 md) permeabilities of the fracture system. Reliability of the geocellular model to predict fracture densities and associated permeabilities has been confirmed by subsequent drilling of high cost horizontal wells, and is being used in reservoir engineering and development drilling planning efforts.

  18. Effects of diagenesis on reservoir quality within two Cypress reservoirs in the Illinois basin

    SciTech Connect (OSTI)

    Scott, B.D.; McGee, K.R.; Seyler, B. (Illinois State Geological Survey, Champaign (United States))

    1991-08-01

    One billion bbl of oil have been produced from the Chesterian Cypress Formation in the Illinois basin. These heterogeneous reservoirs may consist of deltaic, marine-reworked deltaic, and/or reworked marine sandstone within mixed siliciclastic-carbonate environments. Thin section, x-ray diffraction, and scanning electron microscopy coupled with energy dispersive x-ray analysis indicate that the effects of diagenesis play a significant role in reservoir quality of Mattoon and Parkersburg fields in Illinois. Five separate Cypress sandstones may be present at Mattoon field (Coles County), a predominantly stratigraphic trap, produces from three distinct Cypress strata. In these fields, reservoir quality is reduced when quartz overgrowths and later stage, blocky mosaic ferroan-calcite cement occlude pore throats. Authigenic clay minerals occur as pore-lining particles that inhibit fluid-flow. Clay minerals preset are illite, mixed-layered illite/smectite, chlorite, and kaolinite. Reservoir quality is enhanced through dissolution of early ferroan-calcite cement, dissolution of detrital feldspar, and microfracturing. Completion, stimulation, and production programs within the heterogeneous Cypress sandstone reservoirs would be improved by recognition of mineral relationships and diagenetic overprints. Developments programs may need to include the use of clay stabilizers in mud clean-out acid treatments.

  19. SEISMIC DETERMINATION OF RESERVOIR HETEROGENEITY: APPLICATION TO THE CHARACTERIZATION OF HEAVY OIL RESERVOIRS

    SciTech Connect (OSTI)

    Matthias G. Imhof; James W. Castle

    2005-02-01

    The objective of the project was to examine how seismic and geologic data can be used to improve characterization of small-scale heterogeneity and their parameterization in reservoir models. The study focused on West Coalinga Field in California. The project initially attempted to build reservoir models based on different geologic and geophysical data independently using different tools, then to compare the results, and ultimately to integrate them all. Throughout the project, however, we learned that this strategy was impractical because the different data and model are complementary instead of competitive. For the complex Coalinga field, we found that a thorough understanding of the reservoir evolution through geologic times provides the necessary framework which ultimately allows integration of the different data and techniques.

  20. SEISMIC DETERMINATION OF RESERVOIR HETEROGENEITY: APPLICATION TO THE CHARACTERIZATION OF HEAVY OIL RESERVOIRS

    SciTech Connect (OSTI)

    Matthias G. Imhof; James W. Castle

    2005-02-01

    The objective of the project was to examine how seismic and geologic data can be used to improve characterization of small-scale heterogeneity and their parameterization in reservoir models. The study focused on West Coalinga Field in California. The project initially attempted to build reservoir models based on different geologic and geophysical data independently using different tools, then to compare the results, and ultimately to integrate them all. We learned, however, that this strategy was impractical. The different data and tools need to be integrated from the beginning because they are all interrelated. This report describes a new approach to geostatistical modeling and presents an integration of geology and geophysics to explain the formation of the complex Coalinga reservoir.

  1. Potosi Reservoir Modeling; History and Recommendations

    SciTech Connect (OSTI)

    Smith, Valerie; Leetaru, Hannes

    2014-09-30

    As a part of a larger project co-funded by the United States Department of Energy (US DOE) to evaluate the potential of formations within the Cambro-Ordovician strata above the Mt. Simon as potential targets for carbon sequestration in the Illinois and Michigan Basins, the Illinois Clean Coal Institute (ICCI) requested Schlumberger to evaluate the potential injectivity and carbon dioxide (CO?) plume size of the Cambrian Potosi Formation. The evaluation of this formation was accomplished using wireline data, core data, pressure data, and seismic data from two projects: the US DOE-funded Illinois BasinĖDecatur Project being conducted by the Midwest Geological Sequestration Consortium in Macon County, Illinois, as well as data from the Illinois Ė Industrial Carbon Capture and Sequestration (IL-ICCS) project funded through the American Recovery and Reinvestment Act. In 2010, technical performance evaluations on the Cambrian Potosi Formation were performed through reservoir modeling. The data included formation tops from mud logs, well logs from the Verification Well 1 (VW1) and the Injection Well (CCS1), structural and stratigraphic formation from three dimensional (3D) seismic data, and field data from several waste water injection wells for the Potosi Formation. The intention was for two million tonnes per annum (MTPA) of CO? to be injected for 20 years into the Potosi Formation. In 2013, updated reservoir models for the Cambrian Potosi Formation were evaluated. The data included formation tops from mud logs, well logs from the CCS1, VW1, and Verification Well 2 (VW2) wells, structural and stratigraphic formation from a larger 3D seismic survey, and field data from several waste water injection wells for Potosi Formation. The objective is to simulate the injection of CO? at a rate 3.5 million tons per annum (3.2 million tonnes per annum [MTPA]) for 30 years 106 million tons (96 MT total) into the Potosi Formation. The Potosi geomodeling efforts have evolved from using data from a single well in 2010 to the inclusion of data from three wells in 2013 which largely leverage the porosity and permeability logs plus knowledge of lost circulation zones. The first Potosi model (Potosi Geobody Model 2010) attempted to use the available seismic inversion data to inform the geomodel and predict vugular zones in advance of drilling VW1. Lost circulation zones in VW1 came in as the geologists predicted. The model was not implemented in subsequent simulation work. To date, reservoir models used for flow simulation work have relied predominately on Gaussian distributed properties (porosity and permeability) and have employed a single injection well. Potosi Model 2013b incorporated the new VW2 logs, and exhibited an extra level of sophistication by delineating the vugular intervals. This method added further realism that likely represents the best reservoir approximation to date. Where the 2010 reservoir models were 10 by 10 mi (16 by 16 km) in area, the 2013 models were expanded in size to 30 by 30 mi (48 by 48 km). The latest reservoir simulations show that a minimum of four injectors might be required to meet target injection rates. Still, there is data that requires further scrutiny and modeling methodologies that require testing for the Potosi Formation. This work is currently ongoing, and the next phase of the reservoir modeling intends to implement valuable data like porosity derived from seismic inversion, seismically derived geobodies, or a combination of both to further define vugular zones and the porosity distribution within the Potosi Formation. Understanding the dual porosity, dual permeability character of the Potosi remains the greatest challenge in representing this formation. Further analysis of the FMI* fullbore formation microimager data may aid in assessing this uncertainty. The Potosi Formation is indeed an interesting formation, and recommendations to further characterize it are included in the following list: - Data acquisition to identify the vugs permeability, distribution, and interconnectivity could b

  2. West Virginia Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3Additions (Million CubicYear JanProved Reserves (Million Barrels)

  3. Texas Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan3 November18.5 385.5 47,187.8Year Jan0 0Liquids, Proved Reserves

  4. New York Natural Gas Liquids Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price780Year Jan Feb Mar AprFuelProved

  5. North Dakota Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb MarthroughFeet)Feet) Year Jan FebProved Reserves

  6. Pennsylvania Natural Gas Liquids Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan FebCubic Feet) AnnualProved Reserves (Million Barrels)

  7. Florida Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved Reserves (Billion Cubic Feet) Decade

  8. Florida Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved Reserves (Billion Cubic Feet)

  9. Florida Natural Gas Liquids Lease Condensate, Proved Reserves (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved ReservesYear Jan Feb Mar

  10. Florida Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved ReservesYear JanProcessedCubic

  11. Florida Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved ReservesYear

  12. Gulf of Mexico Federal Offshore Natural Gas Liquids Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969CentralWells (MillionProved%(Billionthan 200 Meters Deepthan

  13. Louisiana (with State Offshore) Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33 2,297 809ProvedShale

  14. Louisiana--North Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33CubicProcessedSeparation,Proved

  15. Louisiana--North Natural Gas Liquids Lease Condensate, Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number(Million Barrels) Proved Reserves

  16. Louisiana--South Onshore Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number(Million(MillionProved Reserves (Billion

  17. Louisiana--State Offshore Coalbed Methane Proved Reserves (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number(Million(MillionProved ReservesFeet)

  18. Louisiana--State Offshore Natural Gas Liquids Lease Condensate, Proved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number(Million(MillionProvedFeet)

  19. Lower 48 States Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential ConsumersProduction (MillionReservesSeparation,Proved

  20. Alabama Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers THURSDAY,Proved Reserves (Billion Cubic

  1. Alabama Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers THURSDAY,Proved Reserves (Billion

  2. Alaska (with Total Offshore) Coalbed Methane Proved Reserves (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers4.32 4.46 1967-2010YearFeet) Proved

  3. Alaska (with Total Offshore) Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal Consumers4.32 4.46Production (MillionProductionProved

  4. Arkansas Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - Natural GasYear Jan FebProved Reserves

  5. Arkansas Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - Natural GasYear Jan FebProved Reserves+

  6. Arkansas Natural Gas Liquids Lease Condensate, Proved Reserves (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona - Natural GasYear JanYearBarrels) Proved

  7. California (with State off) Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona -Production (MillionProved Reserves (Billion

  8. California - Coastal Region Coalbed Methane Proved Reserves (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona -Production (MillionProved Reserves

  9. California - Coastal Region Onshore Crude Oil + Lease Condensate Proved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 Arizona -Production (MillionProved

  10. Colorado Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic Feet) Gas Wells (Million7Proved Reserves

  11. Colorado Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4Cubic Feet) Gas Wells (Million7Proved Reserves+

  12. New Mexico--West Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,2226UndergroundProductionProved Reserves (Billion

  13. New York Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2,2,435,2226UndergroundProductionProved

  14. North Dakota Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5Net+ Lease Condensate Proved

  15. Ohio Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1 Year-2 Year-3+ Lease Condensate Proved Reserves (Million

  16. Miscellaneous States Shale Gas Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved Reserves (Billion Cubic Feet)Shale Gas

  17. Mississippi (with State off) Coalbed Methane Proved Reserves (Billion Cubic

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved Reserves (Billion

  18. Mississippi Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved Reserves (Billionoff) ShaleCrude Oil + Lease

  19. Mississippi Natural Gas, Wet After Lease Separation Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved Reserves (Billionoff)Year(Billion Cubic

  20. Mississippi Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved Reserves (Billionoff)Year(Billion

  1. Montana Natural Gas Liquids Lease Condensate, Proved Reserves (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014Proved ReservesFoot)YearFoot)Year

  2. Montana Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYear Jan Feb Mar Apr MayYear JanWellhead

  3. Montana Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYear Jan Feb Mar Apr MayYear

  4. Natural Gas Liquids Proved Reserves as of Dec. 31

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYearthrough2,290,4896-2015913,2297,459 7,928

  5. Natural Gas Liquids Proved Reserves as of Dec. 31

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYearthrough2,290,4896-2015913,2297,459

  6. Texas (with State Offshore) Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1Plant ProcessingProduction (Million Barrels)Proved

  7. Texas - RRC District 5 Crude Oil + Lease Condensate Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1Plant ProcessingProductionCubicProvedSeparation,

  8. Texas - RRC District 6 Crude Oil + Lease Condensate Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved Reserves (Billion Cubic Feet)

  9. Texas - RRC District 8 Crude Oil + Lease Condensate Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved(Million Barrels) Crude Oil +

  10. Texas - RRC District 9 Crude Oil + Lease Condensate Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved(Million(Million Barrels) Crude

  11. Texas Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0 Year-1PlantSeparation, Proved(Million(MillionReserves (BillionCrude

  12. Texas--State Offshore Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved Reserves (BillionProduction(Million

  13. U.S. Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData Files TransportationSales (BillionU.S.(Billion

  14. U.S. Shale Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009 2010 2011 2012

  15. Utah Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009 2010Feet)2. Number

  16. Utah Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009 2010Feet)2. Number+ Lease Condensate

  17. Utah Natural Gas Liquids Lease Condensate, Proved Reserves (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009 2010Feet)2.Decade Year-0Year Jan

  18. Utah Nonassociated Natural Gas, Wet After Lease Separation, Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009Reserves Based38 4.23Feet) Gas,

  19. Virginia Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0Proved ReservesData20092009ReservesThousand CubicProduction

  20. Virginia Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2 Year-3 Year-4Year JanWellheadCubic

  1. Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2 Year-3 Year-4Year

  2. West Virginia Crude Oil + Lease Condensate Proved Reserves (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2Year Jan Feb

  3. West Virginia Natural Gas Liquids Lease Condensate, Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2Year Jan% of

  4. West Virginia Natural Gas, Wet After Lease Separation Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2Year Jan%per

  5. West Virginia Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2Year Jan%perReserves (Billion Cubic

  6. Wyoming Coalbed Methane Proved Reserves (Billion Cubic Feet)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2YearWesternYearGasOECD/IEAProved

  7. Wyoming Crude Oil + Lease Condensate Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1 Year-2YearWesternYearGasOECD/IEAProved+

  8. Wyoming Natural Gas Liquids Lease Condensate, Proved Reserves (Million

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0 Year-1Expected FutureDecade

  9. Wyoming Natural Gas, Wet After Lease Separation Proved Reserves (Billion

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic Feet) Gas, Wet After Lease Separation

  10. Wyoming Nonassociated Natural Gas, Wet After Lease Separation, Proved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic Feet) Gas, Wet After Lease

  11. Alabama Coalbed Methane Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic(Million CubicWorking Gas1) Part 2D1,342

  12. Alabama Crude Oil plus Lease Condensate Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic(Million CubicWorking Gas1) Part 2D1,34253

  13. Alabama Lease Condensate Proved Reserves, Reserve Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade Year-0Cubic(Million CubicWorkingNewMay-15 Jun-15

  14. Alabama Nonassociated Natural Gas Proved Reserves, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304 1,670Same Month

  15. Alabama Shale Gas Proved Reserves, Reserves Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304 1,670Same0 1 2 2 15 2007 2008

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

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304 1,670Same0 1 2Cubic

  17. Alaska Crude Oil plus Lease Condensate Proved Reserves

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304 1,670Same0 1 2Cubic3,566 3,722

  18. Alaska Lease Condensate Proved Reserves, Reserve Changes, and Production

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304 1,670Same0New2009 2010 20110 0

  19. Alaska Natural Gas Plant Liquids, Proved Reserves (Million Barrels)

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570 2,304Exports (NoYear

  20. Alaska Nonassociated Natural Gas Proved Reserves, Wet After Lease

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)Decade Year-0ProvedDecade2,948 2,724 2,570Month Previous Year (Million