National Library of Energy BETA

Sample records for reservoir considered proved

  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. 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.

  3. 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...

  4. 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.

  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 Crude OilPropaneDataTotal

  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: Total Crude

  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: Total CrudeAssociated-dissolved

  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: Total

  9. 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

  10. 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

  11. 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

  12. 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.

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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...

  18. 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...

  19. 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.

  20. 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...

  1. 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

  2. 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.

  3. 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.

  4. ,"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...

  5. 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

  6. 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.

  7. 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.

  8. 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...

  9. MULTIDISCIPLINARY IMAGING OF ROCK PROPERTIES IN CARBONATE RESERVOIRS FOR FLOW-UNIT TARGETING

    SciTech Connect (OSTI)

    Stephen C. Ruppel

    2005-02-01

    Despite declining production rates, existing reservoirs in the US contain large quantities of remaining oil and gas that constitute a huge target for improved diagnosis and imaging of reservoir properties. The resource target is especially large in carbonate reservoirs, where conventional data and methodologies are normally insufficient to resolve critical scales of reservoir heterogeneity. The objectives of the research described in this report were to develop and test such methodologies for improved imaging, measurement, modeling, and prediction of reservoir properties in carbonate hydrocarbon reservoirs. The focus of the study is the Permian-age Fullerton Clear Fork reservoir of the Permian Basin of West Texas. This reservoir is an especially appropriate choice considering (a) the Permian Basin is the largest oil-bearing basin in the US, and (b) as a play, Clear Fork reservoirs have exhibited the lowest recovery efficiencies of all carbonate reservoirs in the Permian Basin.

  10. 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

  11. 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...

  12. Stress-dependent permeability on tight gas reservoirs 

    E-Print Network [OSTI]

    Rodriguez, Cesar Alexander

    2005-02-17

    People in the oil and gas industry sometimes do not consider pressure-dependent permeability in reservoir performance calculations. It basically happens due to lack of lab data to determine level of dependency. This thesis attempts to evaluate...

  13. 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

  14. Automated Theorem Proving Georg Struth

    E-Print Network [OSTI]

    Struth, Georg

    glimpses into: universal algebra, order theory/combinatorics, termination, computational algebra, semantics Rewriting examples: consider the following rules for the stack top(push(x, y)) x pop(push(x, y)) y empty?() T empty?(push(x, y)) F question: what about the rule push(top(x), pop(x)) x which applies if empty?x = F

  15. 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...

  16. 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

  17. 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.

  18. 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)

  19. 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...

  20. 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

  1. 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

  2. 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

  3. ,"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...

  4. ,"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...

  5. ,"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...

  6. ,"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...

  7. ,"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...

  8. ,"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...

  9. ,"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...

  10. ,"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...

  11. ,"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...

  12. ,"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...

  13. ,"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...

  14. ,"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...

  15. ,"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...

  16. ,"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...

  17. ,"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...

  18. ,"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...

  19. ,"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...

  20. ,"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...

  1. Advanced Oil Recovery Technologies for Improved Recovery from Slope Basin Clastic Reservoirs, Nash Draw Brushy Canyon Pool, Eddy County, NM

    SciTech Connect (OSTI)

    Mark B. Murphy

    2005-09-30

    The Nash Draw Brushy Canyon Pool in Eddy County New Mexico was a cost-shared field demonstration project in the U.S. Department of Energy Class III Program. A major goal of the Class III Program was to stimulate the use of advanced technologies to increase ultimate recovery from slope-basin clastic reservoirs. Advanced characterization techniques were used at the Nash Draw Pool (NDP) project to develop reservoir management strategies for optimizing oil recovery from this Delaware reservoir. The objective of the project was to demonstrate that a development program, which was based on advanced reservoir management methods, could significantly improve oil recovery at the NDP. Initial goals were (1) to demonstrate that an advanced development drilling and pressure maintenance program can significantly improve oil recovery compared to existing technology applications and (2) to transfer these advanced methodologies to other oil and gas producers. Analysis, interpretation, and integration of recently acquired geological, geophysical, and engineering data revealed that the initial reservoir characterization was too simplistic to capture the critical features of this complex formation. Contrary to the initial characterization, a new reservoir description evolved that provided sufficient detail regarding the complexity of the Brushy Canyon interval at Nash Draw. This new reservoir description was used as a risk reduction tool to identify 'sweet spots' for a development drilling program as well as to evaluate pressure maintenance strategies. The reservoir characterization, geological modeling, 3-D seismic interpretation, and simulation studies have provided a detailed model of the Brushy Canyon zones. This model was used to predict the success of different reservoir management scenarios and to aid in determining the most favorable combination of targeted drilling, pressure maintenance, well stimulation, and well spacing to improve recovery from this reservoir. An Advanced Log Analysis technique developed from the NDP project has proven useful in defining additional productive zones and refining completion techniques. This program proved to be especially helpful in locating and evaluating potential recompletion intervals, which has resulted in low development costs with only small incremental increases in lifting costs. To develop additional reserves at lower costs, zones behind pipe in existing wells were evaluated using techniques developed for the Brushy Canyon interval. These techniques were used to complete uphole zones in thirteen of the NDP wells. A total of 14 recompletions were done: four during 1999, four during 2000, two during 2001, and four during 2002-2003. These workovers added reserves of 332,304 barrels of oil (BO) and 640,363 MCFG (thousand cubic feet of gas) at an overall weighted average development cost of $1.87 per BOE (barrel of oil equivalent). A pressure maintenance pilot project in a developed area of the field was not conducted because the pilot area was pressure depleted, and the reservoir in that area was found to be compartmentalized and discontinuous. Economic analyses and simulation studies indicated that immiscible injection of lean hydrocarbon gas for pressure maintenance was not warranted at the NDP and would need to be considered for implementation in similar fields very soon after production has started. Simulation studies suggested that the injection of miscible carbon dioxide (CO{sub 2}) could recover significant quantities of oil at the NDP, but a source of low-cost CO{sub 2} was not available in the area. Results from the project indicated that further development will be under playa lakes and potash areas that were beyond the regions covered by well control and are not accessible with vertical wells. These areas, covered by 3-D seismic surveys that were obtained as part of the project, were accessed with combinations of deviated/horizontal wells. Three directional/horizontal wells have been drilled and completed to develop reserves under surface-restricted areas and potash mines. The third

  2. All-optical Reservoir Computing

    E-Print Network [OSTI]

    Duport, François; 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.

  3. 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

  4. 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

  5. 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

  6. 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.

  7. 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.

  8. 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.

  9. 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...

  10. Technological problems associated with subsea development of high pressure and high temperature hydrocarbon reservoirs

    SciTech Connect (OSTI)

    Grillo, P.; Natarajan, S.

    1996-12-31

    The paper analyzes the implications in design of subsea completion for exploitation of HP/HT hydrocarbon reservoirs. The paper characterizes limitations associated with current subsea technology for HP/HT applications and outlines the engineering and technological development considered necessary to demonstrate the viability of subsea production technology for the exploitation of HP/HT reservoirs.

  11. 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

  12. 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

  13. 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.

  14. US production of natural gas from tight reservoirs

    SciTech Connect (OSTI)

    Not Available

    1993-10-18

    For the purposes of this report, tight gas reservoirs are defined as those that meet the Federal Energy Regulatory Commission`s (FERC) definition of tight. They are generally characterized by an average reservoir rock permeability to gas of 0.1 millidarcy or less and, absent artificial stimulation of production, by production rates that do not exceed 5 barrels of oil per day and certain specified daily volumes of gas which increase with the depth of the reservoir. All of the statistics presented in this report pertain to wells that have been classified, from 1978 through 1991, as tight according to the FERC; i.e., they are ``legally tight`` reservoirs. Additional production from ``geologically tight`` reservoirs that have not been classified tight according to the FERC rules has been excluded. This category includes all producing wells drilled into legally designated tight gas reservoirs prior to 1978 and all producing wells drilled into physically tight gas reservoirs that have not been designated legally tight. Therefore, all gas production referenced herein is eligible for the Section 29 tax credit. Although the qualification period for the credit expired at the end of 1992, wells that were spudded (began to be drilled) between 1978 and May 1988, and from November 5, 1990, through year end 1992, are eligible for the tax credit for a subsequent period of 10 years. This report updates the EIA`s tight gas production information through 1991 and considers further the history and effect on tight gas production of the Federal Government`s regulatory and tax policy actions. It also provides some high points of the geologic background needed to understand the nature and location of low-permeability reservoirs.

  15. 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.

  16. 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...

  17. Reservoir analysis study: Naval Petroleum Reserve No. 1, Elk Hills Field, Kern County, California: Phase 3 report, Recommended additional reservoir engineering analysis

    SciTech Connect (OSTI)

    Not Available

    1988-07-01

    The basis for completion of the Phase III tasks above were the reports of Phases I and II and the associated backup material. The Phase II report was reviewed to identify the major uncertainties in all of the reserve assignments. In addition to the Proved, Probable and Possible reserves of Phase II, ''potential reserves'' or those associated with a greater degree of risk than the Possible reserves included in the Phase II report, were also identified based on the work performed by Bergeson through the Phase II reporting date. Thirty-three specific studies were identified to address the major Phase II reserve uncertainties or these potential reserves. These studies are listed in Table 1 and are grouped by the Elk Hills pool designation. The basis and need for each study are elaborated in the discussion which follows. Where possible, the need for the study was quantified by associating the study with a particular reserve estimate which would be clarified by the analysis. This reserve value was either the Probable or Possible reserves which were being studied, the potential reserves that were identified, or simply the uncertainty inherent in the proved reserves as identified in the study purpose. The costs associated with performing the study are also shown in Table 1 and were estimated based on Bergeson's knowledge of the Elk Hills reservoirs and data base following Phases I and II, as well as the company's experience in performing similar studies in other fields. The cost estimates are considered reasonable for general budgeting purposes, but may require refinement prior to actual initiation of these studies. This is particularly true for studies involving field testing to obtain additional log, core or test information as the cost of such items is not considered in this report. 51 figs., 46 tabs.

  18. 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

  19. Reservoir/River System Reliability Considering Water Rights and Water Quality 

    E-Print Network [OSTI]

    Wurbs, Ralph A.; Sanchez-Torres, Gerardo; Dunn, David D.

    1994-01-01

    availability studies. However, from a practical water management perspective, these are the controlling factors in many river basins in Texas and elsewhere. The study documented by this report provides expanded capabilities for modeling and analysis...

  20. 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...

  1. 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

  2. Thermo-hydro-mechanical Analysis of Fractures and Wellbores in Petroleum/Geothermal Reservoirs 

    E-Print Network [OSTI]

    Safariforoshani, Mohammadreza

    2013-08-09

    The thesis considers three-dimensional analyses of fractures and wellbores in low-permeability petroleum/geothermal reservoirs, with a special emphasis on the role of coupled thermo-hydro-mechanical processes. Thermoporoelastic ...

  3. Issues in Assessing Short-Term Water Supply Capabilities of Reservoir Systems 

    E-Print Network [OSTI]

    Schnier, Spencer Thomas

    2012-07-16

    capabilities of the Water Rights Analysis Package (WRAP). This research improves the understanding of decision support tools for short-term river basin management. Current reservoir storage levels must be considered to assess short-term frequencies...

  4. 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.

  5. 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

  6. Distributed Theorem Proving for Distributed Hybrid Systems

    E-Print Network [OSTI]

    Platzer, André

    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

  7. Coupling geostatistics to detailed reservoir description allows better visualization and more accurate characterization/simulation of turbidite reservoirs: Elk Hills oil field, California

    SciTech Connect (OSTI)

    Allan, M.E.; Wilson, M.L.; Wightman, J. [Bechtel Petroleum, Elk Hills, CA (United States)

    1996-12-31

    The Elk Hills giant oilfield, located in the southern San Joaquin Valley of California, has produced 1.1 billion barrels of oil from Miocene and shallow Pliocene reservoirs. 65% of the current 64,000 BOPD production is from the pressure-supported, deeper Miocene turbidite sands. In the turbidite sands of the 31 S structure, large porosity & permeability variations in the Main Body B and Western 31 S sands cause problems with the efficiency of the waterflooding. These variations have now been quantified and visualized using geostatistics. The end result is a more detailed reservoir characterization for simulation. Traditional reservoir descriptions based on marker correlations, cross-sections and mapping do not provide enough detail to capture the short-scale stratigraphic heterogeneity needed for adequate reservoir simulation. These deterministic descriptions are inadequate to tie with production data as the thinly bedded sand/shale sequences blur into a falsely homogenous picture. By studying the variability of the geologic & petrophysical data vertically within each wellbore and spatially from well to well, a geostatistical reservoir description has been developed. It captures the natural variability of the sands and shales that was lacking from earlier work. These geostatistical studies allow the geologic and petrophysical characteristics to be considered in a probabilistic model. The end-product is a reservoir description that captures the variability of the reservoir sequences and can be used as a more realistic starting point for history matching and reservoir simulation.

  8. Coupling geostatistics to detailed reservoir description allows better visualization and more accurate characterization/simulation of turbidite reservoirs: Elk Hills oil field, California

    SciTech Connect (OSTI)

    Allan, M.E.; Wilson, M.L.; Wightman, J. (Bechtel Petroleum, Elk Hills, CA (United States))

    1996-01-01

    The Elk Hills giant oilfield, located in the southern San Joaquin Valley of California, has produced 1.1 billion barrels of oil from Miocene and shallow Pliocene reservoirs. 65% of the current 64,000 BOPD production is from the pressure-supported, deeper Miocene turbidite sands. In the turbidite sands of the 31 S structure, large porosity permeability variations in the Main Body B and Western 31 S sands cause problems with the efficiency of the waterflooding. These variations have now been quantified and visualized using geostatistics. The end result is a more detailed reservoir characterization for simulation. Traditional reservoir descriptions based on marker correlations, cross-sections and mapping do not provide enough detail to capture the short-scale stratigraphic heterogeneity needed for adequate reservoir simulation. These deterministic descriptions are inadequate to tie with production data as the thinly bedded sand/shale sequences blur into a falsely homogenous picture. By studying the variability of the geologic petrophysical data vertically within each wellbore and spatially from well to well, a geostatistical reservoir description has been developed. It captures the natural variability of the sands and shales that was lacking from earlier work. These geostatistical studies allow the geologic and petrophysical characteristics to be considered in a probabilistic model. The end-product is a reservoir description that captures the variability of the reservoir sequences and can be used as a more realistic starting point for history matching and reservoir simulation.

  9. 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

  10. 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

  11. 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 ...

  12. 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

  13. 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...

  14. Demand-Supply Optimization with Risk Management for a Multi-Connection Water Reservoir Network

    E-Print Network [OSTI]

    Chatpatanasiri, Ratthachat

    2009-01-01

    In this paper, we propose a framework to solve a demand-supply optimization problem of long-term water resource allocation on a multi-connection reservoir network which, in two aspects, is different to the problem considered in previous works. First, while all previous works consider a problem where each reservoir can transfer water to only one fixed reservoir, we consider a multi-connection network being constructed in Thailand in which each reservoir can transfer water to many reservoirs in one period of time. Second, a demand-supply plan considered here is static, in contrast to a dynamic policy considered in previous works. Moreover, in order to efficiently develop a long-term static plan, a severe loss (a risk) is taken into account, i.e. a risk occurs if the real amount of water stored in each reservoir in each time period is less than what planned by the optimizer. The multi-connection function and the risk make the problem rather complex such that traditional stochastic dynamic programming and determi...

  15. 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

  16. 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 Basin–Decatur 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

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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.

  19. 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...

  20. 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

  1. 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...

  2. Joint stochastic inversion of geophysical data for reservoir parameter estimation Jinsong Chen* and G. Michael Hoversten, Lawrence Berkeley National Laboratory

    E-Print Network [OSTI]

    Chen, Jinsong

    studies, reservoir parameters as well as geophysical attributes at unsampled locations were considered relationships between the reservoir parameters and the geophysical attributes were enforced. Those methods and the geophysical attributes. Unlike conventional inversion, our stochastic inversion of seismic P-wave velocity

  3. 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.

  4. 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.

  5. 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

  6. -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

  7. 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

  8. 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)

  9. 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

  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. 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.

  12. 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.

  13. 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.

  14. Considering Cumulative Effects Under the National Environmental...

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

    Considering Cumulative Effects Under the National Environmental Policy Act Considering Cumulative Effects Under the National Environmental Policy Act This handbook presents the...

  15. 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.

  16. 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

  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. Producing Light Oil from a Frozen Reservoir: Reservoir and Fluid Characterization of Umiat Field, National Petroleum Reserve, Alaska

    SciTech Connect (OSTI)

    Hanks, Catherine

    2012-12-31

    Umiat oil field is a light oil in a shallow, frozen reservoir in the Brooks Range foothills of northern Alaska with estimated oil-in-place of over 1 billion barrels. Umiat field was discovered in the 1940’s but was never considered viable because it is shallow, in the permafrost, and far from any transportation infrastructure. The advent of modern drilling and production techniques has made Umiat and similar fields in northern Alaska attractive exploration and production targets. Since 2008 UAF has been working with Renaissance Alaska Inc. and, more recently, Linc Energy, to develop a more robust reservoir model that can be combined with rock and fluid property data to simulate potential production techniques. This work will be used to by Linc Energy as they prepare to drill up to 5 horizontal wells during the 2012-2013 drilling season. This new work identified three potential reservoir horizons within the Cretaceous Nanushuk Formation: the Upper and Lower Grandstand sands, and the overlying Ninuluk sand, with the Lower Grandstand considered the primary target. Seals are provided by thick interlayered shales. Reserve estimates for the Lower Grandstand alone range from 739 million barrels to 2437 million barrels, with an average of 1527 million bbls. Reservoir simulations predict that cold gas injection from a wagon-wheel pattern of multilateral injectors and producers located on 5 drill sites on the crest of the structure will yield 12-15% recovery, with actual recovery depending upon the injection pressure used, the actual Kv/Kh encountered, and other geologic factors. Key to understanding the flow behavior of the Umiat reservoir is determining the permeability structure of the sands. Sandstones of the Cretaceous Nanushuk Formation consist of mixed shoreface and deltaic sandstones and mudstones. A core-based study of the sedimentary facies of these sands combined with outcrop observations identified six distinct facies associations with distinctive permeability trends. The Lower Grandstand sand consists of two coarsening-upward shoreface sands sequences while the Upper Grandstand consists of a single coarsening-upward shoreface sand. Each of the shoreface sands shows a distinctive permeability profile with high horizontal permeability at the top getting progressively poorer towards the base of the sand. In contrast, deltaic sandstones in the overlying Ninuluk are more permeable at the base of the sands, with decreasing permeability towards the sand top. These trends impart a strong permeability anisotropy to the reservoir and are being incorporated into the reservoir model. These observations also suggest that horizontal wells should target the upper part of the major sands. Natural fractures may superimpose another permeability pattern on the Umiat reservoir that need to be accounted for in both the simulation and in drilling. Examination of legacy core from Umiat field indicate that fractures are present in the subsurface, but don't provide information on their orientation and density. Nearby surface exposures of folds in similar stratigraphy indicate there are at least three possible fracture sets: an early, N/S striking set that may predate folding and two sets possibly related to folding: an EW striking set of extension fractures that are parallel to the fold axes and a set of conjugate shear fractures oriented NE and NW. Analysis of fracture spacing suggests that these natural fractures are fairly widely spaced (25-59 cm depending upon the fracture set), but could provide improved reservoir permeability in horizontal legs drilled perpendicular to the open fracture set. The phase behavior of the Umiat fluid needed to be well understood in order for the reservoir simulation to be accurate. However, only a small amount of Umiat oil was available; this oil was collected in the 1940’s and was severely weathered. The composition of this ‘dead’ Umiat fluid was characterized by gas chromatography. This analysis was then compared to theoretical Umiat composition derived using the Pedersen method with original Umiat

  19. 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...

  20. 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. ...

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

    E-Print Network [OSTI]

    Dalang, Robert C.

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

  2. 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 ...

  3. 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...

  4. 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...

  5. 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...

  6. 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

  7. 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...

  8. 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.

  9. 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...

  10. 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...

  11. 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.

  12. 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...

  13. 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.

  14. 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

  15. 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...

  16. 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...

  17. 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...

  18. 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.

  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.

    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.

  20. 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.

  1. 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.

  2. 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

  3. 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.

  4. 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 – 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 200°C. 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.

  5. 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...

  6. 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....

  7. 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...

  8. Geologic constraints to fluid flow in the Jurassic Arab D reservoir, eastern Saudi Arabia

    SciTech Connect (OSTI)

    Laing, J.E. (Saudi Aramco, Dhahran (Saudi Arabia))

    1991-08-01

    A giant oil field located in eastern Saudi Arabia has produced several billion barrels of 37{degree} API oil from fewer than 100 wells. The Upper Jurassic Arab Formation is the main producing unit, and is made up of a series of upward-shoaling carbonate and anhydrite members. Porous carbonates of the Arab D member make up the principle oil reservoir, and overlying Arab D anhydrite provides the seal. Principal reservoir facies are stromatoporoid-coral and skeletal grainstones. Reservoir drive is currently provided by flank water injection. Despite more than 30 years of flank water injection (1.5 billion bbl) into the northern area of the field, a thick oil column remains in the Arab D reservoir. Geological factors which affect fluid flow in this area are (1) a downdip facies change from permeable skeletal-stromatoporoid limestone to less permeable micritic limestone, (2) vertical permeability barriers resulting from shoaling-upward cycles, (3) a downdip tar mat, (4) dolomite along the flanks in the upper portion of the reservoir, (5) highly permeable intervals within the skeletal-stromatoporoid limestone, and (6) an updip, north to south facies change from predominantly stromatoporoid-coral grainstone to skeletal grainstone. These factors are considered in reservoir modeling, simulation studies, and planning locations for both water injection and producer wells.

  9. 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.

  10. ,"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"...

  11. ,"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...

  12. ,"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...

  13. ,"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...

  14. ,"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...

  15. ,"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...

  16. ,"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"...

  17. ,"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...

  18. ,"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...

  19. ,"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...

  20. ,"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...

  1. ,"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...

  2. ,"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...

  3. ,"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...

  4. ,"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...

  5. ,"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...

  6. ,"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...

  7. ,"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...

  8. ,"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...

  9. ,"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"...

  10. ,"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...

  11. ,"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"...

  12. ,"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...

  13. ,"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...

  14. ,"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...

  15. ,"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...

  16. ,"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...

  17. ,"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...

  18. ,"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...

  19. ,"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...

  20. ,"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...

  1. ,"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...

  2. ,"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...

  3. ,"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...

  4. ,"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"...

  5. ,"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...

  6. ,"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...

  7. ,"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"...

  8. ,"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...

  9. ,"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...

  10. ,"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...

  11. ,"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...

  12. ,"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...

  13. ,"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...

  14. ,"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...

  15. ,"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...

  16. ,"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...

  17. ,"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...

  18. ,"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"...

  19. ,"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"...

  20. ,"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...

  1. ,"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...

  2. ,"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...

  3. ,"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"...

  4. ,"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...

  5. ,"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...

  6. ,"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"...

  7. ,"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...

  8. ,"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"...

  9. ,"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...

  10. ,"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...

  11. ,"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...

  12. ,"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...

  13. ,"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...

  14. ,"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...

  15. ,"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...

  16. ,"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...

  17. ,"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...

  18. ,"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...

  19. ,"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...

  20. ,"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...

  1. ,"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...

  2. ,"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...

  3. ,"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...

  4. ,"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...

  5. 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.

  6. Physical Affordances Considered Harmful !? Eva Hornecker

    E-Print Network [OSTI]

    Physical Affordances Considered Harmful !? Eva Hornecker The Open University Department of Math & Computing Milton Keynes MK76AA, UK eva@ehornecker.de ABSTRACT Frequently physical affordances are considered. This assumption may be overly simplistic ­ because physical objects have a multitude of physical affordances

  7. 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.

  8. SUSTAINABLE RESERVOIR OPERATION: CAN WE GENERATE HYDROPOWER AND PRESERVE ECOSYSTEM VALUES?y

    E-Print Network [OSTI]

    Jager, Henriette I.

    Ridge, TN 37831-6036, USA ABSTRACT Hydroelectric power provides a cheap source of electricity with few requirements. Reservoir optimization schemes used in practice do not seek flow regimes that maximize aquatic ecosystem health. Here, we review optimization studies that considered environmental goals in one of three

  9. ADVANCING REACTIVE TRACER METHODS FOR MONITORING THERMAL DRAWDOWN IN GEOTHERMAL ENHANCED GEOTHERMAL RESERVOIRS

    SciTech Connect (OSTI)

    Mitchell A. Plummer; Carl D. Palmer; Earl D. Mattson; George D. Redden; Laurence C. Hull

    2010-10-01

    Reactive tracers have long been considered a possible means of measuring thermal drawdown in a geothermal system, before significant cooling occurs at the extraction well. Here, we examine the sensitivity of the proposed method to evaluate reservoir cooling and demonstrate that while the sensitivity of the method as generally proposed is low, it may be practical under certain conditions.

  10. 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

  11. 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

  12. 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.

  13. 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.

  14. 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...

  15. 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...

  16. 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, ...

  17. 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 ...

  18. 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

  19. 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...

  20. 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.

  1. 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

  2. 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

  3. 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

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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 ...

  12. Program Generation Considered Easy Invited Talk

    E-Print Network [OSTI]

    Kamin, Sam

    Program Generation Considered Easy Invited Talk Sam Kamin* Computer Science Department University program generators using the simple model of programs as text. The essence of this approach is its lack, in finding a willing audience for program generation among working programmers. Jumbo is a system

  13. TRANSMISSION SYSTEM ADEQUACY EVALUATION CONSIDERING WIND POWER

    E-Print Network [OSTI]

    Saskatchewan, University of

    TRANSMISSION SYSTEM ADEQUACY EVALUATION CONSIDERING WIND POWER Rajesh Karki Jaimin Patel Power to significantly increase renewable power penetration in electrical power systems. Wind power is the most important systems and large grid connected systems. Power generated by wind depends on the availability of the wind

  14. Considering Climate Change in Hydropower Relicensing

    E-Print Network [OSTI]

    Considering Climate Change in Hydropower Relicensing ENVIRONMENTAL AREA RESEARCH PIER Environmental climate change when relicensing hydropower units, stating that there is a lack of scientific information this project, researchers are conducting an environmental study on climate change for the Yuba River

  15. 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.

  16. 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.

  17. 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

  18. 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.

  19. 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.

  20. 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 ...

  1. 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

  2. Considering Air Density in Wind Power Production

    E-Print Network [OSTI]

    Zénó Farkas

    2011-03-11

    In the wind power production calculations the air density is usually considered as constant in time. Using the CIPM-2007 equation for the density of moist air as a function of air temperature, air pressure and relative humidity, we show that it is worth taking the variation of the air density into account, because higher accuracy can be obtained in the calculation of the power production for little effort.

  3. Considering Air Density in Wind Power Production

    E-Print Network [OSTI]

    Farkas, Zénó

    2011-01-01

    In the wind power production calculations the air density is usually considered as constant in time. Using the CIPM-2007 equation for the density of moist air as a function of air temperature, air pressure and relative humidity, we show that it is worth taking the variation of the air density into account, because higher accuracy can be obtained in the calculation of the power production for little effort.

  4. Alternative energy must consider water needs 

    E-Print Network [OSTI]

    Wythe, Kathy

    2009-01-01

    -powered flying cars like the old TV cartoon The Jetsons, research is producing new ways to fuel our cars and to use ?new? water. Even these innovations, however, must consider the energy-water connection. Hybrid and fully electric cars are getting favor... electricity consumes roughly two times more water than gasoline, and more than eight times more water is withdrawn to produce the electricity. The researchers note these concerns do not necessarily mean electric cars are undesirable. ?It just means...

  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. 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.

  7. 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.

  8. Potential hazards of compressed air energy storage in depleted natural gas reservoirs.

    SciTech Connect (OSTI)

    Cooper, Paul W.; Grubelich, Mark Charles; Bauer, Stephen J.

    2011-09-01

    This report is a preliminary assessment of the ignition and explosion potential in a depleted hydrocarbon reservoir from air cycling associated with compressed air energy storage (CAES) in geologic media. The study identifies issues associated with this phenomenon as well as possible mitigating measures that should be considered. Compressed air energy storage (CAES) in geologic media has been proposed to help supplement renewable energy sources (e.g., wind and solar) by providing a means to store energy when excess energy is available, and to provide an energy source during non-productive or low productivity renewable energy time periods. Presently, salt caverns represent the only proven underground storage used for CAES. Depleted natural gas reservoirs represent another potential underground storage vessel for CAES because they have demonstrated their container function and may have the requisite porosity and permeability; however reservoirs have yet to be demonstrated as a functional/operational storage media for compressed air. Specifically, air introduced into a depleted natural gas reservoir presents a situation where an ignition and explosion potential may exist. This report presents the results of an initial study identifying issues associated with this phenomena as well as possible mitigating measures that should be considered.

  9. Sustainable Sediment Management of ine oirs considering ecological and economical aspects

    E-Print Network [OSTI]

    Cirpka, Olaf Arie

    management in alpine reservoirs. The partnership consists of State Authorities, hydro power companies

  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. Scale-up in Poroelastic System and Applications to Reservoirs

    SciTech Connect (OSTI)

    Berryman, J G

    2003-07-01

    A fundamental problem of heterogeneous systems is that the macroscale behavior is not necessarily well-described by equations familiar to us at the meso- or microscale. In relatively simple cases like electrical conduction and elasticity, it is hue that the equations describing macroscale behavior take the same form as those at the microscale. But in more complex systems, these simple results do not hold. Consider fluid flow in porous media where the microscale behavior is well-described by Navier-Stokes' equations for liquid in the pores while the macroscale behavior instead obeys Darcy's equation. Rigorous methods for establishing the form of such equations for macroscale behavior include multiscale homogenization methods and also the volume averaging method. In addition, it has been shown that Biot's equations of poroelasticity follow in a scale-up of the microscale equations of elasticity coupled to Navier-Stokes. Laboratory measurements have shown that Biot's equations indeed hold for simple systems but heterogeneous systems can have quite different behavior. So the question arises whether there is yet another level of scale-up needed to arrive at equations valid for the reservoir scale? And if so, do these equations take the form of Biot's equations or some other form? We will discuss these issues and show that the double-porosity equations play a special role in the scale-up to equations describing reservoir behavior, for fluid pumping, geomechanics, as well as seismic wave propagation.

  14. 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.

  15. ,"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

  16. 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

  17. 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+

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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+

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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...

  11. 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.

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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 ...

  17. 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 ...

  18. 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...

  19. 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...

  20. 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.

  1. Advancing New 3D Seismic Interpretation Methods for Exploration and Development of Fractured Tight Gas Reservoirs

    SciTech Connect (OSTI)

    James Reeves

    2005-01-31

    In a study funded by the U.S. Department of Energy and GeoSpectrum, Inc., new P-wave 3D seismic interpretation methods to characterize fractured gas reservoirs are developed. A data driven exploratory approach is used to determine empirical relationships for reservoir properties. Fractures are predicted using seismic lineament mapping through a series of horizon and time slices in the reservoir zone. A seismic lineament is a linear feature seen in a slice through the seismic volume that has negligible vertical offset. We interpret that in regions of high seismic lineament density there is a greater likelihood of fractured reservoir. Seismic AVO attributes are developed to map brittle reservoir rock (low clay) and gas content. Brittle rocks are interpreted to be more fractured when seismic lineaments are present. The most important attribute developed in this study is the gas sensitive phase gradient (a new AVO attribute), as reservoir fractures may provide a plumbing system for both water and gas. Success is obtained when economic gas and oil discoveries are found. In a gas field previously plagued with poor drilling results, four new wells were spotted using the new methodology and recently drilled. The wells have estimated best of 12-months production indicators of 2106, 1652, 941, and 227 MCFGPD. The latter well was drilled in a region of swarming seismic lineaments but has poor gas sensitive phase gradient (AVO) and clay volume attributes. GeoSpectrum advised the unit operators that this location did not appear to have significant Lower Dakota gas before the well was drilled. The other three wells are considered good wells in this part of the basin and among the best wells in the area. These new drilling results have nearly doubled the gas production and the value of the field. The interpretation method is ready for commercialization and gas exploration and development. The new technology is adaptable to conventional lower cost 3D seismic surveys.

  2. Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

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

    Buscheck, Thomas A.

    The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal energy production. Phase 1 includes reservoir analyses to determine injector/producer well schemes that balance the generation of economically useful flow rates at the producers with the need to manage reservoir overpressure to reduce the risks associated with overpressure, such as induced seismicity and CO2 leakage to overlying aquifers. Based on a range of well schemes, techno-economic analyses of the levelized cost of electricity (LCOE) are conducted to determine the economic benefits of integrating GCS with geothermal energy production. In addition to considering CO2 injection, reservoir analyses are conducted for nitrogen (N2) injection to investigate the potential benefits of incorporating N2 injection with integrated geothermal-GCS, as well as the use of N2 injection as a potential pressure-support and working-fluid option. Phase 1 includes preliminary environmental risk assessments of integrated geothermal-GCS, with the focus on managing reservoir overpressure. Phase 1 also includes an economic survey of pipeline costs, which will be applied in Phase 2 to the analysis of CO2 conveyance costs for techno-economics analyses of integrated geothermal-GCS reservoir sites. Phase 1 also includes a geospatial GIS survey of potential integrated geothermal-GCS reservoir sites, which will be used in Phase 2 to conduct sweet-spot analyses that determine where promising geothermal resources are co-located in sedimentary settings conducive to safe CO2 storage, as well as being in adequate proximity to large stationary CO2 sources.

  3. Active Management of Integrated Geothermal-CO2 Storage Reservoirs in Sedimentary Formations

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

    Buscheck, Thomas A.

    2012-01-01

    The purpose of phase 1 is to determine the feasibility of integrating geologic CO2 storage (GCS) with geothermal energy production. Phase 1 includes reservoir analyses to determine injector/producer well schemes that balance the generation of economically useful flow rates at the producers with the need to manage reservoir overpressure to reduce the risks associated with overpressure, such as induced seismicity and CO2 leakage to overlying aquifers. Based on a range of well schemes, techno-economic analyses of the levelized cost of electricity (LCOE) are conducted to determine the economic benefits of integrating GCS with geothermal energy production. In addition to considering CO2 injection, reservoir analyses are conducted for nitrogen (N2) injection to investigate the potential benefits of incorporating N2 injection with integrated geothermal-GCS, as well as the use of N2 injection as a potential pressure-support and working-fluid option. Phase 1 includes preliminary environmental risk assessments of integrated geothermal-GCS, with the focus on managing reservoir overpressure. Phase 1 also includes an economic survey of pipeline costs, which will be applied in Phase 2 to the analysis of CO2 conveyance costs for techno-economics analyses of integrated geothermal-GCS reservoir sites. Phase 1 also includes a geospatial GIS survey of potential integrated geothermal-GCS reservoir sites, which will be used in Phase 2 to conduct sweet-spot analyses that determine where promising geothermal resources are co-located in sedimentary settings conducive to safe CO2 storage, as well as being in adequate proximity to large stationary CO2 sources.

  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.

    1989-01-01

    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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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

  10. 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.

  11. 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

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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.

  4. 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...

  5. 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...

  6. 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

  7. 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.

  8. 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.

  9. 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...

  10. 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.

  11. 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

  12. The effect of cross flow in a stratified reservoir during a water flood 

    E-Print Network [OSTI]

    Sommers, Gordon Edmund

    1970-01-01

    of the displacement of oil by water in a porous medium. In most conventional engineer- ing methods used to predict the reservoir performance of a water- flood, crossflow between beds of different permeability is neglected, This study was concerned... in a water flood. Conventional engineering methods assuming no crossflow and the numerical model solution were in agreement when the effects of vertical communication were neglected. However, when vertical communication was considered, model...

  13. 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.

  14. Study on detailed geological modelling for fluvial sandstone reservoir in Daqing oil field

    SciTech Connect (OSTI)

    Zhao Hanqing; Fu Zhiguo; Lu Xiaoguang

    1997-08-01

    Guided by the sedimentation theory and knowledge of modern and ancient fluvial deposition and utilizing the abundant information of sedimentary series, microfacies type and petrophysical parameters from well logging curves of close spaced thousands of wells located in a large area. A new method for establishing detailed sedimentation and permeability distribution models for fluvial reservoirs have been developed successfully. This study aimed at the geometry and internal architecture of sandbodies, in accordance to their hierarchical levels of heterogeneity and building up sedimentation and permeability distribution models of fluvial reservoirs, describing the reservoir heterogeneity on the light of the river sedimentary rules. The results and methods obtained in outcrop and modem sedimentation studies have successfully supported the study. Taking advantage of this method, the major producing layers (PI{sub 1-2}), which have been considered as heterogeneous and thick fluvial reservoirs extending widely in lateral are researched in detail. These layers are subdivided into single sedimentary units vertically and the microfacies are identified horizontally. Furthermore, a complex system is recognized according to their hierarchical levels from large to small, meander belt, single channel sandbody, meander scroll, point bar, and lateral accretion bodies of point bar. The achieved results improved the description of areal distribution of point bar sandbodies, provide an accurate and detailed framework model for establishing high resolution predicting model. By using geostatistic technique, it also plays an important role in searching for enriched zone of residual oil distribution.

  15. 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.

  16. 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.

  17. 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.

  18. 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...

  19. 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.

  20. 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

  1. 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.

  2. 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.

  3. 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.

  4. Dworshak Reservoir Kokanee Population Monitoring, Annual Report 2001.

    SciTech Connect (OSTI)

    Maiolie, Melo; Stark, Eric

    2003-03-01

    Onsite testing of strobe lights was conducted to determine if they repelled kokanee Oncorhynchus nerka away from the turbine intakes at Dworshak Dam. We tested a set of nine strobe lights flashing at a rate of 360 flashes/min placed near the intake of a 90 mW turbine. A split-beam echo sounder was used to determine the effect of strobe light operation on fish density (thought to be mostly kokanee) in front of the turbine intakes. On five nights between December 2001 and January 2002, fish density averaged 110 fish/ha when no lights were flashing. Mean density dropped to 13 fish/ha when the strobe lights were turned on during five additional nights of sampling. This 88% decline in density was significant at the P = 0.009 level of significance based on a paired Student's t test. There appeared to be no tendency for fish to habituate to the lights during the night. Test results indicate that a single set of nine lights may be sufficient to repel kokanee from a turbine intake during the night. We also used split-beam hydroacoustics to monitor the kokanee population in Dworshak Reservoir during 2001. Estimated abundance of kokanee has continued to increase since the spring of 1996 when high entrainment losses occurred. Based on hydroacoustic surveys, we estimated 3,276,000 kokanee in Dworshak Reservoir in early July 2001. This included 2,069,000 age-0 kokanee (90% CI {+-} 16.4%), 801,000 age-1 kokanee (90% CI {+-} 17.8%), and 406,000 age-2 kokanee (90% CI {+-} 20.5%). Entrainment sampling was also conducted with split-beam hydroacoustics a minimum of one continuous 24 h period per month. The highest entrainment rates occurred at night with lower discharges and shallower intake depths. Fish movement patterns suggested that they swam 'at will' in front of the intakes and may have chosen to move into the turbine intakes. Based on monthly hydroacoustic sampling in the forebay, we found that kokanee density was low in July and August during a period of high discharge. However, kokanee density was high in late winter when discharge was also high, thus increasing the likelihood of entrainment. Counts of spawning kokanee in four tributary streams used as an index reached 6,079 fish. This spawner count appeared unusually low considering the high population estimate of kokanee in the reservoir and data collected in previous years.

  5. RESERVOIR CHARACTERIZATION OF UPPER DEVONIAN GORDON SANDSTONE, JACKSONBURG STRINGTOWN OIL FIELD, NORTHWESTERN WEST VIRGINIA

    SciTech Connect (OSTI)

    S. Ameri; K. Aminian; K.L. Avary; H.I. Bilgesu; M.E. Hohn; R.R. McDowell; D.L. Matchen

    2001-07-01

    The Jacksonburg-Stringtown oil field contained an estimated 88,500,000 barrels of oil in place, of which approximately 20,000,000 barrels were produced during primary recovery operations. A gas injection project, initiated in 1934, and a pilot waterflood, begun in 1981, yielded additional production from limited portions of the field. The pilot was successful enough to warrant development of a full-scale waterflood in 1990, involving approximately 8,900 acres in three units, with a target of 1,500 barrels of oil per acre recovery. Historical patterns of drilling and development within the field suggests that the Gordon reservoir is heterogeneous, and that detailed reservoir characterization is necessary for understanding well performance and addressing problems observed by the operators. The purpose of this work is to establish relationships among permeability, geophysical and other data by integrating geologic, geophysical and engineering data into an interdisciplinary quantification of reservoir heterogeneity as it relates to production. Conventional stratigraphic correlation and core description shows that the Gordon sandstone is composed of three parasequences, formed along the Late Devonian shoreline of the Appalachian Basin. The parasequences comprise five lithofacies, of which one includes reservoir sandstones. Pay sandstones were found to have permeabilities in core ranging from 10 to 200 mD, whereas non-pay sandstones have permeabilities ranging from below the level of instrumental detection to 5 mD; Conglomeratic zones could take on the permeability characteristics of enclosing materials, or could exhibit extremely low values in pay sandstone and high values in non-pay or low permeability pay sandstone. Four electrofacies based on a linear combination of density and scaled gamma ray best matched correlations made independently based on visual comparison of geophysical logs. Electrofacies 4 with relatively high permeability (mean value > 45 mD) was determined to be equivalent to the pay sandstone within the Gordon reservoir. Three-dimensional models of the electrofacies in the pilot waterflood showed that electrofacies 4 is present throughout this area, and the other electrofacies are more disconnected. A three-layer, back-propagation artificial neural network with three slabs in the middle layer can be used to predict permeability and porosity from gamma ray and bulk density logs, the first and the second derivatives of the log data with respect to depth, well location, and log baselines. Two flow units were defined based on the stratigraphic model and geophysical logs. A three-dimensional reservoir model including the flow units, values of permeability calculated through the artificial neural network and injection pressure-rate information were then used as inputs for a reservoir simulator to predict oil production performance for the center producers in the pilot area. This description of the reservoir provided significantly better simulation results than earlier results obtained using simple reservoir models. Bulk density and gamma ray logs were used to identify flow units throughout the field. As predicted by the stratigraphic analysis, one of the flow units crosses stratigraphic units in the reservoir. A neural network was used to predict permeability values for each flow unit in producer and injection wells. The reservoir simulator was utilized to predict the performance of two flood patterns located to the north of the pilot area. Considering the simple model utilized for simulation, the results are in very good agreement with the field history.

  6. 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.

  7. 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.

  8. 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 Basin–Decatur Project being conducted by the Midwest Geological Sequestration Consortium in Macon County, Illinois, as well as data from the Illinois – 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

  9. 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)

  10. 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

  11. 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

  12. 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

  13. 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)

  14. 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

  15. 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)

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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)

  5. 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)

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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+

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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+

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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,

  15. 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)

  16. 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 +

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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,

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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+

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Alaska 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 2,570Month Previous Year(Million633 6222009

  9. Arkansas 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 2,570MonthThousand8 0.8 0.8 0.622 28 21 10

  10. Arkansas 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 2,570MonthThousand8 0.8 0.8 0.622 28 21 109

  11. Arkansas 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 2,570MonthThousand8 2 2 2 1 2 1979-2014

  12. Arkansas 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 2,570MonthThousand8DecadeYearSeparation

  13. Arkansas 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 2,724per Thousand Cubic Feet) Decade1 0 112009

  14. CA, Coastal Region Onshore Associated-Dissolved Natural Gas 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-0ProvedDecade2,948 2,724per ThousandLease0 0 20 0Cubic L1993

  15. CA, Coastal Region Onshore Coalbed Methane Proved Reserves, 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 0Cubic L1993Changes,

  16. CA, Coastal Region Onshore 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 ThousandLease0 0 20 0Cubic163 173 165 290

  17. CA, Coastal Region Onshore Lease Condensate Proved Reserves, Reserve

    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 173 165

  18. CA, Coastal Region Onshore Nonassociated Natural Gas Proved Reserves, Wet

    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 173

  19. CA, Los Angeles Basin Onshore Coalbed Methane Proved Reserves, 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

  20. CA, Los Angeles Basin Onshore 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 ThousandLease0 0 20

  1. CA, Los Angeles Basin Onshore Lease Condensate Proved Reserves, Reserve

    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 20Changes, and

  2. CA, Los Angeles Basin Onshore Nonassociated 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 ThousandLease0 0 20Changes, and91 92

  3. CA, Los Angeles Basin 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 20Changes, and91 9229 66

  4. CA, San Joaquin Basin Onshore Coalbed Methane Proved Reserves, 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 20Changes, and91

  5. CA, San Joaquin Basin Onshore 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 ThousandLease0 0 20Changes,2,469 2,321

  6. CA, San Joaquin Basin Onshore Lease Condensate Proved Reserves, Reserve

    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 20Changes,2,469

  7. CA, San Joaquin Basin Onshore Nonassociated 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 ThousandLease0 0 20Changes,2,4692,609Wet

  8. CA, San Joaquin Basin 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

  9. CA, State Offshore Coalbed Methane Proved Reserves, Reserves Changes, and

    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 0and

  10. CA, State Offshore 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 2,724per ThousandLease0 0and164 167 200 198 211

  11. CA, State Offshore 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 ThousandLease0 0and164 167 200 198 21157

  12. CA, State Offshore Lease Condensate Proved Reserves, Reserve Changes, and

    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 167 200 198

  13. CA, State Offshore Nonassociated Natural Gas Proved Reserves, Wet After

    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 19857

  14. California - Coastal Region Onshore Natural Gas Plant Liquids, 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-0ProvedDecade2,948 2,724per ThousandLease0Year Jan Feb Mar

  15. California - Los Angeles Basin Onshore Natural Gas Plant Liquids, 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-0ProvedDecade2,948 2,724per ThousandLease0Year Jan Feb MarReserves

  16. California - San Joaquin Basin Onshore Natural Gas Plant Liquids, 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-0ProvedDecade2,948 2,724per ThousandLease0Year Jan Feb

  17. California Associated-Dissolved Natural Gas Proved Reserves, Wet After

    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 FebLease

  18. California Coalbed Methane Proved Reserves, Reserves Changes, and

    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

  19. California 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 2,724per ThousandLease0Year Jan,835 2,939 3,009

  20. California Federal Offshore Natural Gas Plant 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)Decade Year-0ProvedDecade2,948 2,724perSales (Billion Cubic Feet) California

  1. California Lease Condensate Proved Reserves, Reserve Changes, and

    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 2,724perSales (Billion Cubic Feet)Production 0

  2. California 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 2,724perSalesFuelMay-15Feet)

  3. California 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-0ProvedDecade2,948California (Million Cubic Feet)per272 522 2011

  4. California State Offshore Natural Gas Plant 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)Decade Year-0ProvedDecade2,948California (Million Cubic Feet)per272

  5. Colorado 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-0ProvedDecade2,948CaliforniaFeet) (Million,914 1,886 1,7637,348

  6. Colorado 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-0ProvedDecade2,948CaliforniaFeet) (Million,914 1,886

  7. Colorado 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-0ProvedDecade2,948CaliforniaFeet)Extensions2009 2010 201197 115

  8. Federal Offshore, Gulf of Mexico, Louisiana & Alabama Proved Nonproducing

    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 Proved Reserves, Wet

  9. Federal Offshore, Gulf of Mexico, Texas Coalbed Methane 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 Proved Reserves,

  10. Federal Offshore, Gulf of Mexico, Texas 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 Proved

  11. Federal Offshore, Gulf of Mexico, Texas Nonassociated Natural Gas 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)DecadeYear Jan Feb Mar Apr May Jun20032,485,331Gas ProvedDec. 31 ,451

  12. Federal Offshore, Gulf of Mexico, Texas 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. 31 ,451125 102

  13. Federal Offshore, Pacific (California) Coalbed Methane 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. 31

  14. Federal Offshore, Pacific (California) Nonassociated Natural Gas 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)DecadeYear Jan Feb Mar Apr May Jun20032,485,331Gas ProvedDec.

  15. Florida 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 Mar Apr MayYear Jan Feb Mar Apr May Jun JulProved Reserves

  16. Kansas 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 Mar Apr MayYearYearDecadeFuel Consumption (MillionCubicProved

  17. Kansas 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)DecadeYear Jan Feb Mar Apr 2012 2013 2014 View History Proved Reserves as of Dec.

  18. Kentucky 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 Mar Apr 2012 2013 2014 ViewSalesFeet)Fuel(MillionProved

  19. Montana 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 Mar Apr 2012DecadeTotal19FuelYear5)YearFuelCubicCubicProved

  20. Dry Natural Gas 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) Wyoming Dry NaturalPrices1 Table272/S The NationalData Series: Proved Reserves