Geostatistical Population-Mixture Approach to Unconventional-Resource Assessment With an Application to the Woodford Gas Shale, Arkoma Basin, Eastern Oklahoma
- Ricardo A. Olea (U.S. Geological Survey) | Ronald R. Charpentier (U.S. Geological Survey) | Troy A. Cook (U.S. Geological Survey) | David W. Houseknecht (U.S. Geological Survey) | Christopher P. Garrity (U.S. Geological Survey)
- Document ID
- Society of Petroleum Engineers
- SPE Reservoir Evaluation & Engineering
- Publication Date
- October 2012
- Document Type
- Journal Paper
- 554 - 562
- 2012. Society of Petroleum Engineers
- 5.1.5 Geologic Modeling, 5.8.2 Shale Gas
- 3 in the last 30 days
- 700 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 12.00|
|SPE Non-Member Price:||USD 35.00|
Evaluation of resources such as tight sands and gas shales requires the formulation of assessment models that are different from those used for the inference of conventional resources. Formulations in present use are based in classical statistics that ignore the partly organized and partly random geographical variation of attributes related to the occurrence of hydrocarbons. This paper is the third in a series of methodological tests aimed at enhancing the assessment of unconventional resources through more-effective use of implicit and explicit information contained in the data, more-accurate evaluation of resources, and more-informative display of results. Reprocessing of estimated-ultimate-recovery (EUR) data at the Woodford gas shale in Oklahoma shows that subdivision of the play into areas as homogeneous as possible can produce results comparable to those obtained using several variables correlated to local productivity.
|File Size||981 KB||Number of Pages||9|
Aspinall, W. 2010. A route to more tractable expert advice. Nature 463 (7279): 294-295. http://dx.doi.org/10.1038/463294a.10.1038/463294a.
Caers, J. 2005. Petroleum Geostatistics. Richardson, Texas: Societyof Petroleum Engineers.
Caers, J. 2011. Modeling Uncertainty in the Earth Sciences.Chichester, UK: John Wiley & Sons.
Cardott, B.J. 2008. Overview of Woodford Gas-Shale Play in Oklahoma, 2008Update. Presented at the Oklahoma Gas Shales Conference, Oklahoma City,Oklahoma, USA, 22 October.
Cook, T. 2005. Calculation of Estimated Ultimate Recovery (EUR) for Wells inContinuous-Type Oil and Gas Accumulations of the Uinta-Piceance Province. InPetroleum Systems and Geological Assessment of Oil and Gas in theUinta-Piceance Province, Utah and Colorado, USGS Uinta-Pinceance AssessmentTeam, Version 1, Chap. 23. Denver, Colorado: Digital Data Series DDS 069-D,USGS. http://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_23.pdf(10 May 2005).
Crovelli, R.A. 2000. Analytic resource assessment method for continuous(unconventional) oil and gas accumulation?the ACCESS method. Open-File Report00-044, US Geological Survey, Denver, Colorado
Deutsch, C.V. 2002. Geostatistical Reservoir Modeling. New York:Applied Geostatistics Series, Oxford University Press.
Gelfand, A.E., Diggle, P., Guttorp, P. et al. ed. 2010. Handbook ofSpatial Statistics. Boca Raton, Florida: Chapman & Hall/CRC Handbooksof Modern Statistical Methods, CRC Press.
Houseknecht, D.W., Coleman, J.L., Milici, R.C. et al. 2010. Assessment ofUndiscovered Natural Gas Resources of the Arkoma Basin Province andGeologically Related Areas. Fact Sheet 2010-3043, National Oil and GasAssessment Project, US Geological Survey, Reston, Virginia (June 2012), http://pubs.usgs.gov/fs/2010/3043/pdf/FS10-3043.pdf.
Huysmans, M. and Dassargues, A. 2011. Direct Multiple-Point GeostatisticalSimulation of Edge Properties for Modeling Thin Irregularly Shaped Surfaces.Math. Geosci. 43 (5): 521-536. http://dx.doi.org/10.1007/s11004-011-9336-7.
Klett, T.R. and Schmoker, J.W. 2005. U.S. Geological Survey Input-Data Formand Operational Procedure for the Assessment of Continuous PetroleumAccumulations, 2002. In Petroleum Systems and Geologic Assessment of Oil andGas in the Southwestern Wyoming Province, Wyoming, Colorado, and Utah,Version 1, Chap. 18. Denver, Colorado: Digital Data Series DDS-69-D, USGeological Survey. http://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_18.pdf.
Kok, J.C.L., Moon, B., Shim, Y.H. et al. 2010. The Significance of AccurateWell Placement in the Shale Gas Plays. Presented at the Tight Gas CompletionsConference, San Antonio, Texas, USA, 2-3 November. SPE-138438-MS. http://dx.doi.org/10.2118/138438-MS.
Madriz, D.D. 2009. Stochastic Characterization of Carbonate BuildupArchitectures, Using Two- and Multiple-Point Statistics, and StatisticalEvaluation of These Methods. MS Eng thesis, The University of Texas atAustin, Austin, Texas (May 2009).
Mariethoz, G. and Kelly, B.F.J. 2011. Modeling complex geological structureswith elementary training images and transform-invariant distances. WaterResour. Res. 47 (7): W07527. http://dx.doi.org/10.1029/2011wr010412.
Meyer, M.A. and Booker, J.M. 2001. Eliciting and Analyzing ExpertJudgment: A Practical Guide. Philadelphia, Pennsylvania: ASA-SIAM Series onStatistics and Applied Probability, SIAM.
Oklahoma Geological Survey. 2010. Oil and Gas (gas shales database), http://www.ogs.ou.edu/level3-oilgas.php(accessed December 2011).
Olea, R.A. 2009. A Practical Primer on Geostatistics. USGS Open- File Report2009-1103, US Geological Survey, Denver, Colorado (6 June 2009), http://pubs.usgs.gov/of/2009/1103/(accessed December 2011).
Olea, R., Cook, T., and Coleman, J. 2010. A Methodology for the Assessmentof Unconventional (Continuous) Resources with an Application to the GreaterNatural Buttes Gas Field, Utah. Nat. Resour. Res. 19 (4):237-251. http://dx.doi.org/10.1007/s11053-010-9127-8.
Olea, R.A., Houseknecht, D.W., Garrity, C.P. et al. 2011. Formulation of acorrelated variables methodology for assessment of continuous gas resourceswith an application to the Woodford play, Arkoma Basin, eastern Oklahoma.Bol. Geol. Min. 122 (4): 483-496.
Olea, R.A. and Luppens, J.A. In press. Geostatistical assessment of amultilayered coal deposit in Louisiana. Nat. Resour. Res. (submitted2012).
Remy, N., Boucher, A., and Wu, J. 2009. Applied Geostatistics with SGeMS:A User's Guide. Cambridge, UK: Cambridge University Press.
Schmoker, J.W. 1995. Method for assessing continuous type (unconventional)hydrocarbon accumulations. In 1995 National Assessment of United States Oiland Gas Resources: Results, Methodology, and Supporting Data, CD-ROM, ed.D.L. Gautier, G.L. Dolton, K.I. Takahashi, and K.L. Varnes, DDS-30. Denver,Colorado: Digital Data Series, US Geological Survey. http://pubs.usgs.gov/dds/dds-030/.
Schmoker, J.W. 1999. U.S. Geological Survey Assessment Model for Continuous(Unconventional) Oil and Gas Accumulations--The "FORSPAN" Model. USGS Bulletin2168, Version 1.0, US Geological Survey, Denver, Colorado (19 July 1999), http://pubs.usgs.gov/bul/b2168/ (accessed December 2011).
Strebelle, S. 2002. Conditional Simulation of Complex Geological StructuresUsing Multiple-Point Statistics. Math. Geol. 34 (1): 1-22.http://dx.doi.org/10.1023/A:1014009426274.
Yarus, J.M. and Chambers, R.L. 2006. Practical Geostatistics--An ArmchairOverview for Petroleum Reservoir Engineers. J Pet Technol 58 (1): 78-88. SPE-103357-PA. http://dx.doi.org/10.2118/103357-MS.
Zanon, S. and Leuangthong, O. 2005. Implementation aspects of sequentialsimulation. In Geostatistics Banff 2004, ed. O. Leuangthong and C.V.Deutsch, Vol. 1, 543-548. Dordrecht, The Netherlands: Quantitative Geology andGeostatistics, Springer.