Multivariate fracture intensity prediction: Application to Oil Mountain anticline, Wyoming

AAPG Bulletin

Volumn 93, Issue 11, 2009, Pages 1585-1595

  McLennan, Jason A ^a   Allwardt, Patricia F ^a   Hennings, Peter H ^a   Farrell, Helen E ^a  

^a Phillips Research Center 224GB   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; GEOMETRY;

FRACTURE GEOMETRIES; FRACTURED RESERVOIR; GEOLOGICAL COMPLEXITY; GEOMETRIC CHARACTERISTICS; INFLUENCE PREDICTIONS; INTENSITY PREDICTION; PRODUCTION FORECASTING; RESERVOIR DEVELOPMENT;

FRACTURE;

ANTICLINE; FORECASTING METHOD; FRACTURE GEOMETRY; FRACTURE PROPAGATION; HYDRAULICS; OIL PRODUCTION; OUTCROP; RESERVOIR CHARACTERIZATION;

EID: 73449116732     PISSN: 01491423     EISSN: None     Source Type: Journal    
DOI: 10.1306/07220909081     Document Type: Article

References (39)

1. Barr, D., K. E. Savory, S. E. Fowler, K. Arman, and J. P. McGarrity, 2007, Pre-development fracture modeling in the Clair field, west of Shedand, in L. Lonergan, R. J. H. Jolly, K. Rawnsley, and D. J. Sanderson, eds., Fractured reservoirs: Geological Society (London) Special Publication 270, p. 205-225.
2. Barton, C. A., M. D. Zoback, and D. Moos, 1995, Fluid flow along potentially active faults in crystalline rock: Geology, v. 23, p. 683-686, doi:10.1130/0091-7613(1995)023<0683:FFA- PAF>2.3.CO;2.
3. Bourne, S. J., and E. J. Willemse, 2001, Elastic stress control on the pattern of tensile fracturing around a small fault network at Nash Point, United Kingdom: Journal of Structural Geology, v. 23, p. 1753-1770, doi:10.1016/S0191-8141(01)00027-X. (Pubitemid 32863544)
4. Csema, E. G., G. J. Kerns, and W. H. Laraway, 1983, Bedrock geologic map of the Pine Mountain-Oil Mountain area, Natrona County, Wyoming: U.S. Geological Survey Open-File Report 83-748, scale 1:31, 680, 1 sheet.
5. Decker, A. D., J. C. Close, and R. A. McBane, 1989, The use of remote sensing, curvature analysis, and coal petrology as indicators of higher coal reservoir permeability: International Coalbed Methane Symposium Proceedings, p. 325-340.
6. Deutsch, C. V., 2006, What in the reservoir is geostatistics good for?: Journal of Canadian Petroleum Technology, v. 45, no. 4, p. 14- 20.
7. Deutsch, C. V., and A. G. Journel, 1998, GSLIB-Geostatistical Software Library and user guide, 2d ed.: New York, Oxford University Press, 384 p.
8. Deutsch, C. V., and S. D. Zanon, 2004, Direct prediction of reservoir performance with Bayesian updating under a multivariate Gaussian model: Canadian International Petroleum Conference, Paper No. 047, 16 p.
9. Deutsch, C. V., W. Ren, and O. Leuangthong, 2005, Joint uncertainty assessment with a combined Bayesian updating/Lu/P- field approach: International Association for Mathematical Geology, v. 01, p. 639-644.
10. Doyen, P. M., L. D. Den Boer, and W. R. Pilley, 1996, Seismic porosity mapping in the Ekofisk field using a new form of collocated cokriging: Society of Petroleum Engineers Paper No. 36498, 30 p.
11. Endres, H., T. Lohr, H. Trappe, R. Samiee, P. O. Thierer, C. M. Krawczyk, D. C. Tanner, O. Oncken, and P. A. Kukla, 2008, Quantitative fracture prediction from seismic data: Petroleum Geoscience, v. 14, p. 369-377, doi:10.1144/1354-079308-751.
12. Ericsson, J. B., H. C. McKean, and R. J. Hooper, 1998, Facies and curvature controlled 3-D fracture models in a Cretaceous carbonate reservoir, Arabian Gulf, in G. Jones, Q. J. Fisher, and R. J. Knipe, eds., Faulting, fault sealing, and fluid flow in hydrocarbon reservoirs: Geological Society (London) Special Publication 147, p. 299-312.
13. Fischer, M. P., and M. S. Wilkerson, 2000, Predicting the orientation of joints from fold shape: Results of pseudo-three-dimensional modeling and curvature analysis: Geology, v. 28, p. 15-18, doi: 10.1130/0091 -7613(2000)28<15:PTOOJF>2.0.CO;2.
14. Gale, J. E., 1982, Assessing the permeability characteristics of fractured rock, in T. N. Narasimhan, ed., Recent trends in hydrogeology: Geological Society of America Special Paper 189, p. 163-181.
15. Gale, J. F. W., R. M. Reed, and J. Holder, 2007, Natural fractures in the Barnett Shale and their importance for hydraulic fracture treatments: AAPG Bulletin, v. 91, no. 4, p. 603-622, doi: 10 .1306/11010606061.
16. Grandi, S., S. Yuh, M. Willis, and N. Toksoz, 2006, Fracture characterization from scattered energy: A case study: Proceedings of the Society of Exploration Geophysicists 74th Annual International Meeting, p. 1732-1736.
17. Haller, D., and F. Porturas, 1998, How to characterize fractures in reservoirs using borehole and core images: Case studies, in P. K. Harvey and M. A. Lovell, eds., Core-log integration: Geological Society of America Special Publication 136, p. 249-259.
18. Healy, D., G. Yielding, and N. Kusznir, 2004, Fracture prediction for the 1980 El Asnam, Algeria reservoir using elastic dislocation modeling: Tectonics, v. 23, p. TC6005.
19. Hennings, P. H., J. E. Olson, and L. B. Thompson, 2000, Combining outcrop data and three-dimensional models to characterize fractured reservoirs: An example from Wyoming: AAPG Bulletin, v. 84, no. 6, p. 830-849.
20. Hodges, J. L., and E. L. Lehmann, 2004, Basic concepts of probability and statistics: New York, Society for Industrial and Applied Mathematics, 439 p.
21. Howson, C, and P. Urbach, 1993, Scientific reasoning: The Bayesian approach: Chicago, Open Court, 459 p.
22. Journel, A. G., and C. J. Huijbregts, 1978, Mining geostatistics: New York, Academic Press, 597 p.
23. Kattenhorn, S. A., A. Aydin, and D. P. Pollard, 2000, Joints at high angles to normal fault strike: An explanation using 3-D numerical models of fault-perturbed stress fields: Journal of Structural Geology, v. 22, p. 1 -23, doi: 10.1016/S0191 -8141 (99)00130-3.
24. Lisle, R. J., 1994, Detecting zones of abnormal strains in structures using Gaussian curvature analysis: AAPG Bulletin, v. 78, no. 12, p. 1811-1819.
25. Lohr, T., C. M. Krawczyk, D. C. Tanner, R. Samiee, H. Endres, P. O. Thierer, O. Oncken, H. Trappe, R. Bachmann, and P. A. Kukla, 2008, Prediction of subseismic faults and fractures: Integration of three-dimensional seismic data, three-dimensional retrode- formation, and well data on an example of deformation around an inverted fault: AAPG Bulletin, v. 92, no. 4, p. 473-485, doi: 10.1306/11260707046. (Pubitemid 351715550)
26. Lynn, H. B., K. M. Simon, and C. R. Bates, 1996, Correlation between P-wave AVOA and S-wave travel time anisotropy in a naturally fractured gas reservoir: The Leading Edge, v. 15, no. 8, p. 931-935, doi:10.1190/1.1437394.
27. Mallick, S., K. L. Craft, L. J. Meister, and R. E. Chambers, 1998, Determination of the principal directions of azimuthal anisotropy from P-wave seismic data: Geophysics, v. 63, p. 692-706, doi: 10 .1190/1.1444369.
28. Murray, G. H., 1968, Quantitative fracture study: Sanish Pool, Mc-Kenzie County, North Dakota: AAPG Bulletin, v. 52, no. 1, p. 57-65.
29. National Research Council, 1996, Rock fractures and fluid flow: Contemporary understanding and applications: Washington, D.C., National Academy Press, 551 p.
30. Nelson, R. A., 2001, Geological analysis of naturally fractured reservoirs: Massachusetts, Gulf Professional Publishing, 356 p.
31. Ortiz, J., 2002, Short note: Naive Bayes classifiers and permanence of ratios: Center for Computational Geostatistics (CCG) Report 4, 12 p.
32. Sanders, C, M. Bonora, D. Richards, E. Kozlowski, C. Sylwan, and M. Cohen, 2004, Kinematic structural restorations and discrete fracture modeling of a thrust trap, a case study from the Tarija Basin, Argentina: Marine and Petroleum Geology, v. 21, no. 7, p. 845-855, doi:10.1016/j.marpetgeo.2003.09. 006. (Pubitemid 39112651)
33. Schultz-Ela, D. D., and J. Yeh, 1992, Predicting fracture permeability from bed curvature: Proceedings of the 33rd U.S. Symposium on Rock Mechanics, v. 33, p. 579-589.
34. Stearns, D. W., and M. Friedman, 1972, Reservoirs in fractured rock, in R. E. King, ed., Stratigraphic oil and gas fields: Classification, exploration methods, and case histories: AAPG Memoir 16, p. 82-106.
35. Trappe, H., and C. Hellmich, 2003, Seismic volume attributes for fracture analysis, in M. Ameen, ed., Fracture and in-situ characterization of hydrocarbon reservoirs: Geological Society (London) Special Publication 209, p. 65-75.
36. Warpinski, N. R., and J. C. Lorenz, 2008, Analysis of the multiwall experiment data and results: Implications for the basin-centered gas model, in S. P. Cumella, K. W. Shanley, and W. K. Camp, eds., Understanding, exploring and developing tight-gas sands: AAPG Hedberg Series 3, p. 157-176.
37. Wilkins, S. J., 2007, Fracture intensity from geomechanical models: Application to the blue forest 3-D survey, Green River Basin, Wyoming, U.S.A.: Geological Society (London) Special Publication 292, p. 137-157.
38. Willis, M., D. Burns, R. Rao, B. Minsley, N. Toksoz, and L. Vetri, 2006, Spatial orientation and distribution of reservoir fractures from scattered seismic energy: Geophysics, v. 71, no. 5, p. 043- O51,doi:10.1190/1.2235977. (Pubitemid 44419923)
39. Xu, W., T. T. Tran, M. Srivastava, and A. G. Journel, 1992, Integration seismic data in reservoir modeling: The collocated cokriging alternative: Society of Petroleum Engineers Paper No. 24742, 24 p.