Quantifying and predicting naturally fractured reservoir behavior with continuous fracture models

AAPG Bulletin

Volumn 93, Issue 11, 2009, Pages 1597-1608

  Jenkins, Creties ^a   Ouenes, Ahmed ^b   Zeilou, Abdel ^c   Wingard, Jeff ^a  

^a DeGolyer and MacNaughton   (United States)

^b Prism Seismic   (United States)

^c Prism Seismic   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABILITY TESTING; FRACTURE TESTING; LITHOLOGY; PETROLEUM RESERVOIRS; SEISMOLOGY; WELL TESTING;

CARBONATE RESERVOIR; CONTINUOUS FRACTURES; GEOCELLULAR MODELS; GEOMECHANICAL MODEL; NATURALLY FRACTURED RESERVOIRS; RESERVOIR SIMULATOR; SEISMIC ATTRIBUTES; WATER SATURATIONS;

FRACTURE;

LITHOLOGY; RESERVOIR CHARACTERIZATION; SEISMIC DATA; SEISMIC METHOD; THREE-DIMENSIONAL MODELING;

EID: 73449097129     PISSN: 01491423     EISSN: None     Source Type: Journal    
DOI: 10.1306/07130909016     Document Type: Article

References (31)

1. AJ-Dosari, S., and K. Marfurt, 2006,3D volumetric multispectral estimates of reflector curvature and rotation: Geophysics, v. 71, no. 5, p. 41-51, doi:10.1190/1.2242449. (Pubitemid 44419926)
2. Boadu, F. K., 1998, Inversion of fracture density from field seismic velocities using artificial neural networks: Geophysics, v. 63, no. 2, p. 534-545, doi:10.1190/1.1444354.
3. Boerner, S., D. Gray, D. Todorovic-Marinic, A. Zellou, and G. Schnerck, 2003, Employing neural networks to integrate seismic and other data for the prediction of fracture intensity: Society of Petroleum Engineers Paper No. 84453, 13 p.
4. Bourbiaux, B., R. Basquet, J. M. Daniel, L. Y. Hu, S. Jenni, A. Lange, and P. Rasolofbsaon, 2005, Fractured reservoirs modeling: A review of the challenges and some recent solutions: First Break, v. 23, no. 9, p. 33-40.
5. Christensen, S. A., T. E. Dalgaard, A. Rosendal, J. W. Christensen, G. Robinson, A. Zellou, and T. Royer, 2006, Seismically driven reservoir characterization using an innovative integrated approach: Syd Arne field: Society of Petroleum Engineers Paper No. 103282, 11 p.
6. Dasgupta, S., M. Hong, P. La Croix, L. Al-Mana, and G. Robinson, 2000, Prediction of reservoir properties by integration of seismic stochastic inversion and coherency attributes in super giant Ghawar field (abs.): Society of Exploration Geophysicists Expanded Abstracts, v. 19, p. 1501-05, doi:10.1190/1.1815691.
7. Dershowitz, B., P. Lapointe, T. Eiben, and L. Wei, 1998, Integration of discrete feature network methods with conventional simulator approaches: Society of Petroleum Engineers Paper No. 49069, 9 p.
8. Dershowitz, W., P. La Pointe, and T. Doe, 2004, Advances in discrete fracture network modeling: Proceedings of the U.S. Environmental Protection Agency/National Groundwater Association Fractured Rock Conference, p. 882-894.
9. Dubrule, O., M. Thibaut, P. Lamy, and A. Haas, 1998, Geostatistical reservoir characterization constrained by 3D seismic data: Petroleum Geoscience, v. 4, no. 2, p. 121-128.
10. Francis, A., 2005, Limitations of deterministic and advantages of stochastic seismic inversion: Canadian Society of Exploration Geophysicists Recorder, v. 30, no. 2, p. 5-11.
11. Gauthier, B. D. M., A. M. Zellou, A. Toublanc, M. Garcia, and J. M. Daniel, 2000, Integrated fractured reservoir characterization: A case study in a North Africa field: Society of Petroleum Engineers Paper No. 65118, 11 p.
12. Haas, A., and O. Dubrule, 1994, Geostatistical inversion: A sequential method of stochastic reservoir modeling constrained by seismic data: First Break, v. 12, no. 11, p. 561-569.
13. Laribi, M., et al., 2003, Integrated fractured reservoir characterization and simulation: Application to Sidi El Kilani field, Tunisia.: Society of Petroleum Engineers Paper No. 84455, 13 p.
14. Lo, T.-W., and W. Bashore, 1999, Seismic constrained facies modeling using stochastic seismic inversion and indicator simulation: A North Sea example (abs.): Society of Exploration Geophysicists Expanded Abstracts, v. 18, p. 923-926.
15. Mace, L., L. Souche, and J.-L. Mallet, 2004,3D fracture characterization based on geomechanics and geologic data uncertainties: 9th European Conference on the Mathematics of Oil Recovery: Houten, Netherlands, European Association of Geoscientists and Engineers, 8 p.
16. Ouenes, A., 2000, Practical application of fuzzy logic and neural networks to fractured reservoir characterization: Computers and Geosciences, v. 26, no. 9, p. 953-962.
17. Ouenes, A., S. Richardson, and W. Weiss, 1995, Fractured reservoir characterization and performance forecasting using geomechanics and artificial intelligence: Society of Petroleum Engineers Paper No. 30572, 12 p.
18. Ouenes, A., A. M. Zellou, P. M. Basinski, and C. F. Head, 1998, Practical use of neural networks in tight gas fractured reservoirs: Application to the San Juan Basin: Society of Petroleum Engineers Paper No. 39965, 8 p.
19. Ouenes, A., G. Robinson, and A. Zellou, 2004, Impact of pre-stack and post-stack seismic on integrated naturally fractured reservoir characterization: Society of Petroleum Engineers Paper No. 87007, 11 p.
20. Ouenes, A., G. Robinson, D. Balogh, A. Zellou, D. Umbsaar, H. Jarraya, T. Boufares, L. Ayadi, and R. Kacem, 2008, Seismically driven characterization, simulation and underbalanced drilling of multiple horizontal boreholes in a tight fractured quartzite reservoir: Application to Sabria field, Tunisia: Society of Petroleum Engineers Paper No. 112853, 12 p.
21. Pinous, O., E. P. Sokolov, S. Y. Bahir, A. Zellou, G. Robinson, T. Royer, N. Svikhnushin, D. Borisenok, and A. Blank, 2006, Application of an integrated approach for the characterization of a naturally fractured reservoir in the West Siberian basement (example of Maloichskoe field): Society of Petroleum Engineers Paper No. 102562, 7 p.
22. Raguwanti, R., A. Sukotjo, B. Wikan, and H. Adibrata, 2005, Innovative approach using geostatistical inversion for carbonate reservoir characterization in Sopa field, south Sumatra, Indonesia (abs.): 2005 AAPG International Conference and Exhibition, Paris, France, http://www.searchanddiscovery.net/ documents/abstracts/2005intl-paris/raguwanti.htm.
23. Robinson, G. C, 2001, Stochastic seismic inversion applied to reservoir characterization: Canadian Society of Exploration Geophysicists Recorder, v. 26, no. 1, p. 36-40.
24. Sabathier, J. C, B. J. Bourbiaux, M. C. Cacas, and S. Sarda, 1998, A new approach of fractured reservoirs: Society of Petroleum Engineers Paper No. 39825, 11p.
25. Sullivan, C, E. Ekstrand, T. Byrd, D. Bruce, M. Bogaards, R. Boese, and P. Mesdag, 2004, Quantifying uncertainty in reservoir properties using geostatistical inversion at the Holstein field, deepwater Gulf of Mexico (abs.): Society of Exploration Geophysicists Expanded Abstracts, v. 23, p. 1491-1494, doi:10 .1190/1.1851128.
26. Torres-Verdin, C., M. Victoria, G. Merletti, and J. Pendrel, 1999, Trace- based and geostatistical inversion of 3-D seismic data for thin-sand delineation, an application in San Jorge Basin, Argentina: The Leading Edge, v. 18, no. 9, p. 1070-1076, doi:10.1190/1 .1438434.
27. Wong, P. M., 2003, A novel technique for modeling fracture intensity: A case study from the Pinedale anticline in Wyoming: AAPG Bulletin, v. 87, no. 11, p. 1717-1727, doi: 10.1306/07020303005.
28. Zellou, A., and A. Ouenes, 2003, Integrated fractured reservoir characterization using neural networks and fuzzy logic: Three case studies, in M. Nikravesh, L. A. Zadeh, and F. Aminzadeh, eds., Soft computing and intelligent data analysis in oil exploration: Developments in Petroleum Geoscience 51, p. 583-602.
29. Zellou, A., L. Hartley, E. Hoogerduijn-Strating, S. Al Dhahab, W. Boom, and F. Hadrami, 2003, Integrated workflow applied to the characterization of a carbonate fractured reservoir Qam Alam field: Society of Petroleum Engineers Paper No. 81579, 8 p.
30. Zellou, A., G. Robinson, T. Royer, P. Zahuczki, and A. Kiraly, 2006, Fractured reservoir characterization using post-stack seismic attributes: Application to a Hungarian reservoir (abs.j: European Association of Geoscientists and Engineers Annual Conference, Vienna, Austria, 4 p.
31. Zellou, A. M., A. Ouenes, and A. K. Banik, 1995, Improved fractured reservoir characterization using neural networks, geomechanics, and 3-D seismic: Society of Petroleum Engineers Paper No. 30722, 11 p.