Stratigraphic and structural connectivity

Geological Society Special Publication

Volumn 347, Issue , 2010, Pages 219-242

  Hovadik, J M ^a   Larue, D K ^a  

^a CHEVRON ENERGY TECHNOLOGY COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPARTMENTALIZATION; DEPOSITIONAL ENVIRONMENT; GAS FIELD; HYDROCARBON RESERVOIR; MUDSTONE; OIL FIELD; OIL WELL; PERMEABILITY; STRATIGRAPHIC CORRELATION; STRUCTURAL GEOLOGY; TORTUOSITY;

EID: 78649661600     PISSN: 03058719     EISSN: None     Source Type: Book Series    
DOI: 10.1144/SP347.13     Document Type: Article

References (31)

1. Ainsworth, R. B. 2006. Sequence stratigraphic-based analysis of reservoir connectivity: influence of sealing faults - a case study from a marginal marine depositional setting. Petroleum Geoscience, 12, 127-141.
2. Allen, J. R. L. 1978. Studies in fluviatile sedimentation: an exploratory quantitative model for the architecture of avulsion-controlled alluvial suites. Sedimentary Geology, 21, 129-147.
3. Bailey, W. R., Manzocchi, T. et al. 2002. The effects of faults on the 3-D connectivity of reservoir bodies: a case study from the East Pennine Coalfield, UK. Petroleum Geoscience, 8, 263-277.
4. Ballin, P. R., Solano, R., Hird, K. B. & Volz, R. F. 2002. New reservoir dynamic connectivity measurement for efficient well placement strategy analysis under depletion. Society of Petroleum Engineers, SPE Paper 77375, presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas.
5. Barton, M., O'Byrne, C. et al. 2004. Understanding hydrocarbon recovery in deepwater reservoirs: modeling outcrop data in the third dimension. Annual AAPG Meeting, 2007. Available online at: http://www.searchanddiscovery.net/documents/abstracts/annual2004/Dallas/Barton.htm
6. Beauboeuf, R. T., Rossen, C., Zelt, F., Sullivan, M. D., Mohrig, D. & Jennette, D. C. 2000. Deep-water sandstones, Brushy Canyon Formation West Texas. Field Guide for AAPG Hedberg Field Research Conference, April 15-20, 1999, AAPG Continuing Education Course Note Series #40, 1-48.
7. Christensen, K. & Moloney, N. R. 2005. Complexity and criticality. Advanced Physics Texts Volume 1. Imperial College Press, London, 15-29.
8. Dykstra, H. & Parsons, R. L. 1950. The prediction of oil recovery by water flood. In: Dykstra, H. & Parsons, R. L. (eds) Secondary Recovery of Oil in the United States, Principles and Practice. 2nd edn. American Petroleum Institute, New York, 160-174.
9. Fisher, Q. J. & Jolley, S. J. 2007. Treatment of faults in production simulation models. In: Jolley, S. J., Barr, D., Walsh, J. J. & Knipe, R. J. (eds) Structurally Complex Reservoirs. Geological Society, London, Special Publications, 292, 219-233.
10. Hird, K. B. & Dubrule, O. 1995. Quantification of reservoir connectivity for reservoir description applications. Society of Petroleum Engineers, SPE Paper 30571, presented at the SPE Annual Technical Conference and Exhibition, Formation Evaluation and Reservoir Geology, Dallas, Texas.
11. Hird, K. B. & Kelkar, M. G. 1994. Conditional simulation method for reservoir description using spatial and well-performance constraints. SPE Reservoir Engineering, 9, May, 145-152.
12. Hovadik, J. & Larue, D. K. 2007. Static characterizations of reservoirs: refining the concepts of connectivity and continuity. Petroleum Geoscience, 13, 195-221.
13. Jensen, J. L. & Lake, L. W. 1988. The influence of sample size and permeability distribution on heterogeneity measures. SPE Reservoir Engineering, 3, 629-637.
14. Jensen, J. L. & Lake, L. W. 1991. A review of heterogeneity measures used in reservoir characterization. In Situ, 15, 409-439.
15. Jensen, J. L., Hinkley, D. V. & Lake, L. W. 1987. A statistical study of reservoir permeability distributions, correlations and averages. SPE Formation Evaluation, 2, 461-468.
16. Journel, A. G. & Isaaks, E. H. 1984. Conditional indicator simulation: application to a Saskatchewan uranium deposit. Mathematical Geology, 16, 685-718.
17. King, P. R. 1990. The connectivity and conductivity of overlapping sand bodies. In: Buller, A. T., Berg, E., Hjelmeland, O., Kleppe, J., To rs æter, O. & Aasen, J. O. (eds) North Sea Oil and Gas, Reservoirs - II. Graham & Trotman, London, 353-361.
18. Larue, D. K. 2004. Outcrop and waterflood simulation modeling of the 100-foot channel complex, Texas, and the Ainsa II channel complex, Spain: analogs to multistory and multilateral channelized slope reservoirs. In: Grammer, G. M., Harris, P. M. & Eberli, G. P. (eds) Integration of Outcrop and Modern Analogs in Reservoir Modeling. American Association of Petroleum Geologists Memoir, Tulsa, 80, 337-364.
19. Larue, D. K. & Friedmann, F. 2005. The controversy concerning stratigraphic architecture of channelized reservoirs and recovery by waterflooding. Petroleum Geoscience, 11, 131-146.
20. Larue, D. K. & Hovadik, J. 2006. Connectivity of channelized reservoirs: a modelling approach. Petroleum Geoscience, 12, 291-308.
21. Larue, D. K. & Legarre, H. 2004. Flow units, connectivity, and reservoir characterization in a wave-dominated deltaic reservoir: Meren Reservoir, Nigeria. American Association of Petroleum Geologists Bulletin, 88, 303-324.
22. Pardo-Iguzquiza, E. & Dowd, P. A. 2003. CONNEC3D a computer program for connectivity analysis of 3D random set models. Computers & Geosciences, 29, 775-785.
23. Posamentier, H. W. & Venkatarathnan, K. 2003. Seismic geomorphology and stratigraphy of depositional elements in deep-water settings. Journal Sedimentary Research, 73, 367-388.
24. Pyrcz, M. J. & Strebelle, S. 2008. Event-based geostatistical modeling. In: Ortiz, J. & Emery, X. (eds) Geostatistics Santiago, Springer, Netherlands, 1143-1148.
25. Renjun, W. & Barton, M. 2006. Computer modeling of internal architecture in deep water reservoirs: a quantitative method to estimate connectivity and performance. AAPG Bulletin, 90, April 9-12, 2006.
26. Sethian, J. A. 1996. A fast marching level set method for monotonically advancing fronts. Applied Mathematics, 93, 1591-1595.
27. Sethian, J. A. 1999. Level Set Methods and Fast Marching Methods. 2nd edn. Cambridge University Press, Cambridge, UK.
28. Snedden, J. W., Vrolijk, P. J., Sumpter, L. T., Sweet, M. L., Barnes, K. R., White, E. & Farrell, M. E. 2007. Reservoir Connectivity: Definitions, Strategies, and Applications. AAPG Annual Convention and Exhibition, 2007. Available online at: http://www.searchanddiscovery.net/abstracts/html/2008/geo_bahrain/abstracts/meurer.htm
29. Strebelle, S. B. & Journel, A. G. 2001. Reservoir modeling using multiplepoint statistics. Society of Petroleum Engineers, SPE Paper 71324, presented at the SPE Annual Technical Conference and Exhibition, New Orleans, Louisiana, 30 September-3 October.
30. Tang, H. 2007. Rank Reservoir Connectivity using Dynamic Data. AAPG Annual Convention and Exhibition, 2007. Available online at: http://www.searchanddiscovery.net/abstracts/html/2007/annual/abstracts/lbTangHong.htm
31. Tang, H. & Ji, H. U. 2006. Incorporation of spatial characteristics into volcanic facies and favorable reservoir prediction. SPE Reservoir Evaluation & Engineering, 9, 565-573.