Hierarchical object-based geostatistical modeling of fluvial reservoirs

Society of Petroleum Engineers - SPE Annual Technical Conference and Exhibition

Volumn , Issue , 1996, Pages 221-235

  Deutsch, C V ^a   Wang, L ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIDED STREAM; CHANNEL CROSS SECTION; CO-ORDINATE TRANSFORMATION; FLUVIAL RESERVOIRS; GEOMETRIC CONCEPTS; GEOSTATISTICAL MODELING; HIERARCHICAL OBJECTS;

COMPUTATIONAL GEOMETRY; MATHEMATICAL MODELS; MATHEMATICAL TRANSFORMATIONS; PETROLEUM GEOLOGY; PETROLEUM RESERVOIR EVALUATION; STATISTICAL METHODS; STRATIGRAPHY;

BRAIDED STREAM FLUVIAL RESERVOIRS; OBJECT BASED GEOSTATISTICAL MODELING;

PETROLEUM RESERVOIRS;

EID: 0029728577     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2523/36514-ms     Document Type: Conference Paper

References (12)

1. Haldorsen, H.H., Damsleth, E., Stochastic Modeling, " JPT, April, 1990, pp. 404-412.
2. Alabert, F.G., Modot, V., Stochastic Models of Reservoir He(erogeneity: Impact on Connectivity and Average Permeabilities, " paper SPE 24893 presented at the 67th Annual Technical Conference and Exhibition of [he SPE, Washington, DC, October 4-7, 1992.
3. Bridge, J., Leeder, M., (1979), A simulation model of alluvial stratigraphy: Sedimentology, v. 26, p. 617-644.
4. Clemensten, R., others, (1990), A computer program for evaluation of fluvial reservoirs, in Buller and others, eds., North Sea Oil and Gas Reservoirs II: Graham and Trotman, London.
5. Henriquez, A., others, ( 1990), Characterization of fluvial sedimentology for reservoir simulation modeling: Society of Petroleum Engineers Formation Evaluation Journal, p. 211-216.
6. Tyler, K., Henriquez, A., Svanes, T., (1995), Modeling heterogeneities in fluvial domains: A review on the influence on production profile, in J.Yarus and R.Chambers, eds., Stochastic Modeling and Geostatistics: Principles, Methods, and Case Studies, American Association of Petroleum Geologists Computer Applications in Geology, no. 3, p. 77-89.
7. Mackey, S., Bridge, J., (1992), A revised FORTRAN program to simulate alluvial stratigraphy: Computers & Geosciences, v. 18, no. 2. p. 119-181.
8. Bratvold, R., Holden, L., Svanes, T., Tyler, K., (1994), STORM: Integrated 3D stochastic reservoir modeling tool for geologists and reservoir engineers: Society of Petroleum Engineers Paper number 27563.
9. VanWagoner, J., Mitchum, R., Campion, K., Rahmanian, V., (1990), Siliciclastic Sequence Stratigraphy in Well Logs, Cores, and Outcrops: Concepts for High-Resolution Correlation of Time Fades: The American Association of Petroleum Geologists, Tulsa, Oklahoma, 55 p.
10. Isaacs, E.H., Srivastava, R.M.: An Introduction to Applied Geostatistics: Oxford University Press, New York, 1989.
11. Deutsch, C, and Journel, A., (1992), GSLIB: Geostatistical Software Library and User's Guide: Oxford University Press, New York, 340 p.
12. Deutsch, C, and Cockerham, P., (1994), Practical considerations in the application of simulated annealing to stochastic simulation: Math. Geology, v. 26, no. 1, p. 67-82.