Conditional simulation of complex geological structures using multiple-point statistics

Mathematical Geology

Volumn 34, Issue 1, 2002, Pages 1-21

  Strebelle, Sebastien ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

Geostatistics; Random geometry; Stochastic simulation; Training image

Indexed keywords

CONDITIONALITY; GEOLOGICAL STRUCTURE; SIMULATION; STATISTICAL ANALYSIS;

EID: 0042054426     PISSN: 08828121     EISSN: 15738868     Source Type: Journal    
DOI: 10.1023/A:1014009426274     Document Type: Article

References (22)

1. Bridge, J. S., and Leeder, M. R., 1979, A simulation model of alluvial stratigraphy: Sedimentology, v. 26, p. 617-644.
2. Caers, J., and Journel, A. G., 1998, Geostatistical quantification of geological information for a fluvial-type North-Sea reservoir: SPE paper no. 56655.
3. Caers, J., Srinivasan, S., and Journel, A. G., 1999, Stochastic reservoir simulation using neural networks trained on outcrop data: SPE paper no. 49026.
4. Deutsch, C. V., 1992, Annealing techniques applied to reservoir modeling and the integration of geological and engineering (well test) data: Unpublished doctoral dissertation, Stanford University, 306 p.
5. Deutsch, C. V., and Journel, A. G., 1998, GSLIB: Geostatistical software library and user's guide, 2nd ed.: Oxford University Press, New York, 368 p.
6. Deutsch, C. V., and Wang, L., 1996, Hierarchical object-based stochastic modeling of fluvial reservoirs: Math. Geol., v. 28, no. 7, p. 857-880.
7. Farmer, C. L., 1988, The generation of stochastic fields of reservoir parameters with specified geostatistical distributions, in Edwards, S., and King, P. R., eds., Mathematics in oil production: Clarendon Press, Oxford, p. 235-252.
8. Gómez-Herńandez, J. J., 1991, A stochastic approach to the simulation of block conductivity fields conditioned upon data measured at a smaller scale: Unpublished doctoral dissertation, Stanford University, 351 p.
9. Goovaerts, P., 1997, Geostatistics for natural resources evaluation: Oxford University Press, New York, 483 p.
10. Guardiano, F., and Srivastava, R. M., 1993, Multivariate geostatistics: Beyond bivariate moments, in Soares, A., ed., Geostatistics-Troia, Vol. 1: Kluwer Academic, Dordrecht, p. 133-144.
11. Haldorsen, H. H., and Damsleth, E., 1990, Stochastic modeling: J. Pet. Technol., v. 42, April, p. 404-412.
12. Journel, A. G., 1993, Geostatistics: Roadblocks and challenges, in Soares, A., ed., Geostatistics-Troia, Vol. 1: Kluwer Academic, Dordrecht, p. 213-224.
13. Journel, A. G., 1997, Deterministic geostatistics: A new visit, in Baffi, E., and Shofleld, N., eds., Geostatistics Wollongong, Vol. 1: Kluwer Academic, Dordrecht, p. 174-187.
14. Journel, A. G., and Alabert, F. G., 1989, Non-Gaussian data expansion in the Earth Sciences: Terra Nova, v. 1, p. 123-134.
15. Omre, H., 1991, Stochastic models for reservoir characterization, in Kleppe, J., and Skjaeveland, S. M., eds., Recent advances in improved oil recovery methods for North Sea sandstone reservoirs: Norwegian Petroleum Directorate, Stavanger, 14 p.
16. Roberts, E. S., 1998, Programming abstractions in C: A second course in computer science: Addison-Wesley, Reading, MA, 819 p.
17. Srivastava, M., 1992, Iterative methods for spatial simulation: Stanford Center for Reservoir Forecasting, Rep. No. 5, 24 p.
18. Srivastava, M., 1995, An overview of stochastic methods for reservoir characterization, in Yarus, J., and Chambers, R., eds., Stochastic modeling and geostatistics: Principles, methods, and case studies, Vol. 3: AAPG Computer Applications in Geology, Tulsa, p. 3-16.
19. Strebelle, S., 2000, Sequential simulation drawing structures from training images: Unpublished doctoral dissertation, Stanford University, 200 p.
20. Tjelmeland, H., 1996, Stochastic models in reservoir characterization and Markov random fields for compact objects: Unpublished doctoral dissertation, Norwegian University of Science and Technology.
21. Tran, T. T., 1994, Improving variogram reproduction on dense simulation grids: Comput. Geosci., v. 20, no. 7, p. 1161-1168.
22. Xu, W., 1996, Conditional curvilinear stochastic simulation using pixel-based algorithms: Math. Geol., v. 28, no. 7, p. 937-949.