Merging prior structural interpretation and local data: The Bayes updating of multiple-point statistics

GIS and Spatial Analysis - 2005 Annual Conference of the International Association for Mathematical Geology, IAMG 2005

Volumn , Issue , 2005, Pages 615-620

  Zhang, T ^a   Switzer, P ^b   Journel, A ^a  

^a Department of Geological and Environmental Sciences ^*  (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PROBABILITY DISTRIBUTIONS; STOCHASTIC SYSTEMS;

GEOSTATISTICAL SIMULATION; LOCAL DATA; MULTIPLE-POINT STATISTICS; NON-STATIONARY CHANNELS; SEQUENTIAL SIMULATION; STRUCTURAL INTERPRETATION; TRAINING IMAGE; WELL DATA;

STRUCTURAL GEOLOGY;

EID: 84900620189     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Caers, J., 2000. Adding local accuracy to direct sequential simulation, Mathematical Geology 32(7), 815-850.
2. Goovaerts, P., 1998. Accounting for estimation optimality criteria in simulated annealing. Mathematical Geology 30(5), 511-534.
3. Journel, A. G., 2002. Combining knowledge from diverse sources: An alternative to traditional data independence hypotheses, Mathematical Geology 34(5), 573 - 596.
4. Journel, A. G., Kyriakidis, P. C; Mao, S., 2000. Correcting the smoothing effect of estimators; a spectral postprocessor, Mathematical Geology 32(7), 787-813.
5. Krishnan, S., Boucher, A., and Journel, A.G., 2004. Evaluating information redundancy through the tau model, in Proceedings of Geostatistical Congress 2004, Banff, Canada, 2004.
6. Olea, R.A. and Pavlowsky, V., 1996. Compensating for estimation smoothing in kriging. Mathematical Geology 28(4), 407-417.
7. Remy, N., 2004. The Stanford Geostatistical Earth Modeling Software (SGEMS) : A tool for new algorithm development. in Proceedings of Geostatistical Congress 2004, Banff, Canada, 2004.
8. Strebelle, S., 2002. Conditional simulation of complex geological structures using multiple-point statistics, Mathematical Geology 34(1), 1-21.