Stochastic Modeling And Geostatistics: Principles, Methods, and Case Studies T. C. Coburn
Publisher: American Association Of Petroleum Geologists

AAPG Computer Applications in Geology Series, No. Yarus, J., and Chambers, R., eds., Stochastic modeling and geostatistics: principles, methods, and case studies, v.3: AAPG Computer Applications in Geology, p. Snesim is a pixel based method that considers multipoint statistics, and . Stochastic methods allow to deal with heterogeneity (6), and among them the multiple-point methods are described and tested on diverse case studies. Book Title, Stochastic Modeling and Geostatistics: Principles, Methods, and Case Studies. Berliner, 1999: Statistical principles for climate change studies. Publisher, AAPG Computer Applications in Geology 5. For the tion fluvio-glacial aquifer analog: Part 2: geostatistical modeling. Good approximation of the Bayesian maximum entropy principle (8), with. 2003: Stochastic modeling of the effects of large-scale circulation on . Stochastic Modeling and Geostatistics. Principles, Methods, and Case Studies. Case Studies in Environmental Statistics is volume 132 in the Springer field forecasting: The geostatistical output perturbation (GOP) method".