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Record Search Query:
ServiceParameters>MODELS>DIGITAL ELEVATION/DIGITAL TERRAIN MODELS
Stanford Geostatistical Earth Modeling Software (S-GEMS)
Entry ID:
SGEMS
Summary
Related URL
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Publications/References
Almeida, A. and Journel, A.: 1994, Joint simulation of multiple variables with
a markovtype coregionalization model, Mathematical Geology 26(5), 565-588. Chiles, J. and Delfiner, P.: 1999, Geostatistics: Modeling spatial uncertainty, John Wiley & Sons, New York. Deutsch, C. and Journel, A.: 1992, GSLIB: Geostatistical Software Library and User's Guide, Oxford University Press, New York. Goovaerts, P.: 1994, Comparative performance of indicator algorithms for modeling conditional probability distribution functions, Mathematical Geology 26, 389-411. Goovaerts, P.: 1997a, Geostatistics for natural resources evaluation, Oxford University Press, New York. Goovaerts, P.: 1997b, Geostatistics for natural resources evaluation, Oxford University Press, New York. Holden, L., Hauge, R., Skare, O. and Skorstad, A.: 1998, Modeling of fluvial reservoirs with object models, Mathematical Geology 30(5), 473-496. Journel, A.: 1999, Markov models for cross covariances, Mathematical Geology 31. Journel, A.: 2002, Combining knowledge from diverse sources: An alternative to traditional data independence hypotheses, Mathematical Geology 34(5), 573-596. Mao, S. and Journel, A.: 1999, Generation of a reference petrophysical/seismic data set: the stanford v reservoir, Report 12, Stanford Center for Reservoir Forecasting, Stanford, CA. Strebelle, S.: 2000, Sequential simulation drawing structures from training images, PhD thesis, Stanford University, Stanford, CA. Tjelmeland, H.: 1996, Stochastic models in reservoir characterization and Markov random fields for compact objects, PhD thesis, Norwegian University of Science and Technology, Trondheim, Norway. Tran, T.: 1994, Improving variogram reproduction on dense simulation grids, Computers and Geosciences 20(7), 1161-1168. Zhu, H. and Journel, A.: 1993, Formatting and interpreting soft data: Stochastic imaging via the markov-bayes algorithm, 1, 1-12.
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