Parameterization of Channelized Training Images: A Novel Approach for Multiple-Point Simulations of Fluvial Reservoirs-Reference-Cited by-同舟云学术

Parameterization of Channelized Training Images: A Novel Approach for Multiple-Point Simulations of Fluvial Reservoirs

Published:2013-10-08 Issue: Volume: Page:557-560
ISSN:2193-8571
Container-title:Lecture Notes in Earth System Sciences
language:
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Author:

Fadlelmula Mohamed M.,Akin Serhat,Duzgun Sebnem

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-32408-6_122

Reference7 articles.

1. Strebelle, S.B. (2000). Sequential Simulation Drawing Structures from Training Images. Ph.D. thesis, Stanford University, California.

2. Strebelle, S., and Journel, A.G. (2001). Reservoir modeling using multiple-point statistics. In: Society of Petroleum Engineers Annual Technical Conference and Exhibition, SPE Paper 71324, New Orleans.

3. Journel, A. G. (2005). Beyond covariance: the advent of multiple-point geostatistics, geostatistics banff 2004. Quantitative Geology and Geostatistics, 14, 225–233.

4. Feyen, L., & Caers, J. (2006). Quantifying geological uncertainty for flow and transport modeling In Multi-modal heterogeneous formations. Advances in Water Resources, 29, 912–929.

5. Boisvert, J., Pyrcz, M., & Deutsch, C. (2007). Multiple-point statistics for training image selection. Natural Resources Research, 16, 313–321.

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