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Отправлено: 21.04.10 12:34. Заголовок: A Markov Chain Model for Subsurface Characterization: Theory and Applications
A Markov Chain Model for Subsurface Characterization: Theory and Applications Mathematical Geology Springer Netherlands ISSN 0882-8121 (Print) 1573-8868 (Online) Volume 33, Number 5 / Июль 2001 г. DOI 10.1023/A:1011044812133 pp 569-589 A Markov Chain Model for Subsurface Characterization: Theory and Applications Amro Elfeki and Michel Dekking1 (1) Thomas Stieltjes Institute for Mathematics and Faculty of ITS, Department of Probability, Statistics and Operation Research, Delft University of Technology, P. O. Box 5031, 2600GA Delft, The Netherlands Abstract This paper proposes an extension of a single coupled Markov chain model to characterize heterogeneity of geological formations, and to make conditioning on any number of well data possible. The methodology is based on the concept of conditioning a Markov chain on the future states. Because the conditioning is performed in an explicit way, the methodology is efficient in terms of computer time and storage. Applications to synthetic and field data show good results. Markov chains - geostatistics - geological heterogeneity - reservoir characterization - conditioning
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