In the context of multiple-point geostatistics, a new algorithm (SIMPAT) is presented. This algorithm relies on several image processing concepts, such as image similarity, to borrow and reproduce patterns from training images constrained to hard and soft data. The method makes use of a new multiple-grid approach by which the scale relations between the training image patterns are better captured and reproduced.
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© 2005 Springer
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Arpat, G.B., Caers, J. (2005). A Multiple-scale, Pattern-based Approach to Sequential Simulation. In: Leuangthong, O., Deutsch, C.V. (eds) Geostatistics Banff 2004. Quantitative Geology and Geostatistics, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-3610-1_26
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DOI: https://doi.org/10.1007/978-1-4020-3610-1_26
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-3515-9
Online ISBN: 978-1-4020-3610-1
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