Stationarity scores on training images for multipoint geostatistics

DOI10.1007/s11004-008-9194-0zbMath1163.86316OpenAlexW1972308332MaRDI QIDQ1028770

David S. McCormick, Nneka Williams, Piotr W. Mirowski, Roy C. Davies, Claude Signer, Daniel M. Tetzlaff

Publication date: 6 July 2009

Published in: Mathematical Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-008-9194-0

zbMATH Keywords

stationarityorientationmulti-scale analysistraining imagemultiple point simulation

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Geostatistics (86A32)

Related Items (5)

High-order statistics of spatial random fields: Exploring spatial cumulants for modeling complex non-Gaussian and non-linear phenomena ⋮ A probability conditioning method (PCM) for nonlinear flow data integration into multipoint statistical facies simulation ⋮ On the use of different metrics for assessing complex pattern reproductions ⋮ Modeling channel forms and related sedimentary objects using a boundary representation based on non-uniform rational B-splines ⋮ High-order stochastic simulation of complex spatially Distributed natural phenomena

Cites Work

• Conditional simulation of complex geological structures using multiple-point statistics
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