Mixed‐point geostatistical simulation: A combination of two‐ and multiple‐point geostatistics

作者: Knud Skou Cordua , Thomas Mejer Hansen , Mats Lundh Gulbrandsen , Christophe Barnes , Klaus Mosegaard

DOI: 10.1002/2016GL070348

关键词:

摘要: Multiple-point-based geostatistical methods are used to model complex geological structures. However, a training image containing the characteristic patterns of Earth has be provided. If no is available, two-point (i.e., covariance-based) typically applied instead because these provide fewer constraints on model. This study motivated by case where 1D vertical images available through borehole logs, whereas little or information about horizontal dependencies exists. problem solved developing theory that makes it possible combine from multiple- and geostatistics for different directions, leading mixed-point An example combining multiple-point-based SNESIM algorithm two-point-based SISIM The conditional sequential simulation based five logs range parameter describing dependencies.

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