Title: Research on reservoir facies modeling using multiple-point geostatistics
Abstract: Traditional variogram-based geostatistics conditional stochastic simulation is a rou-tine tool in reservoir modeling to model reservoir heterogeneities and assess the spatial un-certainties. However, complex patterns are typically poorly reproduced by traditional geo-statistics. Multiple-point geostatistics approach based on training images therefore was intro-duced to solve this problem. A training image is a numerical prior geological model which contains the facies structures and relationship believed existing in realistic reservoirs. Intro-ducing geological prior knowledge or conceptual models into reservoir modeling through training images is a breakthrough contribution of multiple -point geostatistics to reservoir modeling.
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
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Cited By Count: 2
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