The Direct Sampling method to perform multiple-point geostatistical simulations
نویسندگان
چکیده
منابع مشابه
The Direct Sampling method to perform multiple‐point geostatistical simulations
[1] Multiple‐point geostatistics is a general statistical framework to model spatial fields displaying a wide range of complex structures. In particular, it allows controlling connectivity patterns that have a critical importance for groundwater flow and transport problems. This approach involves considering data events (spatial arrangements of values) derived from a training image (TI). All da...
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The Direct Sampling (DS) algorithm is a recently developed multiple-point statistical simulation technique. It directly scans the training image (TI) for a given data event instead of storing the training probability values in a catalogue prior to simulation. By using distances between the given data events and the TI patterns, DS allows to simulate categorical, continuous and multivariate prob...
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Thin irregularly-shaped surfaces such as clay drapes often have a major control on flow and transport in heterogeneous porous media. Clay drapes are often complex curvilinear 3dimensional surfaces and display a very complex spatial distribution. Variogram-based stochastic approaches are often also not able to describe the spatial distribution of clay drapes since complex, curvilinear, continuou...
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Multiple-point statistics are used in geostatistical simulation to improve forecasting of responses that are highly dependent on the reproduction of complex features of the phenomenon that cannot be captured by conventional two-point simulation methods. Inference of multiple-point statistics is often based on a training image that depicts the features that provide the character to the geologica...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 2010
ISSN: 0043-1397
DOI: 10.1029/2008wr007621