Fast sequential indicator simulation: Beyond reproduction of indicator variograms |
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| Authors: | Jinchi Chu |
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| Institution: | (1) ARCO Exploration and Production Technology, 2300 W. Plano Parkway, Plano, Texas;(2) Present address: Stanford Center for Reservoir Forecasting, Stanford University, 94305-2220 Stanford, CA |
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| Abstract: | Sequential Indicator Simulation (SIS), although widely used, is relatively slow, and requires tedious inference of a large number of indicator variogram models. SIS is designed only to estimate class proportions and to reproduce indicator variogram models; the statistics of the continuous attribute being simulated,z-histogram and variogram, may be poorly reproduced. Several implementations of the SIS algorithm are proposed resulting in better reproduction of statistics yet with better CPU performance. |
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| Keywords: | sequential indicator simulation partial ccdf determination variogram interpolation Berea dataset |
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