Multiple Point Geostatistics: Optimal Template Selection and Implementation in Multi-Threaded Computational Environments
Sequential Indictor Simulation is a classic stochastic simulation approach that is pixelbased and utilizes kriging/cokriging to obtain estimates of the necessary conditional distributions and generate various analogous reservoir realizations of the target reservoir. However, reproduction of complex 3D patterns is not possible using traditional two-point statistics (variogram) based approaches. Therefore, new stochastic simulation approaches based on multiple point statistics have surfaced in the literature. Since computational efficiency is a significant consideration in implementation of multiple point statistics based modeling approaches, parallel computational techniques and multithreading have to be implemented in order to render the process efficient for field scale reservoir characterization. The implementation of such a multi-threaded, multiple point simulation algorithm is discussed. The selection of an optimal spatial template is critical for capturing and reproducing complex spatial patterns observed in analogous systems. An efficient template optimization algorithm is also presented.
KeywordsEntropy Anisotropy Petroleum Covariance Kriging
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