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Practical Implementation Details of Multiple Point Statistical Simulation
2016
Best practice and recommendations for multiple point statistics (MPS) simulation are presented. Three main contributions are: (1) assessing the stationarity of training images (TI) and determining the characteristics of TI's that result in realizations that reproduce features found in the TI; (2) determining optimal input parameters of MPS simulation; (3) summarizing categorical merging rules when implementing MPS simulation in a hierarchical MPS methodology. Specifically, the first
doi:10.7939/r3z60c71s
fatcat:gy5mgalr2bg4plklk3266rum5m