Improving variogram reproduction on dense simulation grids
Computers & Geosciences
Multiresolution sampling procedure for analysis and synthesis of texture images
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Texture synthesis by fixed neighborhood searching
Texture synthesis by fixed neighborhood searching
Sequential simulation with patterns
Sequential simulation with patterns
Considering complex training images with search tree partitioning
Computers & Geosciences
Accounting for non-exclusivity in sequential indicator simulation of categorical variables
Computers & Geosciences
GPU-based SNESIM implementation for multiple-point statistical simulation
Computers & Geosciences
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The new multiple-point geostatistical algorithm (FILTERSIM), which can handle both categorical and continuous variable training images, is implemented in the SGeMS software. The spatial patterns depicted by the training image are first summarized into a few filter scores; then classified into pattern groups in the filter score space. The sequential simulation approach proceeds by associating each conditioning data event to a closest pattern group using some distance function. A training pattern is then sampled from that group and pasted back onto the simulation grid. Local multiple-point statistics carried by patterns are captured from the training image, and reproduced in the simulation realizations. Hence complex multiple-scale geological structures can be re-constructed in the simulation grid, conditional to a variety of sub-surface data such as well data and seismic survey.