S-GeMS 3D modelling made easy
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S-GeMS Description

SGeMS is an application that was designed for 3D geostatistical modeling. It implements many of the classical geostatistics algorithms, as well as new developments made at the SCRF lab, Stanford University. SGeMS relies on the Geostatistics Template Library (GsTL) to implement its geostatistical routines, including: Kriging Multi-variate kriging (co-kriging) Sequential Gaussian simulation Sequential indicator simulation Multi-variate sequential Gaussian and indicator simulation Multiple-point statistics simulation Main features: Comprehensive geostatistical toolbox Standard data analysis tools: histogram, QQ-plots, variograms. interactive 3D visualization Scripting capabilities: SGeMS embeds the Python scripting language, that allows to automatically perform several (repetitive) actions. Use of plug-ins to add new geostatistics algorithms, support new file formats, or increase the set of script commands

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