Software

S-GeMS: Stanford Geostat Modeling Software

  • S-GeMS is a software for 3D geostatistical modeling. Many of the classical geostatistics algorithms are implemented, as well as new developments made at Stanford University.

GsTL : Geostatistical Template Library

  • GsTL is a C++ library that provides a comprehensive set of tools and algorithms for geostatistics. Based on the Generic Programming paradigm, it is extendable and easy to integrate into existing softwares

GSLIB version 2

  • Download GSLIB tar-file containing all code of the book
    GSLIB: Geostatistical software library, Deutsch, C.V. and Journel, A.G. Oxford University Press, 1998.
    This version 2.1 contains some bug correction over the 1992, version 1.
  • GSLIB help pages for help with installation and overview of the code
  • Programs added: accuracy plots, boolean channel simulation, tranformations for truncated Gaussian, cleaning of pixel-based simulations

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GUTLIB directory

The GUTLIB is a collection of the following algorithms :

  • Block CoKriging cokb3d
  • Correlogram map calculation corrmap
  • Dual Kriging (SK-OK) of Rectangular Grid dual3d
  • Fractal Simulation fracsim
  • New Categorical Simulation Program gtsim
  • Inverse Distance Intterpolation invd
  • Location Map of 2-D Rectangular Grid locmap
  • Indicator Kriging of 3D Rectangular Grid newik3d
  • New Version of Probability Field simulation pfsim3d
  • Random Stratified Sampling from 2D Data randsamp3d
  • Colocated Sgsim with Markov Hypothesis sgcosim3d
  • Multiple Grid Sgsim sgsim2
  • Sequential Indicator Simulation sisim2_fc
  • Categorical Simulation using local proportion curves sisimpdf_fc
  • New Variogram Plotting Program vargnew
  • Graphics Programs for Geostatical analysis Visualization xgam
  • xv2d xv2d
  • xv3d xv3d
  • Visualizing 2D and 3D slices in XWindows yap
  • Upscale find grid permeability and porosity using pressure solver. upscaler or flowsim
  • Indicator kriging and p-field simulation in the presence of inequality constraints, hard and soft data. iksim
  • Unconditional simulation using Turning band algorithm tb3d

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Stanford V Data Set

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