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anodi

ANODI: comparing geostatistical realizations using an analysis of distance

autobel_python

This is the repository for the Auto-BEL implementation in Python

cnn_seismic_facies_classification

convhmm.jl

Implementation of Convolved HMM

dgsa

dgsa-r

R implementation of the DGSA method

dgsa-r-version

R implementation of distance based generalized sensitivity analysis (DGSA)

dgsa_light

This is a light version of DGSA, written in Python

direct-forecasting-of-models

dispat

MATLAB codes for DisPat

distance-based-model-selection

fdagstat

An R package that implements the methods of geostatistics for functional data

ftree

An R package that implements methods for growing regression trees with functional and multivariate outputs

geologymapper

Mapping of geological structure to graphs

geomodeling_conditional_progan

Directly Conditional Facies Modeling Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)

geomodeling_conditional_to_probability_maps_plus

The second repository (GeoModeling_Conditional_ProGAN) is used for conditioning to well data and global features. This repository is for conditioning to geophysics-interpreted probability maps alone and together with well data and global features.

geomodeling_unconditional_progan

Unconditional Geomodeling related work (codes, data, and results)

levelsetmovies

modeling-uncertainty-in-the-earth-sciences

teaching material for the book "Modeling Uncertainty in the Earth Sciences", Jef Caers, 2011.

ms_ccsim

Multi-Scale CCSIM

pfa-cfca

This is an implementation of Prediction Focused Analysis (PFA) using Canonical Functional Data Analysis (CFCA) for performing dimension reduction on time series response data.

ppm

probability perturbation method for inverse modeling

pynoddyinversion

Repository to accompany PyNoddy that includes inversion code

quss

Companion code for Scheidt, C, Li, L, and Caers, J. K. Quantifying Uncertainty in Subsurface Systems, John Wiley & Sons, 2017.

sgems-uq

SGEMS-UQ code and data sets

simpat

SimPat: SIMulating with PATterns

snesim-standalone

Standalone Fortran 90 version of snesim written by Sebastien Strebelle

stanford-vi-e

Data for the synthetic reservoir Stanford VI including EM modeling

tree-based_direct_sampling

This is the first version of the Tree-based Direct Sampling (TDS), with 2D Antactica Topography modeling case as example.

tssim

Turbidite System Simulation: simulating stacking patterns observed in distributary channel-lobe system using process-based statistics