GeoStatsImages

Training images for geostastical simulation


Keywords
dataset, geostatistics, images, multiple-point-statistics
License
ISC

Documentation

GeoStatsImages.jl

Training images for geostastical simulation in Julia.

Build Status GeoStatsImages Coverage Status

This package converts famous training images from the geostatistcs literature to a standard format for quick experimentation in Julia. It is part of the GeoStats.jl framework and can be used in conjunction with multiple-point simulation solvers.

The author does not hold any copyright on the data. Please give credit to the sources at the bottom of this page.

Installation

Pkg.add("GeoStatsImages")

Usage

TI = training_image(identifier::AbstractString)

where identifier can be any of the strings listed with the command GeoStatsImages.available()

Preview

Continuous

WalkerLake

WalkerLakePreview

WalkerLakeTruth

WalkerLakeTruthPreview

StoneWall

StoneWallPreview

Herten

HertenPreview

Lena

LenaPreview

FlumeContinuous{01,02,...,13}

FlumeContinuousPreview

StanfordV

StanfordVPreview

Categorical

Strebelle

StrebellePreview

FlumeBinary{01,02,...,13}

FlumeBinaryPreview

WestCoastAfrica

WestCoastAfricaPreview

Flumy

FlumyPreview

Fluvsim

FluvsimPreview

Contributing

Contributions are very welcome, as are feature requests and suggestions.

Please open an issue if you encounter any problems.

REFERENCES

Gregoire, M.; Caers, J., 2014. Multiple-point Geostatistics: Stochastic Modeling with Training Images. [WEBSITE]

St. Anthony Falls Laboratory, University of Minnesota. [WEBSITE]

Mao, S.; Journel, A., 1999. Generation of a reference petrophysical/seismic data set: the Stanford V reservoir. [PAPER]