Training images for geostastical simulation in Julia.
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.
TI = training_image(identifier::AbstractString)
identifier can be any of the strings listed with the command
Contributions are very welcome, as are feature requests and suggestions.
Please open an issue if you encounter any problems.
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]