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Monte-Carlo uncertainty propagation in GemPy models

Workflows to conduct stochastic simulations of models in GemPy and to visualize the results. All demonstrated on a simple example model with three different lithologies and one fault. Relatively old code, documentation is lacking. Feel free to add explanations to make these notebooks useful for anyone starting to work with stochastic simulations in GemPy.

GIF creation explained in "Make a gif of a rotating gempy model using pyvista.ipynb"

Important note: It is not guaranteed that these notebooks will run with the main version of gempy. Gempy is in active development and things are changing fast, which can lead to errors when running code in these notebooks. However, the code will always run with this fork of gempy.

Featuring: Stochastic simulations with...

explained in "Stochastic simulation and spaghetti plot.ipynb"

Uncertain locations

Uncertain orientations

(or both, of course!)

Probability and entropy calculation and visualization

explained in "Stochastic simulation and probability-entropy.ipynb"

Spaghetti plot creation to visualize multiple model outcomes

explained in "Stochastic simulation and spaghetti plot.ipynb"

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