Package: gempy
Open-source, implicit 3D structural geological modeling in Python.OverviewGemPyis a Python-based,open-source geomodeling library. It is
capable of constructing complex3D geological modelsof folded
structures, fault networks and unconformities, based on the underlying
powerfulimplicit representationapproach.InstallationWe provide the latest release version of GemPy via PyPi package services. We highly recommend using PyPi,$ pip install gempyas it will take care of automatically installing all the required dependencies - except in windows that requires one extra step.Windows does not have a gcc compilers pre-installed. The easiest way to get a aesara compatible compiler is by using
the aesara conda installation. Therefore the process would be the following:$ conda install aesara$ pip install gempyFor more information, refer to theinstallation documentation.RequirementsThe following versions are required/strongly recommended for the main dependencies of GemPy (as of June 2023):python=3.10pandas=2.0.1matplotlib>=3.7pyvista>=0.39ResourcesAfter installation, you can either check thenotebook tutorialsor thevideo introductionto get started.Go to thedocumentation sitefor further information and enjoy thetutorials and examples.For questions and support, please usediscussions.If you find a bug or have a feature request, create anissue.Follow theseguidelinesto contribute to GemPy.Referencesde la Varga, M., Schaaf, A., and Wellmann, F. (2019).GemPy 1.0: open-source stochastic geological modeling and inversion, Geosci. Model Dev., 12, 1-32.Wellmann, F., & Caumon, G. (2018).3-D Structural geological models: Concepts, methods, and uncertainties.In Advances in Geophysics (Vol. 59, pp. 1-121). Elsevier.Calcagno, P., ChilÃ¨s, J. P., Courrioux, G., & Guillen, A. (2008).Geological modelling from field data and geological knowledge: Part I. Modelling method coupling 3D potential-field interpolation and geological rules. Physics of the Earth and Planetary Interiors, 171(1-4), 147-157.Lajaunie, C., Courrioux, G., & Manuel, L. (1997).Foliation fields and 3D cartography in geology: principles of a method based on potential interpolation. Mathematical Geology, 29(4), 571-584.Publications using GemPySchaaf, A., de la Varga, M., Wellmann, F., & Bond, C. E. (2021).Constraining stochastic 3-D structural geological models with topology information using approximate Bayesian computation in GemPy 2.1. Geosci. Model Dev., 14(6), 3899-3913. doi:10.5194/gmd-14-3899-2021GÃ¼dÃ¼k, N., de la Varga, M. Kaukolinna, J. and Wellmann, F. (2021).Model-Based Probabilistic Inversion Using Magnetic Data: A Case Study on the Kevitsa Deposit,Geosciences, 11(4):150.https://doi.org/10.3390/geosciences11040150.Stamm, F. A., de la Varga, M., and Wellmann, F. (2019).Actors, actions, and uncertainties: optimizing decision-making based on 3-D structural geological models, Solid Earth, 10, 2015â€“2043.Wellmann, F., Schaaf, A., de la Varga, M., & von Hagke, C. (2019).From Google Earth to 3D Geology Problem 2: Seeing Below the Surface of the Digital Earth.
In Developments in Structural Geology and Tectonics (Vol. 5, pp. 189-204). Elsevier.A continuously growing list of gempy-applications (e.g. listing real-world models) can be foundhere.GalleryGeometriesFeaturesCase studies