gempy-project/gempy

Health v2 · maintenance only

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1336 stars · 280 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

GemPy is an open-source Python library for implicit 3D structural geological modeling, generating complex models of layers, faults, folds, and unconformities from interface and orientation data. It is GPU-accelerated, built on PyTorch with automatic differentiation, and designed for probabilistic/Bayesian uncertainty analysis.

Use cases

• build a 3D geological model from borehole contact points and orientation data
• model fault networks, folds, and unconformities in the subsurface
• run Monte Carlo simulations to quantify geological model uncertainty
• apply Bayesian inference to update geomodels with new data
• visualize 3D geological models interactively in Jupyter with PyVista
• create implicit stratigraphic layer models for geoscience research

When to choose

• you need open-source, scriptable 3D structural geological modeling in Python
• you want probabilistic/uncertainty-aware geomodeling with gradient-based inference
• you need to model complex structures like fault networks and folds implicitly
• you want GPU-accelerated model generation integrated with PyTorch

When to avoid

• you need CAD-style manual surface editing or a full commercial geomodeling GUI
• your project depends on the legacy GemPy v2 workflows
• you only need simple 2D cross-sections without 3D implicit interpolation

Facets

library · maturity active

simulation machine-learning data-visualization math simulation data-science machine-learning python cross-platform geological-modeling geomodeling implicit-modeling uncertainty-quantification bayesian-inference monte-carlo pytorch 3d-modeling subsurface geoscience gpu

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