petrobras/GeoSlicer
Open source digital rocks software platform for micro-CT, CT, thin sections and borehole image analysis. Includes tools for: annotation, AI, HPC, porous media flow simulation, porosity analysis, permeability analysis and much more.
GeoSlicer helps geoscientists, engineers, and researchers analyze and visualize rock properties from image data. It takes 2D and 3D images from sources like thin sections, CT scans, and mCT imagery, and outputs detailed analyses of pore networks, petrophysical properties (like porosity and permeability), and interactive 3D visualizations. This tool is for professionals studying rock formations and porous media.
Use this if you need to perform in-depth analysis of rock images to understand their internal structure and fluid flow characteristics.
Not ideal if your primary need is general image editing or analysis outside the domain of geological and petrophysical imaging.
Stars
75
Forks
13
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/petrobras/GeoSlicer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
seisbench/seisbench
SeisBench - A toolbox for machine learning in seismology
thilowrona/seismic_deep_learning
A couple of python scripts to interpret geological structures from geophysical images using deep learning
microsoft/seismic-deeplearning
Deep Learning for Seismic Imaging and Interpretation
RichardScottOZ/mineral-exploration-machine-learning
List of resources for mineral exploration and machine learning, generally with useful code and examples.
kcieslik/eq-insar
Generate synthetic InSAR deformation data from earthquake sources for Machine/Deep Learning training