3D CNN to predict single-phase flow velocity fields
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Updated
Dec 7, 2022 - Python
3D CNN to predict single-phase flow velocity fields
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.
Reproducible material for A Wasserstein GAN with gradient penalty for 3D porous media generation.
The MultiScale Network for hierarchical regression (MS-Net) performs 3D regression based on a hierarchical principle: coarse inputs provide broad information about the data, and progressively finer-scale inputs can be used to refine this information.
3D Porosity, Tortuosity, and Permeability Assessment in Randomly Generated 3D Savonnières Carbonate Samples
2D Porosity Assessment in Randomly Generated 3D Savonnières Carbonate Samples using BoneJ and Python
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