Permeability Prediction Via Multi Scale 3D CNN

Last update: Jul 06, 2022

Overview

Permeability-Prediction-Via-Multi-Scale-3D-CNN

Data:

The raw CT rock cores are obtained from the Imperial Colloge portal.

The CT rock cores are sub-sampled into 150x150x150 sub-volumes with a variable stride as follow,

Bentheimer Sandstone: 50 voxles
Ketton Limestone: 50 voxles
Berea Sandstone: 25 voxles
Doddington Sandstone: 50 voxles
Estaillades Limestone: 50 voxles
Carbonate (C1): 50 voxles
Carbonate (C2): 50 voxles

The sub-volumes are simulated for absolute permeability using OpenFOAM and their results are summerized in the provided excel sheet having the following information,

Number of sub-samples = 65,248
Labels description:
- casename = sub-sampling index per rock type sample
- porosity = ratio of void fraction
- eff_porosity = the connected porosity
- rock_type = { 1:Bentheimer Sandstone, 2:Ketton Limestone, 3:Berea Sandstone, 4:Doddington Sandstone, 5:Estaillades Limestone, 6:Carbonate (C1), 7:Carbonate (C2) }
- AR = anisotropy ratio
- DOA = degree of anisotropy
- k = absolute permeability

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v1.0(Feb 25, 2022)

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Permeability Prediction Via Multi Scale 3D CNN

Related tags

Overview

Permeability-Prediction-Via-Multi-Scale-3D-CNN

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