Rapid estimation of permeability from digital rock using 3D convolutional neural network

DOI10.1007/s10596-020-09941-wzbMath1439.86040OpenAlexW3032752766MaRDI QIDQ2192827

Yanyan Li

Publication date: 18 August 2020

Published in: Computational Geosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10596-020-09941-w

zbMATH Keywords

permeability estimation3D convolutional neural networkdigital rock physicsanisotropic rockshrinking and expanding

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Geological problems (86A60)

Related Items

Deep CNNs as universal predictors of elasticity tensors in homogenization ⋮ Estimating permeability of 3D micro-CT images by physics-informed CNNs based on DNS ⋮ Prediction of effective elastic moduli of rocks using graph neural networks

Uses Software

• Python
• ImageNet
• drp-benchmarks
• AlexNet

Cites Work

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