Permeability prediction for natural porous rocks through feature selection and machine learning

J Fu, HR Thomas, C Li - 2021 - repository.lboro.ac.uk
The relationships between macroscopic properties and microstructural characteristics are of
great significance for natural porous rocks, based on which transport properties can be …

[HTML][HTML] A data-driven framework for permeability prediction of natural porous rocks via microstructural characterization and pore-scale simulation

J Fu, M Wang, B Chen, J Wang, D Xiao, M Luo… - Engineering with …, 2023 - Springer
Understanding the microstructure–property relationships of porous media is of great
practical significance, based on which macroscopic physical properties can be directly …

[HTML][HTML] Predicting permeability via statistical learning on higher-order microstructural information

M Röding, Z Ma, S Torquato - Scientific reports, 2020 - nature.com
Quantitative structure–property relationships are crucial for the understanding and prediction
of the physical properties of complex materials. For fluid flow in porous materials …

A deep learning perspective on predicting permeability in porous media from network modeling to direct simulation

M Tembely, AM AlSumaiti, W Alameri - Computational Geosciences, 2020 - Springer
Predicting the petrophysical properties of rock samples using micro-CT images has gained
significant attention recently. However, an accurate and an efficient numerical tool is still …

A New Stochastic Pore-Scale Simulation and Machine Learning Approach to Predicting Permeability and Tortuosity of Heterogeneous Porous Media

OA Ishola - 2023 - search.proquest.com
A new 3D stochastic pore-scale simulation approach was introduced in this study to
investigate how stochastic pore connectivity impacts the permeability and hydraulic …

Machine Learning Assisted Prediction of Porosity and Related Properties Using Digital Rock Images

MI Khan, A Khanal - ACS omega, 2024 - ACS Publications
Accurately estimating reservoir rock properties is paramount for modeling the storage and
flow of fluids (hydrocarbon, carbon dioxide, and groundwater) in porous media. However …

[PDF][PDF] Machine Learning Application for Permeability Estimation of Three-Dimensional Rock Images.

H Yoon, DJ Melander, SJ Verzi - AAAI Spring Symposium: MLPS, 2021 - ceur-ws.org
Estimation of permeability in porous media is fundamental to understanding coupled multi-
physics processes critical to various geoscience and environmental applications. Recent …

Improved permeability prediction of porous media by feature selection and machine learning methods comparison

JW Tian, C Qi, K Peng, Y Sun… - Journal of Computing in …, 2022 - ascelibrary.org
Permeability of subsurface porous media is one of the primary factors that affect fluid
transport in porous rock. However, accurate prediction of rock permeability is a challenging …

Machine learning modeling of permeability in 3D heterogeneous porous media using a novel stochastic pore-scale simulation approach

O Ishola, J Vilcáez - Fuel, 2022 - Elsevier
Accurate predictions of rock permeability is critical for resource exploration and
environmental management. To improve on existing approaches to permeability prediction …

Knowledge extraction via machine learning guides a topology‐based permeability prediction model

J Zhang, G Ma, Z Yang, J Mei, D Zhang… - Water Resources …, 2024 - Wiley Online Library
The complexity and heterogeneity of pore structure present significant challenges in
accurate permeability estimation. Commonly used empirical formulas neglect its microscopic …