Tortuosity of porous media: Image analysis and physical simulation

J Fu, HR Thomas, C Li - Earth-Science Reviews, 2021 - Elsevier
Tortuosity is widely used as a critical parameter to predict transport properties of porous
media, such as rocks and soils. But unlike other standard microstructural properties, the …

Fractal dimension, lacunarity and succolarity analyses on CT images of reservoir rocks for permeability prediction

Y Xia, J Cai, E Perfect, W Wei, Q Zhang, Q Meng - Journal of Hydrology, 2019 - Elsevier
An explicit relationship between seepage properties and microscopic structure of porous
media is being sought for the development of oil and gas resources. An effective method to …

Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods

J Tian, C Qi, Y Sun, ZM Yaseen, BT Pham - Engineering with Computers, 2021 - Springer
Permeability prediction is crucial in shale gas and CO 2 geological sequestration. However,
the intricate pore structure complicates the prediction of permeability. Machine learning (ML) …

[HTML][HTML] Predicting permeability from 3D rock images based on CNN with physical information

P Tang, D Zhang, H Li - Journal of Hydrology, 2022 - Elsevier
Permeability is one of the most important properties in subsurface flow problems, which
measures the ability of rocks to transmit fluid. Normally, permeability is determined through …

Permeability prediction of low-resolution porous media images using autoencoder-based convolutional neural network

HL Zhang, H Yu, XH Yuan, HY Xu, M Micheal… - Journal of Petroleum …, 2022 - Elsevier
Permeability prediction of porous media from numerical approaches is an important
supplement for experimental measurements with the benefits of being more economical and …

[HTML][HTML] Improved pore network models to simulate single-phase flow in porous media by coupling with lattice Boltzmann method

J Zhao, F Qin, D Derome, Q Kang… - Advances in Water …, 2020 - Elsevier
In this paper, different pore network models to simulate single-phase flow in porous media
are built and their accuracy is evaluated. In addition to the conventional pore network model …

Modelling stress-induced permeability alterations in sandstones using CT scan-based representations of the pore space morphology

KEM Kamel, P Gerard, JB Colliat, TJ Massart - International Journal of …, 2022 - Elsevier
This contribution presents an integrated and automated methodology for the computational
analysis of permeability alterations in natural rocks under varying stress states, taking …

Computed tomography 3D super-resolution with generative adversarial neural networks: Implications on unsaturated and two-phase fluid flow

N Janssens, M Huysmans, R Swennen - Materials, 2020 - mdpi.com
Fluid flow characteristics are important to assess reservoir performance. Unfortunately,
laboratory techniques are inadequate to know these characteristics, which is why numerical …

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 …

Absolute permeability calculations in micro-computed tomography models of sandstones by Navier-Stokes and lattice Boltzmann equations

T Zakirov, A Galeev - International Journal of Heat and Mass Transfer, 2019 - Elsevier
This paper investigates the calculation features of sandstones absolute permeability
coefficients on their digital images using the lattice Boltzmann equations (LBE) and Navier …