Deep learning in pore scale imaging and modeling

Y Da Wang, MJ Blunt, RT Armstrong… - Earth-Science Reviews, 2021 - Elsevier
Pore-scale imaging and modeling has advanced greatly through the integration of Deep
Learning into the workflow, from image processing to simulating physical processes. In …

Simulation of mineral dissolution at the pore scale with evolving fluid-solid interfaces: Review of approaches and benchmark problem set

S Molins, C Soulaine, NI Prasianakis, A Abbasi… - Computational …, 2021 - Springer
This manuscript presents a benchmark problem for the simulation of single-phase flow,
reactive transport, and solid geometry evolution at the pore scale. The problem is organized …

3D Printing of natural sandstone at pore scale and comparative analysis on micro-structure and single/two-phase flow properties

R Song, Y Wang, Y Tang, J Liu, C Yang - Energy, 2022 - Elsevier
As the first effort in literature, the 3DP sample from the micro-CT image of a natural
sandstone in this study achieves the printing resolution of 2 μm. The pore structure of both …

Computationally efficient multiscale neural networks applied to fluid flow in complex 3D porous media

JE Santos, Y Yin, H Jo, W Pan, Q Kang… - Transport in porous …, 2021 - Springer
The permeability of complex porous materials is of interest to many engineering disciplines.
This quantity can be obtained via direct flow simulation, which provides the most accurate …

Digital rock physics, chemistry, and biology: challenges and prospects of pore-scale modelling approach

S Sadeghnejad, F Enzmann, M Kersten - Applied Geochemistry, 2021 - Elsevier
Conventional and unconventional hydrocarbon rocks have complicated pore structures with
heterogeneities distributed over various length scales (from nanometre to centimetre or even …

Review on Pore Structure Characterization and Microscopic Flow Mechanism of CO2 Flooding in Porous Media

Y Tang, C Hou, Y He, Y Wang, Y Chen… - Energy …, 2021 - Wiley Online Library
Understanding of pore structure and microscopic flow mechanism at pore‐scale is
significant for enhancing oil recovery by carbon dioxide (CO2) flooding. Herein, the pore …

Towards Bayesian quantification of permeability in micro-scale porous structures–the database of micro networks

B Fazelabdolabadi, MH Golestan - HighTech and Innovation …, 2020 - hightechjournal.org
This article develops a Bayesian framework to quantify the absolute permeability of water in
a porous structure from the geometry and clustering parameters of its underlying pore-throat …

A comprehensive experimental study on mechanical behavior, microstructure and transport properties of 3D-printed rock analogs

R Song, Y Wang, S Ishutov… - Rock Mechanics and …, 2020 - Springer
Abstract 3D-printed (3DP) analogs of natural rocks have been used in laboratory tests
concerning geomechanical and transport properties. Rock analogs manufactured by 3D …

Multiscale fusion of digital rock images based on deep generative adversarial networks

M Liu, T Mukerji - Geophysical Research Letters, 2022 - Wiley Online Library
Computation of petrophysical properties on digital rock images is becoming important in
geoscience. However, it is usually complicated for natural heterogeneous porous media due …

[HTML][HTML] Review of foam stability in porous media: The effect of coarsening

W Yu, MY Kanj - Journal of Petroleum Science and Engineering, 2022 - Elsevier
Foam stability in porous media is crucial to industrial applications such as enhanced oil
recovery (EOR) and CO 2 geological sequestration. Though many studies of foam stability in …