Research on Gas Mass Transfer Mechanism of Shale Micro-Nanopores

Abstract Shale reservoirs contain abundant micro- and nanopores and act as both source rocks and gas reservoirs, resulting in gas storage and transport behaviors that differ markedly from those in conventional reservoirs. During shale gas production, adsorption and desorption, together with stress-dependent deformation, alter the effective pore geometry, while gas slippage affects transport through the resulting flow channels. In this study, an apparent permeability model is developed within a capillary framework by coupling adsorption-induced deformation, stress-sensitive pore evolution, and the first-order slippage effect. The calculated permeability is compared with published CH4 and He measurements under different confining pressures, and the effects of effective stress and selected model parameters are examined. The calculated curves reproduce the main pressure-dependent permeability trends observed in the published dataset, with the level of agreement varying among the individual gas-confining-pressure series. At a given pore pressure, apparent permeability decreases with increasing effective stress, while the rate of decrease gradually diminishes. The model results further show that temperature, initial pore radius, elastic modulus, and gas properties influence apparent permeability through their effects on pore geometry, adsorption-induced deformation, stress response, and gas rarefaction. These results provide a basis for further investigation of gas transport and apparent-permeability evolution in shale micro- and nanopores.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2026-09-30
DOI
https://doi.org/10.1021/acsomega.6c06591
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Research on Gas Mass Transfer Mechanism of Shale Micro-Nanopores

Xinghai Lei, Feng Guo, Pengfei Hao, Aizhong Luo et al.
ACS Omega
Hydrocarbon exploration and reservoir analysis
article

Research on Gas Mass Transfer Mechanism of Shale Micro-Nanopores

Xinghai Lei, Feng Guo, Pengfei Hao, Aizhong Luo, Qing Qiao, Haiyan Li, Yongrui Sun
article en

Abstract

Abstract Shale reservoirs contain abundant micro- and nanopores and act as both source rocks and gas reservoirs, resulting in gas storage and transport behaviors that differ markedly from those in conventional reservoirs. During shale gas production, adsorption and desorption, together with stress-dependent deformation, alter the effective pore geometry, while gas slippage affects transport through the resulting flow channels. In this study, an apparent permeability model is developed within a capillary framework by coupling adsorption-induced deformation, stress-sensitive pore evolution, and the first-order slippage effect. The calculated permeability is compared with published CH4 and He measurements under different confining pressures, and the effects of effective stress and selected model parameters are examined. The calculated curves reproduce the main pressure-dependent permeability trends observed in the published dataset, with the level of agreement varying among the individual gas-confining-pressure series. At a given pore pressure, apparent permeability decreases with increasing effective stress, while the rate of decrease gradually diminishes. The model results further show that temperature, initial pore radius, elastic modulus, and gas properties influence apparent permeability through their effects on pore geometry, adsorption-induced deformation, stress response, and gas rarefaction. These results provide a basis for further investigation of gas transport and apparent-permeability evolution in shale micro- and nanopores.

ACS Omega
China University of Mining and Technology (CN), Chengdu Surveying Geotechnical Research Institute (CN), China University of Mining and Technology - Beijing, Guizhou University of Engineering Science (CN)
Openalex Percentile: Top 21%
Hydrocarbon exploration and reservoir analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.