Geological parameters and gas mixture composition on enhanced coalbed methane recovery: A THM modeling approach

The utilization of coalbed methane (CBM) cannot only alleviate the energy crisis, but also reduce greenhouse gas emissions. Gas injection is an effective method to enhance CBM recovery. Compared to single-gas injection, the injection of CO 2 /N 2 mixtures can balance the sharp decline in permeability caused by pure CO 2 and the premature breakthrough by pure N 2 . In this study, a more comprehensive thermo-hydro-mechanical (THM) coupled mathematical model was developed, incorporating processes such as ternary gas non-isothermal adsorption, gas dissolution in water, gas–water two-phase flow, energy exchange, and coal deformation. After experimental validation, the model was applied to simulate the entire process of gas mixtures for enhanced CBM recovery (GM-ECBM). Results indicate that the permeability near the production well (PW) initially decreases due to increased effective stress, then increases as a result of CH 4 desorption. Near the injection well (IW), the permeability first increases due to reduced effective stress and later stabilizes under the combined effects of effective stress and CO 2 /N 2 adsorption. The initial CH 4 pressure and coal seam permeability have the most significant impact on CH 4 production, while the coal seam permeability and temperature significantly affect CO 2 /N 2 injection. As the coal seam permeability increases, the optimal CO 2 /N 2 ratio also increases accordingly. These findings provide important theoretical guidance for improving GM-ECBM efficiency in coal seams with varying permeabilities.

Authors

Institutions

Publication Details

Journal
Petroleum Science
Published
2025-02-13
DOI
https://doi.org/10.1016/j.petsci.2025.02.002
Citations
15
Primary Topic
Coal Properties and Utilization
Type
article
Field-Weighted Citation Impact
17.18

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Geological parameters and gas mixture composition on enhanced coalbed methane recovery: A THM modeling approach

Chaojun Fan, Zhiheng Cheng, Lijun Zhou, Hao Sun et al.
15 citations
Petroleum Science
Coal Properties and Utilization
17.18
article

Geological parameters and gas mixture composition on enhanced coalbed methane recovery: A THM modeling approach

Chaojun Fan, Zhiheng Cheng, Lijun Zhou, Hao Sun, Haiou Wen, Lei Yang, Mingkun Luo, Z.Y.S. Zhang
article en
15 citations

Abstract

The utilization of coalbed methane (CBM) cannot only alleviate the energy crisis, but also reduce greenhouse gas emissions. Gas injection is an effective method to enhance CBM recovery. Compared to single-gas injection, the injection of CO 2 /N 2 mixtures can balance the sharp decline in permeability caused by pure CO 2 and the premature breakthrough by pure N 2 . In this study, a more comprehensive thermo-hydro-mechanical (THM) coupled mathematical model was developed, incorporating processes such as ternary gas non-isothermal adsorption, gas dissolution in water, gas–water two-phase flow, energy exchange, and coal deformation. After experimental validation, the model was applied to simulate the entire process of gas mixtures for enhanced CBM recovery (GM-ECBM). Results indicate that the permeability near the production well (PW) initially decreases due to increased effective stress, then increases as a result of CH 4 desorption. Near the injection well (IW), the permeability first increases due to reduced effective stress and later stabilizes under the combined effects of effective stress and CO 2 /N 2 adsorption. The initial CH 4 pressure and coal seam permeability have the most significant impact on CH 4 production, while the coal seam permeability and temperature significantly affect CO 2 /N 2 injection. As the coal seam permeability increases, the optimal CO 2 /N 2 ratio also increases accordingly. These findings provide important theoretical guidance for improving GM-ECBM efficiency in coal seams with varying permeabilities.

Petroleum ScienceVol. 22(5)
Changzhi University (CN), North China Institute of Science and Technology (CN), Liaoning Technical University (CN), Inner Mongolia University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Liaoning Province, Liaoning Revitalization Talents Program
Openalex Percentile: Top 1%
Coal Properties and Utilization
17.18
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.