Numerical Study of Optimal Injected Gas Mixture Proportions for Enhancing Coalbed Methane Recovery

A comprehensive thermo-hydro-mechanical numerical model for gas mixture-enhanced coalbed methane recovery was developed, in combination with coal deformation, competitive adsorption, ternary gas seepage, gas-water migration, and heat transfer. The model, implemented using COMSOL Multiphysics, investigates optimal gas injection proportions under varying conditions of injection temperature, initial water saturation, and initial permeability. The results demonstrate that higher injection temperatures and initial permeability, with lower initial water saturation, significantly enhance methane production. Specifically, at an injection temperature of 340 K and a permeability of 1.028 mD, optimal CO<sub>2</sub> concentrations are 50 and 70%, resulting in cumulative methane productions of 6.3 × 10<sup>6</sup> and 7.2 × 10<sup>6</sup> m<sup>3</sup>, respectively. In contrast, at an initial water saturation of 0.8, a CO<sub>2</sub> concentration of 30% proves to be the most effective, yielding a cumulative methane production of 5.8 × 10<sup>6</sup> m<sup>3</sup>. These findings offer critical insights into optimizing the balance between CO<sub>2</sub> and N<sub>2</sub> proportions, thereby maximizing methane recovery while minimizing the risks of premature breakthrough and permeability reduction caused by coal matrix swelling.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2025-02-13
DOI
https://doi.org/10.1021/acsomega.4c08205
Citations
5
Primary Topic
Coal Properties and Utilization
Type
article
Field-Weighted Citation Impact
5.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Study of Optimal Injected Gas Mixture Proportions for Enhancing Coalbed Methane Recovery

Nan Fan, Zhan Gao, Cunbao Deng, Hongyu Wang
5 citations
ACS Omega
Coal Properties and Utilization
5.73
article

Numerical Study of Optimal Injected Gas Mixture Proportions for Enhancing Coalbed Methane Recovery

Nan Fan, Zhan Gao, Cunbao Deng, Hongyu Wang
article en
5 citations

Abstract

A comprehensive thermo-hydro-mechanical numerical model for gas mixture-enhanced coalbed methane recovery was developed, in combination with coal deformation, competitive adsorption, ternary gas seepage, gas-water migration, and heat transfer. The model, implemented using COMSOL Multiphysics, investigates optimal gas injection proportions under varying conditions of injection temperature, initial water saturation, and initial permeability. The results demonstrate that higher injection temperatures and initial permeability, with lower initial water saturation, significantly enhance methane production. Specifically, at an injection temperature of 340 K and a permeability of 1.028 mD, optimal CO<sub>2</sub> concentrations are 50 and 70%, resulting in cumulative methane productions of 6.3 × 10<sup>6</sup> and 7.2 × 10<sup>6</sup> m<sup>3</sup>, respectively. In contrast, at an initial water saturation of 0.8, a CO<sub>2</sub> concentration of 30% proves to be the most effective, yielding a cumulative methane production of 5.8 × 10<sup>6</sup> m<sup>3</sup>. These findings offer critical insights into optimizing the balance between CO<sub>2</sub> and N<sub>2</sub> proportions, thereby maximizing methane recovery while minimizing the risks of premature breakthrough and permeability reduction caused by coal matrix swelling.

ACS OmegaVol. 10(7)
UK Coal (GB), China Coal Technology and Engineering Group Corp (China) (CN), Taiyuan University of Technology (CN)
Clean water and sanitation
Openalex Percentile: Top 5%
Coal Properties and Utilization
5.73
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.