Enhancing Recovery of Low-Productivity Coalbed Methane Wells in Medium-Shallow Reservoirs by CO2 Huff-and-Puff

Coalbed methane (CBM) is a vital clean energy resource, yet its extraction efficiency is often hindered by rapid production decline and low production rates in medium-shallow reservoirs. This study investigates the potential of CO2 huff-and-puff technology to enhance CBM recovery and achieve CO2 storage in low-productivity wells. A comprehensive model, constructed based on the geological conditions of the Qinshui Basin, was developed. Numerical simulations revealed that CO2 huff-and-puff significantly improves CH4 production by displacing adsorbed CH4 and maintaining reservoir pressure. Key findings indicate that higher CO2 injection volumes yield substantial increases in both peak CH4 production and cumulative production compared with conventional extraction. Optimal soaking times balance recovery efficiency and operational costs. Sensitivity analysis identified gas diffusion coefficients, initial permeability, and Langmuir volume constants as critical geological parameters influencing the performance. This study preliminarily demonstrates the feasibility of large-scale CO2 huff-and-puff for enhancing production in low-productivity CBM wells and provides theoretical insights for revitalizing China’s underperforming CBM wells while advancing carbon neutrality goals, although further experimental validation is still required.

Authors

Institutions

Publication Details

Journal
Separations
Published
2025-11-11
DOI
https://doi.org/10.3390/separations12110314
Primary Topic
Coal Properties and Utilization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Recovery of Low-Productivity Coalbed Methane Wells in Medium-Shallow Reservoirs by CO2 Huff-and-Puff

Chun Yang, Shaicheng Shen, Haibin Wang, Zhiming Fang
Separations
Coal Properties and Utilization
article

Enhancing Recovery of Low-Productivity Coalbed Methane Wells in Medium-Shallow Reservoirs by CO2 Huff-and-Puff

Chun Yang, Shaicheng Shen, Haibin Wang, Zhiming Fang
article en

Abstract

Coalbed methane (CBM) is a vital clean energy resource, yet its extraction efficiency is often hindered by rapid production decline and low production rates in medium-shallow reservoirs. This study investigates the potential of CO2 huff-and-puff technology to enhance CBM recovery and achieve CO2 storage in low-productivity wells. A comprehensive model, constructed based on the geological conditions of the Qinshui Basin, was developed. Numerical simulations revealed that CO2 huff-and-puff significantly improves CH4 production by displacing adsorbed CH4 and maintaining reservoir pressure. Key findings indicate that higher CO2 injection volumes yield substantial increases in both peak CH4 production and cumulative production compared with conventional extraction. Optimal soaking times balance recovery efficiency and operational costs. Sensitivity analysis identified gas diffusion coefficients, initial permeability, and Langmuir volume constants as critical geological parameters influencing the performance. This study preliminarily demonstrates the feasibility of large-scale CO2 huff-and-puff for enhancing production in low-productivity CBM wells and provides theoretical insights for revitalizing China’s underperforming CBM wells while advancing carbon neutrality goals, although further experimental validation is still required.

SeparationsVol. 12(11)
Institute of Rock and Soil Mechanics (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 57%
Coal Properties and Utilization
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.