煤
煤矿开采
固碳
强化煤层气回收
环境科学
石油工程
背景(考古学)
温室气体
二氧化碳
采矿工程
甲烷
化石燃料
地质学
废物管理
化学
工程类
海洋学
古生物学
有机化学
作者
Sirous Hosseinzadeh,Manouchehr Haghighi,Alireza Salmachi,Amin Shokrollahi
出处
期刊:
[Elsevier BV]
日期:2024-07-30
卷期号:241: 213198-213198
被引量:19
标识
DOI:10.1016/j.geoen.2024.213198
摘要
Storing carbon dioxide (CO2) resulting from the burning of fossil fuels in geological formations could be an environmentally appealing approach to mitigate the volume of greenhouse gas emissions. Among the geological choices available, storing CO2 in coal deposits offers numerous benefits. For instance, injecting CO2 can boost methane production from coal reserves, coal has the capacity to securely retain CO2 for extended durations, and there are promising coal basins near various CO2-emitting sources that contain suitable formations for sequestration. Practical trials involving the storage of CO2 in coal seam reservoirs have encountered significant challenges, primarily the decline in injectivity resulting from coal swelling and extensive loss due to the concentration of the reservoir's cleat system. CO2 sequestration in coal reservoirs carries several potential risks, including leakage CO2 if not properly contained, which can migrate through the geological formations. Additionally, it can induce seismicity—the injection of CO2 may increase pore pressure in the coal reservoir, potentially triggering seismic activity, especially if the pressure buildup leads to fault. There are also concerns about reservoir integrity, as the injection of CO2 can alter the structural and mechanical properties of the coal reservoir, leading to coal swelling, and environmental impacts. In this research, our objective is to review and reassess research related to the storage of CO2 in coal reservoirs. This study concentrates on the alterations in characteristics and responses of coal formations resulting from CO2 exposure in the context of CO2 sequestration. We emphasize the key discoveries from existing research up to this point and suggest areas with significant potential.
科研通智能强力驱动
Strongly Powered by AbleSci AI