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Feasibility study of enhanced biogenic coalbed methane production by super-critical CO2 extraction

Author

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  • Guo, Hongguang
  • Zhang, Yujie
  • Zhang, Yiwen
  • Li, Xingfeng
  • Li, Zhigang
  • Liang, Weiguo
  • Huang, Zaixing
  • Urynowicz, Michael
  • Ali, Muhammad Ishtiaq

Abstract

Super-critical CO2 enhanced coalbed methane (Sc-CO2-ECBM) and microbially enhanced coalbed methane (MECBM) are environment-friendly technologies that can improve CBM recovery and generation. In this study, a new approach of MECBM based on Sc-CO2 extraction is presented. The Sc-CO2 pretreatment experiments of anthracite and bituminous coal were conducted to produce biomethane. The extracted organics and the changes of coal structure caused by Sc-CO2 were also analyzed to discuss the mechanism of methane stimulation. The results indicated that methane yields have been greatly improved after Sc-CO2 extraction by 734.85% and 148.15% for anthracite and bituminous coal, respectively. The extractions observed by GC-MS analysis is also favored to generate methane by microorganisms. The little increment of methane production from coal treated by subcritical CO2 indicated that the special characteristics of Sc-CO2 were critical for the stimulation of methane production. More functional groups and even new functional groups were formed to increase coal bioavailability after Sc-CO2 extraction. The specific surface area and total pore volume of bituminous coal increase after Sc-CO2 extraction that could provide more action sites for microorganisms and enzymes. These results strongly proved the feasibility of enhancing CBM by microbial degradation based on Sc-CO2 extraction.

Suggested Citation

  • Guo, Hongguang & Zhang, Yujie & Zhang, Yiwen & Li, Xingfeng & Li, Zhigang & Liang, Weiguo & Huang, Zaixing & Urynowicz, Michael & Ali, Muhammad Ishtiaq, 2021. "Feasibility study of enhanced biogenic coalbed methane production by super-critical CO2 extraction," Energy, Elsevier, vol. 214(C).
  • Handle: RePEc:eee:energy:v:214:y:2021:i:c:s0360544220320429
    DOI: 10.1016/j.energy.2020.118935
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    5. Guo, Zixi & Zhao, Jinzhou & You, Zhenjiang & Li, Yongming & Zhang, Shu & Chen, Yiyu, 2021. "Prediction of coalbed methane production based on deep learning," Energy, Elsevier, vol. 230(C).
    6. Huang, Qiang & Shen, Jian & Zhang, Bing & Zhao, Gang & Cheng, Ming & Cai, Ying & Li, Chao, 2023. "Real-time monitoring of coalbed methane production network following liquid CO2 injection in a low-efficiency well network: Response to gas and water production characteristics," Energy, Elsevier, vol. 285(C).
    7. Zhao, Weizhong & Su, Xianbo & Xia, Daping & Hou, Shihui & Wang, Qian & Zhou, Yixuan, 2022. "Enhanced coalbed methane recovery by the modification of coal reservoir under the supercritical CO2 extraction and anaerobic digestion," Energy, Elsevier, vol. 259(C).
    8. Wen, Hu & Mi, Wansheng & Fan, Shixing & Liu, Mingyang & Cheng, Xiaojiao & Wang, Hu, 2023. "Determining the reasonable volume required to inject liquid CO2 into a single hole and displace CH4 within the coal seam in bedding boreholes: case study of SangShuPing coal mine," Energy, Elsevier, vol. 266(C).
    9. Sun, Fengrui & Liu, Dameng & Cai, Yidong & Qiu, Yongkai, 2023. "Coal rank-pressure coupling control mechanism on gas adsorption/desorption in coalbed methane reservoirs," Energy, Elsevier, vol. 270(C).

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