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Simulation of CO2 enhanced coalbed methane recovery in Jharia coalfields, India

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  • Vishal, Vikram
  • Mahanta, Bankim
  • Pradhan, S.P.
  • Singh, T.N.
  • Ranjith, P.G.

Abstract

Coalbed methane production in Jharia coalfield that lies in India's largest coal basin is underway since a few years now; however, no field-trial of CO2 enhanced coalbed methane (ECBM) recovery has been attempted till date. In this study, a detailed assessment of the techno-feasibility of long-term ECBM recovery for a coal block in Jharia coalfield was conducted using finite difference based numerical simulations. This was followed by a detailed comparative analysis with the performance of another key CBM producing block in Raniganj coal field (Vishal et al. [1]). During coupled CO2‒ECBM recovery, a significant enhancement in the amount of production of CH4 resulted due to the injection of CO2. Approximately, 220 Mm3 of CO2 was injected in the coal block and over 62 Mm3 of CH4 was recovered during the period of study. Upon comparison of the studied coal blocks, it can be well inferred that during the major dewatering stage, the rate of CO2 injection in Jharia block was lower as compared to that in the Raniganj coal block. The studied coal adsorb CO2 quickly and within a time span of nearly one year, peak CO2 matrix concentration near the injection well was achieved, indicating high adsorption potential for CO2.

Suggested Citation

  • Vishal, Vikram & Mahanta, Bankim & Pradhan, S.P. & Singh, T.N. & Ranjith, P.G., 2018. "Simulation of CO2 enhanced coalbed methane recovery in Jharia coalfields, India," Energy, Elsevier, vol. 159(C), pages 1185-1194.
    • Handle: RePEc:eee:energy:v:159:y:2018:i:c:p:1185-1194
    DOI: 10.1016/j.energy.2018.06.104
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    References listed on IDEAS

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    1. Saini, Varinder & Gupta, Ravi P. & Arora, Manoj K., 2016. "Environmental impact studies in coalfields in India: A case study from Jharia coal-field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1222-1239.
    2. Vishal, V. & Singh, Lokendra & Pradhan, S.P. & Singh, T.N. & Ranjith, P.G., 2013. "Numerical modeling of Gondwana coal seams in India as coalbed methane reservoirs substituted for carbon dioxide sequestration," Energy, Elsevier, vol. 49(C), pages 384-394.
    3. Nair Rajesh & P.R. Shukla & Manmohan Kapshe & Amit Garg & Ashish Rana, 2003. "Analysis of Long-term Energy and Carbon Emission Scenarios for India," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 8(1), pages 53-69, March.
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    Cited by:

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    3. Zhou, Lijun & Zhou, Xihua & Fan, Chaojun & Bai, Gang, 2022. "Coal permeability evolution triggered by variable injection parameters during gas mixture enhanced methane recovery," Energy, Elsevier, vol. 252(C).
    4. 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).
    5. Wang, Ziwei & Qin, Yong & Shen, Jian & Li, Teng & Zhang, Xiaoyang & Cai, Ying, 2022. "A novel permeability prediction model for coal based on dynamic transformation of pores in multiple scales," Energy, Elsevier, vol. 257(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. Zhang, Kai & Lau, Hon Chung & Bokka, Harsha Kumar & Hadia, Nanji J., 2022. "Decarbonizing the power and industry sectors in India by carbon capture and storage," Energy, Elsevier, vol. 249(C).
    8. Min, Chao & Wen, Guoquan & Gou, Liangjie & Li, Xiaogang & Yang, Zhaozhong, 2023. "Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing," Energy, Elsevier, vol. 285(C).

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