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Numerical analysis of heat mining and geological carbon sequestration in supercritical CO2 circulating enhanced geothermal systems inlayed with complex discrete fracture networks

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  • Wang, Yang
  • Li, Tuo
  • Chen, Yun
  • Ma, Guowei

Abstract

Enhanced geothermal systems using supercritical CO2 (scCO2-EGS) as working fluid in place of water provides better heat extraction rate and sequestrates CO2 in the formations for reducing atmospheric CO2 content and the greenhouse effect. This paper proposed a numerical three-dimensional fully coupled thermo-hydro-mechanical (THM) model to simulate and evaluate the performances of heat mining and geological carbon sequestration in scCO2-EGS embedded in complex discrete fracture networks. The variable thermophysical properties of supercritical CO2 in response to pressure and temperature are taken into account during the reservoir development. Verification, sensitivity analysis, and convergence for the model are accomplished. The three-spot layout of the practical EGS project at Soultz-sous-Forêts is then simulated using a stochastic DNF model under different operation pressures. The efficiencies and quantities of heat mining, carbon sequestration, and production of electric power for a period of 30 years have been studied and discussed. By verification against analytical solutions, the results demonstrate that the current nuermical model is effective to investigate the details of the multi-physical interactions in scCO2-EGS.

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  • Wang, Yang & Li, Tuo & Chen, Yun & Ma, Guowei, 2019. "Numerical analysis of heat mining and geological carbon sequestration in supercritical CO2 circulating enhanced geothermal systems inlayed with complex discrete fracture networks," Energy, Elsevier, vol. 173(C), pages 92-108.
    • Handle: RePEc:eee:energy:v:173:y:2019:i:c:p:92-108
    DOI: 10.1016/j.energy.2019.02.055
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    6. Shi, Yu & Song, Xianzhi & Wang, Gaosheng & Li, Jiacheng & Geng, Lidong & Li, Xiaojiang, 2019. "Numerical study on heat extraction performance of a multilateral-well enhanced geothermal system considering complex hydraulic and natural fractures," Renewable Energy, Elsevier, vol. 141(C), pages 950-963.
    7. Lin, David T.W. & Hsieh, Jui Ching & Shih, Bo Yen, 2019. "The optimization of geothermal extraction based on supercritical CO2 porous heat transfer model," Renewable Energy, Elsevier, vol. 143(C), pages 1162-1171.
    8. Mahmoodpour, Saeed & Singh, Mrityunjay & Bär, Kristian & Sass, Ingo, 2022. "Thermo-hydro-mechanical modeling of an enhanced geothermal system in a fractured reservoir using carbon dioxide as heat transmission fluid- A sensitivity investigation," Energy, Elsevier, vol. 254(PB).
    9. Wang, Gaosheng & Song, Xianzhi & Yu, Chao & Shi, Yu & Song, Guofeng & Xu, Fuqiang & Ji, Jiayan & Song, Zihao, 2022. "Heat extraction study of a novel hydrothermal open-loop geothermal system in a multi-lateral horizontal well," Energy, Elsevier, vol. 242(C).
    10. Yu, Guojun & Li, Huyu & Liu, Cong & Cheng, Wan & Xu, Huijin, 2023. "Thermal and hydraulic characteristics of a new proposed flyover-crossing fracture configuration for the enhanced geothermal system," Renewable Energy, Elsevier, vol. 211(C), pages 859-873.
    11. Gao, Xiang & Li, Tailu & Meng, Nan & Gao, Haiyang & Li, Xuelong & Gao, Ruizhao & Wang, Zeyu & Wang, Jingyi, 2023. "Supercritical flow and heat transfer of SCO2 in geothermal reservoir under non-Darcy's law combined with power generation from hot dry rock," Renewable Energy, Elsevier, vol. 206(C), pages 428-440.
    12. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Liu, Zhaoyi & Li, Hao & Shi, Erxiu, 2020. "Study on the effect of well layout schemes and fracture parameters on the heat extraction performance of enhanced geothermal system in fractured reservoir," Energy, Elsevier, vol. 202(C).
    13. Liao, Jianxing & Xu, Bin & Mehmood, Faisal & Hu, Ke & Wang, Hong & Hou, Zhengmeng & Xie, Yachen, 2023. "Numerical study of the long-term performance of EGS based on discrete fracture network with consideration of fracture deformation," Renewable Energy, Elsevier, vol. 216(C).

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