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Optimizing heat mining strategies in a fractured geothermal reservoir considering fracture deformation effects

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  • Chen, Yun
  • Ma, Guowei
  • Wang, Huidong
  • Li, Tuo
  • Wang, Yang
  • Sun, Zizheng

Abstract

A coupled thermo-hydro model is developed for optimizing heat mining strategies in a fractured geothermal reservoir by incorporating material compressibility and fracture deformation. Governing equations for the three-dimensional fluid flow and heat transmission processes in terms of local thermal non-equilibrium concept are discretized using a unified pipe network method. The influence of fracture deformation on the distribution of fluid temperature is investigated using a near-wellbore reservoir model. The development optimization of a geothermal reservoir at Groβ Schönebeck is performed by evaluating heat production over 60 years. Several strategies are designed that involve changing the arrangement of a new horizontal wellbore and hydraulic stimulations. Simulation results for the different strategies, including the outlet fluid temperature drawdown, thermal breakthrough time, and net heat extraction rate, are analysed. Strategies with poor fracture connections feature relatively low flow rates and accumulated thermal production. Strategy 3 to Strategy 6 greatly improve the accumulated thermal production by enhancing fluid circulation in fracture-connected systems. Heat mining efficiency can be improved if a new wellbore is designed in the high-permeability formation and the discontinuities maintain high hydraulic connectivity for fluid circulation. This study provides a numerical method for optimizing geothermal development strategies in terms of economic benefits.

Suggested Citation

  • Chen, Yun & Ma, Guowei & Wang, Huidong & Li, Tuo & Wang, Yang & Sun, Zizheng, 2020. "Optimizing heat mining strategies in a fractured geothermal reservoir considering fracture deformation effects," Renewable Energy, Elsevier, vol. 148(C), pages 326-337.
    • Handle: RePEc:eee:renene:v:148:y:2020:i:c:p:326-337
    DOI: 10.1016/j.renene.2019.10.037
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    1. Jiang, Fangming & Chen, Jiliang & Huang, Wenbo & Luo, Liang, 2014. "A three-dimensional transient model for EGS subsurface thermo-hydraulic process," Energy, Elsevier, vol. 72(C), pages 300-310.
    2. Wang, Yi & Zhang, Liang & Cui, Guodong & Kang, Jun & Ren, Shaoran, 2019. "Geothermal development and power generation by circulating water and isobutane via a closed-loop horizontal well from hot dry rocks," Renewable Energy, Elsevier, vol. 136(C), pages 909-922.
    3. Samin, Maleaha Y. & Faramarzi, Asaad & Jefferson, Ian & Harireche, Ouahid, 2019. "A hybrid optimisation approach to improve long-term performance of enhanced geothermal system (EGS) reservoirs," Renewable Energy, Elsevier, vol. 134(C), pages 379-389.
    4. Aliyu, Musa D. & Chen, Hua-Peng, 2018. "Enhanced geothermal system modelling with multiple pore media: Thermo-hydraulic coupled processes," Energy, Elsevier, vol. 165(PA), pages 931-948.
    5. Luo, Feng & Xu, Rui-Na & Jiang, Pei-Xue, 2014. "Numerical investigation of fluid flow and heat transfer in a doublet enhanced geothermal system with CO2 as the working fluid (CO2–EGS)," Energy, Elsevier, vol. 64(C), pages 307-322.
    6. Zhang, Liang & Li, Xin & Zhang, Yin & Cui, Guodong & Tan, Chunyang & Ren, Shaoran, 2017. "CO2 injection for geothermal development associated with EGR and geological storage in depleted high-temperature gas reservoirs," Energy, Elsevier, vol. 123(C), pages 139-148.
    7. Biagi, James & Agarwal, Ramesh & Zhang, Zheming, 2015. "Simulation and optimization of enhanced geothermal systems using CO2 as a working fluid," Energy, Elsevier, vol. 86(C), pages 627-637.
    8. Xu, Chaoshui & Dowd, Peter Alan & Tian, Zhao Feng, 2015. "A simplified coupled hydro-thermal model for enhanced geothermal systems," Applied Energy, Elsevier, vol. 140(C), pages 135-145.
    9. Hou, Jianchao & Cao, Mengchao & Liu, Pingkuo, 2018. "Development and utilization of geothermal energy in China: Current practices and future strategies," Renewable Energy, Elsevier, vol. 125(C), pages 401-412.
    10. Sun, Zhi-xue & Zhang, Xu & Xu, Yi & Yao, Jun & Wang, Hao-xuan & Lv, Shuhuan & Sun, Zhi-lei & Huang, Yong & Cai, Ming-yu & Huang, Xiaoxue, 2017. "Numerical simulation of the heat extraction in EGS with thermal-hydraulic-mechanical coupling method based on discrete fractures model," Energy, Elsevier, vol. 120(C), pages 20-33.
    11. Song, Xianzhi & Shi, Yu & Li, Gensheng & Yang, Ruiyue & Wang, Gaosheng & Zheng, Rui & Li, Jiacheng & Lyu, Zehao, 2018. "Numerical simulation of heat extraction performance in enhanced geothermal system with multilateral wells," Applied Energy, Elsevier, vol. 218(C), pages 325-337.
    12. Huang, Wenbo & Cao, Wenjiong & Jiang, Fangming, 2018. "A novel single-well geothermal system for hot dry rock geothermal energy exploitation," Energy, Elsevier, vol. 162(C), pages 630-644.
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    Cited by:

    1. Thomas Heinze & Nicola Pastore, 2023. "Velocity-dependent heat transfer controls temperature in fracture networks," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    2. Heinze, Thomas, 2021. "Constraining the heat transfer coefficient of rock fractures," Renewable Energy, Elsevier, vol. 177(C), pages 433-447.
    3. Marina Iorio & Alberto Carotenuto & Alfonso Corniello & Simona Di Fraia & Nicola Massarotti & Alessandro Mauro & Renato Somma & Laura Vanoli, 2020. "Low Enthalpy Geothermal Systems in Structural Controlled Areas: A Sustainability Analysis of Geothermal Resource for Heating Plant (The Mondragone Case in Southern Appennines, Italy)," Energies, MDPI, vol. 13(5), pages 1-26, March.
    4. Zhu, Jingyun & Liu, Guannan & Luo, Ning & Gu, Jiayi & Liu, Hu & Ye, Dayu, 2023. "A new fractal model for quantitatively investigating the contribution of microstructural evolution to geothermal extraction," Renewable Energy, Elsevier, vol. 211(C), pages 42-54.
    5. Wu, Xiaotian & Yu, Likui & Hassan, N.M.S. & Ma, Weiwu & Liu, Gang, 2021. "Evaluation and optimization of heat extraction in enhanced geothermal system via failure area percentage," Renewable Energy, Elsevier, vol. 169(C), pages 204-220.
    6. Wang, Jiacheng & Zhao, Zhihong & Liu, Guihong & Xu, Haoran, 2022. "A robust optimization approach of well placement for doublet in heterogeneous geothermal reservoirs using random forest technique and genetic algorithm," Energy, Elsevier, vol. 254(PC).

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