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A Novel Numerical Method for Geothermal Reservoirs Embedded with Fracture Networks and Parameter Optimization for Power Generation

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  • Xufeng Yan

    (State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China)

  • Kangsheng Xue

    (State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China)

  • Xiaobo Liu

    (State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China)

  • Xiaolou Chi

    (State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan 232001, China)

Abstract

Geothermal recovery involves a coupled thermo-hydro-mechanical (THM) process in fractured rocks. A fluid transient equilibrium equation, considering thermal conduction, convection, and heat exchange, is established. The evolution of the reservoir permeability and the variance in the fracture aperture due to a change in the stress field are derived simultaneously. THM coupling is accomplished through iterative hydromechanical and thermo-hydro processes. To overcome the difficulty of geometric discretization, a three-dimensional THM coupler model embedded with discrete fracture networks, using a zero-thickness surface and line elements to simulate fractures and injection/production wells, is established to evaluate the geothermal production. The reliability of the method is verified by a case study. Then, this method is applied to evaluate the influence of the geometric topological characteristics of fracture networks and the fracture aperture on the reservoir temperature evolution and heat extraction effectiveness. The results show that the power generation efficiency and geothermal depletion rate are significantly affected by the injection–production pressure. Injection wells and production wells with pressures higher than the initial fluid pressure in the fractures can be used to significantly increase power generation, but the consumption of geothermal energy and loss of efficiency are significant and rapid. To achieve better benefits for the geothermal recovery system, an optimization algorithm based on simultaneous perturbation stochastic approximation (SPSA) is proposed; it takes the power generation efficiency as the objective function, and the corresponding program is developed using MATLAB to optimize the position and pressure values for each production well. The results show that the heat transfer for the entire EGS reservoir becomes more uniform after optimization, and the heat transfer efficiency is greatly improved.

Suggested Citation

  • Xufeng Yan & Kangsheng Xue & Xiaobo Liu & Xiaolou Chi, 2023. "A Novel Numerical Method for Geothermal Reservoirs Embedded with Fracture Networks and Parameter Optimization for Power Generation," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9744-:d:1174089
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    References listed on IDEAS

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    1. Zeng, Yu-Chao & Su, Zheng & Wu, Neng-You, 2013. "Numerical simulation of heat production potential from hot dry rock by water circulating through two horizontal wells at Desert Peak geothermal field," Energy, Elsevier, vol. 56(C), pages 92-107.
    2. Willems, C.J.L. & M. Nick, H., 2019. "Towards optimisation of geothermal heat recovery: An example from the West Netherlands Basin," Applied Energy, Elsevier, vol. 247(C), pages 582-593.
    3. Li, Sanbai & Feng, Xia-Ting & Zhang, Dongxiao & Tang, Huiying, 2019. "Coupled thermo-hydro-mechanical analysis of stimulation and production for fractured geothermal reservoirs," Applied Energy, Elsevier, vol. 247(C), pages 40-59.
    4. Zhao, Yangsheng & Feng, Zijun & Feng, Zengchao & Yang, Dong & Liang, Weiguo, 2015. "THM (Thermo-hydro-mechanical) coupled mathematical model of fractured media and numerical simulation of a 3D enhanced geothermal system at 573 K and buried depth 6000–7000 M," Energy, Elsevier, vol. 82(C), pages 193-205.
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