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Utilization of Discrete Fracture Network (DFN) in Modelling and Simulation of a Horizontal Well-Doublet Enhanced Geothermal System (EGS) with Sensitivity Analysis of Key Production Parameters

Author

Listed:
  • Damian Janiga

    (Department of Petroleum Engineering, Faculty of Drilling, Oil and Gas, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland)

  • Jakub Kwaśnik

    (Department of Petroleum Engineering, Faculty of Drilling, Oil and Gas, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland)

  • Paweł Wojnarowski

    (Department of Petroleum Engineering, Faculty of Drilling, Oil and Gas, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland)

Abstract

Projects that feature unconventional geothermal systems are complex and come at great investment risk and high project cost. The purpose of this work is to present a method for modelling an enhanced geothermal system (EGS) that utilizes a horizontal well-doublet setup. The proposed wells’ positioning was to minimize one of the biggest cost factors: the flow rate. As a part of the research, a case study was conducted and a fully coupled EGS model prepared, based on the data from the Utah FORGE site. The model includes a discrete fracture network (DFN) that represents hydraulic fractures and a stimulated reservoir volume (SRV) for controlling the fractures’ properties. The model’s viability was checked by a series of reservoir simulations, which provided the results for sensitivity analysis of the production parameters. Analysis of the results was conducted based on the temperature decline over an EGS system lifetime, which is one of the primary indicators for EGS. The proposed solution allowed for effectively minimising the injection and production flow rate while maintaining reasonable temperature drawdown levels. It was proven that reservoir modelling and simulation tools, used in the oil and gas industry, can be successfully applied for modelling geothermal systems.

Suggested Citation

  • Damian Janiga & Jakub Kwaśnik & Paweł Wojnarowski, 2022. "Utilization of Discrete Fracture Network (DFN) in Modelling and Simulation of a Horizontal Well-Doublet Enhanced Geothermal System (EGS) with Sensitivity Analysis of Key Production Parameters," Energies, MDPI, vol. 15(23), pages 1-19, November.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9020-:d:987289
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    References listed on IDEAS

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    1. Xu, Tianfu & Yuan, Yilong & Jia, Xiaofeng & Lei, Yude & Li, Shengtao & Feng, Bo & Hou, Zhaoyun & Jiang, Zhenjiao, 2018. "Prospects of power generation from an enhanced geothermal system by water circulation through two horizontal wells: A case study in the Gonghe Basin, Qinghai Province, China," Energy, Elsevier, vol. 148(C), pages 196-207.
    2. Lu, Shyi-Min, 2018. "A global review of enhanced geothermal system (EGS)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2902-2921.
    3. 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.
    4. Gong, Facheng & Guo, Tiankui & Sun, Wei & Li, Zhaomin & Yang, Bin & Chen, Yimei & Qu, Zhanqing, 2020. "Evaluation of geothermal energy extraction in Enhanced Geothermal System (EGS) with multiple fracturing horizontal wells (MFHW)," Renewable Energy, Elsevier, vol. 151(C), pages 1339-1351.
    5. Cui, Guodong & Ren, Shaoran & Zhang, Liang & Ezekiel, Justin & Enechukwu, Chioma & Wang, Yi & Zhang, Rui, 2017. "Geothermal exploitation from hot dry rocks via recycling heat transmission fluid in a horizontal well," Energy, Elsevier, vol. 128(C), pages 366-377.
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