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Probing fractured reservoir of enhanced geothermal systems with fuzzy-genetic inversion model: Impacts of geothermal reservoir environment

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  • Zhou, Chunwei
  • Liu, Gang
  • Liao, Shengming

Abstract

Our previous study (Zhou et al., 2023) proposed a fuzzy inference model to inverse the predominant flow area in fractured reservoirs. Yet, geothermal reservoir parameters in the direction problem model are hard to make exactly consistent with the actual parameters. This study aims to discuss the impacts of discrepancies between actual geothermal reservoir environment and simulated reservoir environment on the inversion results. An inversion model (including direction problem model, fuzzy inference model, and genetic algorithm) is established to explore the location of predominant flow area under different guess geothermal reservoir environments. The effects of running time, guess reservoir environment (temperature field, pressure field, and Hot Dry Rock property) and guess predominant fracture area property on inversion results are studied. Results show that longer running time can obtain good inversion results, and the inversion speed decreases as running time increases. In addition, the inversion model has good inversion accuracy under different guess geothermal reservoir environments. Lastly, the inversion accuracy is very poor when the guess permeability of predominant fracture area is extremely low. However, the inversion model still needs improvement in the initial stage. It cannot inverse the location of predominant flow area when the running time is less than 1×107 s.

Suggested Citation

  • Zhou, Chunwei & Liu, Gang & Liao, Shengming, 2024. "Probing fractured reservoir of enhanced geothermal systems with fuzzy-genetic inversion model: Impacts of geothermal reservoir environment," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544224000914
    DOI: 10.1016/j.energy.2024.130320
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    References listed on IDEAS

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    1. Chen, Tairu & Liu, Gang & Liao, Shengming, 2019. "Impacts of boundary conditions on reservoir numerical simulation and performance prediction of enhanced geothermal systems," Energy, Elsevier, vol. 181(C), pages 202-213.
    2. Zheng, Shuai & Li, Sanbai & Zhang, Dongxiao, 2021. "Fluid and heat flow in enhanced geothermal systems considering fracture geometrical and topological complexities: An extended embedded discrete fracture model," Renewable Energy, Elsevier, vol. 179(C), pages 163-178.
    3. Lu, Shyi-Min, 2018. "A global review of enhanced geothermal system (EGS)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2902-2921.
    4. Domra Kana, Janvier & Djongyang, Noël & Danwe Raïdandi, & Njandjock Nouck, Philippe & Abdouramani Dadjé,, 2015. "A review of geophysical methods for geothermal exploration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 87-95.
    5. 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.
    6. 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.
    7. Liu, Gang & Zhou, Chunwei & Rao, Zhenghua & Liao, Shengming, 2021. "Impacts of fracture network geometries on numerical simulation and performance prediction of enhanced geothermal systems," Renewable Energy, Elsevier, vol. 171(C), pages 492-504.
    8. Zhang, Chao & Jiang, Guangzheng & Jia, Xiaofeng & Li, Shengtao & Zhang, Shengsheng & Hu, Di & Hu, Shengbiao & Wang, Yibo, 2019. "Parametric study of the production performance of an enhanced geothermal system: A case study at the Qiabuqia geothermal area, northeast Tibetan plateau," Renewable Energy, Elsevier, vol. 132(C), pages 959-978.
    9. Guo, Tiankui & Tang, Songjun & Sun, Jiang & Gong, Facheng & Liu, Xiaoqiang & Qu, Zhanqing & Zhang, Wei, 2020. "A coupled thermal-hydraulic-mechanical modeling and evaluation of geothermal extraction in the enhanced geothermal system based on analytic hierarchy process and fuzzy comprehensive evaluation," Applied Energy, Elsevier, vol. 258(C).
    10. 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.
    11. Han, Songcai & Cheng, Yuanfang & Gao, Qi & Yan, Chuanliang & Zhang, Jincheng, 2020. "Numerical study on heat extraction performance of multistage fracturing Enhanced Geothermal System," Renewable Energy, Elsevier, vol. 149(C), pages 1214-1226.
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