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An integrated multi-objective optimization method to improve the performance of multilateral-well geothermal system

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  • Song, Guofeng
  • Song, Xianzhi
  • Li, Gensheng
  • Shi, Yu
  • Wang, Gaosheng
  • Ji, Jiayan
  • Xu, Fuqiang
  • Song, Zihao

Abstract

Operational parameters optimization is of great significance to improve overall heat extraction performance from the hydrothermal or enhanced geothermal system. Injection flowrate, injection temperature, and production pressure are several of the easily human-controlled parameters to make the best of limited geothermal resources during the planned life. The net heat power and flow impedance are two contradictory production indexes to be optimized for efficient exploitation of long-term geothermal production. In this study, an integrated approach of finite element, multiple regression, non-dominated sorting genetic algorithm, and the technique for order preference by similarity to ideal solution is proposed and applied to the multilateral-well system to realize the optimization of geothermal development. Firstly, parametric cases coupling with thermal and hydraulic models are analyzed. Then, multiple regression is employed to obtain the net heat power and flow impedance functions considering human-controlled operational parameters and reservoir physical properties. Afterward, the multi-objective optimization algorithm is used to gain the Pareto solution set of injection and production parameters. Finally, the technique for order preference by similarity to ideal solution is employed to select the optimal combination of operational parameters for geothermal extraction. It is concluded that water loss and thermal drawdown are necessarily considered in the optimization process. The proposed approach represents global optimization. Operational parameters for the optimal case are (Qin, Tin, pout) which equal (49.98 °C, 62.21 kg/s, 27.44 MPa) under the conditions of this study. From the comparison between the base case and optimal case, it is observed that horizontal spread length, 2D swept area and 3D swept volume of the low-temperature scope is reduced by 77.9 m, 10 × 104 m2, and 16 × 106 m3. Besides, the thermal breakthrough has been delayed by 1.1 years. The water loss decreases by 36.23%. The optimal case demonstrates a great improvement in production performance. Sustainable exploitation is achieved through multi-objective optimization for operational parameters. The proposed method reflects superiority, efficiency, and intelligence in geothermal development.

Suggested Citation

  • Song, Guofeng & Song, Xianzhi & Li, Gensheng & Shi, Yu & Wang, Gaosheng & Ji, Jiayan & Xu, Fuqiang & Song, Zihao, 2021. "An integrated multi-objective optimization method to improve the performance of multilateral-well geothermal system," Renewable Energy, Elsevier, vol. 172(C), pages 1233-1249.
    • Handle: RePEc:eee:renene:v:172:y:2021:i:c:p:1233-1249
    DOI: 10.1016/j.renene.2021.03.073
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    1. Aliyu, Musa D. & Chen, Hua-Peng, 2017. "Sensitivity analysis of deep geothermal reservoir: Effect of reservoir parameters on production temperature," Energy, Elsevier, vol. 129(C), pages 101-113.
    2. 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.
    3. 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.
    4. Yu, Zeting & Su, Ruizhi & Feng, Chunyu, 2020. "Thermodynamic analysis and multi-objective optimization of a novel power generation system driven by geothermal energy," Energy, Elsevier, vol. 199(C).
    5. Shi, Yu & Song, Xianzhi & Shen, Zhonghou & Wang, Gaosheng & Li, Xiaojiang & Zheng, Rui & Geng, Lidong & Li, Jiacheng & Zhang, Shikun, 2018. "Numerical investigation on heat extraction performance of a CO2 enhanced geothermal system with multilateral wells," Energy, Elsevier, vol. 163(C), pages 38-51.
    6. Cheng, Wen-Long & Wang, Chang-Long & Nian, Yong-Le & Han, Bing-Bing & Liu, Jian, 2016. "Analysis of influencing factors of heat extraction from enhanced geothermal systems considering water losses," Energy, Elsevier, vol. 115(P1), pages 274-288.
    7. Lu, Shyi-Min, 2018. "A global review of enhanced geothermal system (EGS)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2902-2921.
    8. Salimzadeh, S. & Grandahl, M. & Medetbekova, M. & Nick, H.M., 2019. "A novel radial jet drilling stimulation technique for enhancing heat recovery from fractured geothermal reservoirs," Renewable Energy, Elsevier, vol. 139(C), pages 395-409.
    9. 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.
    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. Zeng, Yuchao & Tang, Liansheng & Wu, Nengyou & Cao, Yifei, 2017. "Analysis of influencing factors of production performance of enhanced geothermal system: A case study at Yangbajing geothermal field," Energy, Elsevier, vol. 127(C), pages 218-235.
    12. Domenico Giardini, 2009. "Geothermal quake risks must be faced," Nature, Nature, vol. 462(7275), pages 848-849, December.
    13. Han, Chanjuan & Yu, Xiong (Bill), 2016. "Sensitivity analysis of a vertical geothermal heat pump system," Applied Energy, Elsevier, vol. 170(C), pages 148-160.
    14. Panwar, N.L. & Kaushik, S.C. & Kothari, Surendra, 2011. "Role of renewable energy sources in environmental protection: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1513-1524, April.
    15. John W. Lund, 2010. "Direct Utilization of Geothermal Energy," Energies, MDPI, vol. 3(8), pages 1-29, August.
    16. Asai, Pranay & Panja, Palash & McLennan, John & Deo, Milind, 2019. "Effect of different flow schemes on heat recovery from Enhanced Geothermal Systems (EGS)," Energy, Elsevier, vol. 175(C), pages 667-676.
    17. Shi, Yu & Song, Xianzhi & Song, Guofeng, 2021. "Productivity prediction of a multilateral-well geothermal system based on a long short-term memory and multi-layer perceptron combinational neural network," Applied Energy, Elsevier, vol. 282(PA).
    18. Wu, Bisheng & Zhang, Xi & Jeffrey, Robert G. & Bunger, Andrew P. & Jia, Shanpo, 2016. "A simplified model for heat extraction by circulating fluid through a closed-loop multiple-fracture enhanced geothermal system," Applied Energy, Elsevier, vol. 183(C), pages 1664-1681.
    Full references (including those not matched with items on IDEAS)

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    2. Zhai, Haizhen & Jin, Guangrong & Liu, Lihua & Su, Zheng & Zeng, Yuchao & Liu, Jie & Li, Guangyu & Feng, Chuangji & Wu, Nengyou, 2023. "Parametric study of the geothermal exploitation performance from a HDR reservoir through multilateral horizontal wells: The Qiabuqia geothermal area, Gonghe Basin," Energy, Elsevier, vol. 275(C).
    3. Xie, Jingxuan & Wang, Jiansheng, 2022. "Compatibility investigation and techno-economic performance optimization of whole geothermal power generation system," Applied Energy, Elsevier, vol. 328(C).
    4. Wang, Zhipeng & Ning, Zhengfu & Guo, Wenting & Zhan, Jie & Zhang, Yuanxin, 2024. "Study of fracture monitoring and heat extraction evaluation in geothermal reservoir modified by abandoned well pattern: Numerical models and case studies," Energy, Elsevier, vol. 296(C).
    5. Esmaeilpour, Morteza & Gholami Korzani, Maziar & Kohl, Thomas, 2023. "Stochastic performance assessment on long-term behavior of multilateral closed deep geothermal systems," Renewable Energy, Elsevier, vol. 208(C), pages 26-35.
    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).
    7. Song, Guofeng & Song, Xianzhi & Ji, Jiayan & Wu, Xiaoguang & Li, Gensheng & Xu, Fuqiang & Shi, Yu & Wang, Gaosheng, 2022. "Evolution of fracture aperture and thermal productivity influenced by chemical reaction in enhanced geothermal system," Renewable Energy, Elsevier, vol. 186(C), pages 126-142.
    8. Guo, Tiankui & Hao, Tong & Chen, Ming & Zhang, Yuelong & Qu, Zhanqing & Jia, Xuliang & Zhang, Wei & Yu, Haiyang, 2023. "Numerical simulation on Geothermal extraction by radial well assisted hydraulic fracturing," Renewable Energy, Elsevier, vol. 210(C), pages 440-450.
    9. Xu, Fuqiang & Song, Xianzhi & Song, Guofeng & Ji, Jiayan & Song, Zihao & Shi, Yu & Lv, Zehao, 2023. "Numerical studies on heat extraction evaluation and multi-objective optimization of abandoned oil well patterns in intermittent operation mode," Energy, Elsevier, vol. 269(C).
    10. Chen, Guodong & Jiao, Jiu Jimmy & Jiang, Chuanyin & Luo, Xin, 2024. "Surrogate-assisted level-based learning evolutionary search for geothermal heat extraction optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).
    11. Li, Shijie & Liu, Jie & Huang, Wanying & Zhang, Chenghang, 2024. "Numerical simulation of the thermo-hydro-chemical coupling in enhanced geothermal systems: Impact of SiO2 dissolution/precipitation in matrix and fractures," Energy, Elsevier, vol. 290(C).

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