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Numerical simulation and production prediction assessment of Takigami geothermal reservoir

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  • Jalilinasrabady, Saeid
  • Tanaka, Toshiaki
  • Itoi, Ryuichi
  • Goto, Hiroki

Abstract

A numerical model was developed for the Takigami geothermal reservoir. A conceptual model of the field was constructed, initial and boundary conditions were defined according to available data. For the optimum model, permeability values of assigned rock types, mass flow rates, enthalpies, and locations of recharge zones were estimated according to matching between computed temperature for wells and their temperature profiles before the exploitation. Observed and calculated temperature profiles confirmed the validity of the conceptual model. The best model could successfully reproduce the initial temperature profiles of 13 wells located mainly in the production area. A developed model was used as an initial model for future prediction of the reservoir performance. The prediction simulation was conducted by assuming two different development scenarios for the Takigami geothermal power plant. Scenario I was continuing the current power production. Scenario II was to investigate producing 8.6 MWe more electricity by employing bottoming binary cycle to the currently under operation single flash plant. Effects of production and reinjection temperatures under proposed development scenarios were evaluated. Simulation results indicated that most probably there is no direct interaction between reinjection and production zones in the Takigami reservoir, and installing a binary plant will not have any severe impact on reservoir performance.

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  • Jalilinasrabady, Saeid & Tanaka, Toshiaki & Itoi, Ryuichi & Goto, Hiroki, 2021. "Numerical simulation and production prediction assessment of Takigami geothermal reservoir," Energy, Elsevier, vol. 236(C).
  • Handle: RePEc:eee:energy:v:236:y:2021:i:c:s0360544221017515
    DOI: 10.1016/j.energy.2021.121503
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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. 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.
    3. Liang, Xu & Xu, Tianfu & Feng, Bo & Jiang, Zhenjiao, 2018. "Optimization of heat extraction strategies in fault-controlled hydro-geothermal reservoirs," Energy, Elsevier, vol. 164(C), pages 853-870.
    4. Kaya, Eylem & Zarrouk, Sadiq J. & O'Sullivan, Michael J., 2011. "Reinjection in geothermal fields: A review of worldwide experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 47-68, January.
    5. Leveni, Martina & Manfrida, Giampaolo & Cozzolino, Raffaello & Mendecka, Barbara, 2019. "Energy and exergy analysis of cold and power production from the geothermal reservoir of Torre Alfina," Energy, Elsevier, vol. 180(C), pages 807-818.
    6. Frick, Stephanie & Kaltschmitt, Martin & Schröder, Gerd, 2010. "Life cycle assessment of geothermal binary power plants using enhanced low-temperature reservoirs," Energy, Elsevier, vol. 35(5), pages 2281-2294.
    7. Dalla Longa, Francesco & Nogueira, Larissa P. & Limberger, Jon & Wees, Jan-Diederik van & van der Zwaan, Bob, 2020. "Scenarios for geothermal energy deployment in Europe," Energy, Elsevier, vol. 206(C).
    8. Jalilinasrabady, Saeid & Palsson, Halldor & Saevarsdottir, Gudrun & Itoi, Ryuichi & Valdimarsson, Pall, 2013. "Experimental and CFD simulation of heat efficiency improvement in geothermal spas," Energy, Elsevier, vol. 56(C), pages 124-134.
    9. Liu, Xiaolei & Falcone, Gioia & Alimonti, Claudio, 2018. "A systematic study of harnessing low-temperature geothermal energy from oil and gas reservoirs," Energy, Elsevier, vol. 142(C), pages 346-355.
    10. Zeng, Yu-Chao & Wu, Neng-You & Su, Zheng & Hu, Jian, 2014. "Numerical simulation of electricity generation potential from fractured granite reservoir through a single horizontal well at Yangbajing geothermal field," Energy, Elsevier, vol. 65(C), pages 472-487.
    11. Noorollahi, Younes & Itoi, Ryuichi, 2011. "Production capacity estimation by reservoir numerical simulation of northwest (NW) Sabalan geothermal field, Iran," Energy, Elsevier, vol. 36(7), pages 4552-4569.
    12. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Liu, Zhaoyi & Li, Hao & Shi, Erxiu, 2020. "Study on the effect of well layout schemes and fracture parameters on the heat extraction performance of enhanced geothermal system in fractured reservoir," Energy, Elsevier, vol. 202(C).
    13. Liu, Guihong & Pu, Hai & Zhao, Zhihong & Liu, Yanguang, 2019. "Coupled thermo-hydro-mechanical modeling on well pairs in heterogeneous porous geothermal reservoirs," Energy, Elsevier, vol. 171(C), pages 631-653.
    14. Tut Haklıdır, Füsun S., 2020. "The importance of long-term well management in geothermal power systems using fuzzy control: A Western Anatolia (Turkey) case study," Energy, Elsevier, vol. 213(C).
    Full references (including those not matched with items on IDEAS)

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