IDEAS home Printed from https://ideas.repec.org/a/eee/renene/v252y2025ics0960148125011802.html

Evolution and response mechanism of geo-temperature field in vertically heterogeneous sandstone geothermal reservoirs to reinjection of cooled geothermal water

Author

Listed:
  • Li, Jialong
  • Kang, Fengxin
  • Qin, Peng
  • Yang, Yabin
  • Zheng, Tingting
  • Chen, Tao
  • Yang, Haitao
  • Feng, Jianguo
  • Bai, Tong
  • Zhang, Ling
  • Sui, Haibo
  • Duan, Xiaofei
  • Liu, Shuai
  • Zhao, Jichu

Abstract

Accurately characterizing the vertical heterogeneity of sandstone geothermal reservoirs and investigating the evolution of the geo-temperature field under doublet technology, which consists of a closed loop with one production well and one reinjection well in a sandstone geothermal reservoir, are of great significance for the sustainable development and utilization of geothermal resources. In this paper, a vertically heterogeneous hydro-thermal coupling numerical model is established based on long-term dynamic monitoring data of water level depth and long-term, full-wellbore temperature dynamic monitoring. The evolution and trends of the geo-temperature field are studied, and the production and reinjection parameters of the doublet technology are optimized. The influences of the stratification characteristics and vertical heterogeneity of the permeability of the sandstone geothermal reservoir on the results are discussed. The results show that the maximum depth of the funnel-shaped regions reaches 102 m below the reservoir floor and 85 m above the roof. When the production and reinjection flow rate (Q) of the doublet system is set to the conventional value of 70 m3/h, the optimal distance (R) between the production and reinjection wells should be at least 350 m. The thermal breakthrough time (t) of the production well increases as a power function with increasing distance (R), following the regression equation tQ = aR2.6. The analysis further indicates that the outlet temperature of the production well increases with the number of the sandstone aquifers. However, when the number of the sandstone aquifers exceeds three, the impact of additional strata (aquifers) on the thermal breakthrough time of the production well becomes relatively small. An increase in the vertical heterogeneity of the permeability causes the thermal breakthrough time to decrease rapidly. For heterogeneous reservoirs, the thermal breakthrough time can be estimated by applying a reduction factor to the results derived for homogeneous reservoirs; this factor follows a power function of the vertical permeability variance (σ2).

Suggested Citation

  • Li, Jialong & Kang, Fengxin & Qin, Peng & Yang, Yabin & Zheng, Tingting & Chen, Tao & Yang, Haitao & Feng, Jianguo & Bai, Tong & Zhang, Ling & Sui, Haibo & Duan, Xiaofei & Liu, Shuai & Zhao, Jichu, 2025. "Evolution and response mechanism of geo-temperature field in vertically heterogeneous sandstone geothermal reservoirs to reinjection of cooled geothermal water," Renewable Energy, Elsevier, vol. 252(C).
  • Handle: RePEc:eee:renene:v:252:y:2025:i:c:s0960148125011802
    DOI: 10.1016/j.renene.2025.123518
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960148125011802
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.renene.2025.123518?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Guiling & Liu, Guihong & Zhao, Zhihong & Liu, Yanguang & Pu, Hai, 2019. "A robust numerical method for modeling multiple wells in city-scale geothermal field based on simplified one-dimensional well model," Renewable Energy, Elsevier, vol. 139(C), pages 873-894.
    2. 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.
    3. Liu, Guihong & Wang, Guiling & Zhao, Zhihong & Ma, Feng, 2020. "A new well pattern of cluster-layout for deep geothermal reservoirs: Case study from the Dezhou geothermal field, China," Renewable Energy, Elsevier, vol. 155(C), pages 484-499.
    4. Rivera Diaz, Alexandre & Kaya, Eylem & Zarrouk, Sadiq J., 2016. "Reinjection in geothermal fields − A worldwide review update," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 105-162.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Shengtao & Wen, Dongguang & Feng, Bo & Li, Fengyu & Yue, Dongdong & Zhang, Qiuxia & Wang, Junzhao & Feng, Zhaolong, 2023. "Numerical optimization of geothermal energy extraction from deep karst reservoir in North China," Renewable Energy, Elsevier, vol. 202(C), pages 1071-1085.
    2. 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).
    3. Zhao, Zhihong & Dou, Zihao & Liu, Guihong & Chen, Sicong & Tan, Xianfeng, 2021. "Equivalent flow channel model for doublets in heterogeneous porous geothermal reservoirs," Renewable Energy, Elsevier, vol. 172(C), pages 100-111.
    4. Liu, Guihong & Zhao, Zhihong & Xu, Haoran & Zhang, Jinping & Kong, Xiangjun & Yuan, Lijuan, 2022. "A robust assessment method of recoverable geothermal energy considering optimal development parameters," Renewable Energy, Elsevier, vol. 201(P1), pages 426-440.
    5. Liao, Jianxing & Xie, Yachen & Zhao, Pengfei & Xia, Kaiwen & Xu, Bin & Wang, Hong & Li, Cunbao & Li, Cong & Liu, Hejuan, 2024. "Probabilistic assessment of the thermal performance of low-enthalpy geothermal system under impact of spatially correlated heterogeneity by using XGBoost algorithms," Energy, Elsevier, vol. 313(C).
    6. Liu, Guihong & Wang, Guiling & Zhao, Zhihong & Ma, Feng, 2020. "A new well pattern of cluster-layout for deep geothermal reservoirs: Case study from the Dezhou geothermal field, China," Renewable Energy, Elsevier, vol. 155(C), pages 484-499.
    7. Kane, Entela & Leeuwenburgh, Olwijn & Joosten, Gerard & Daniilidis, Alexandros & Bruhn, David, 2025. "Flexible well patterns and cashflow optimisation on large-scale geothermal field development," Renewable Energy, Elsevier, vol. 243(C).
    8. Mohammadzadeh Bina, Saeid & Jalilinasrabady, Saeid & Fujii, Hikari & Pambudi, Nugroho Agung, 2018. "Classification of geothermal resources in Indonesia by applying exergy concept," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 499-506.
    9. Lv, YanXin & Fan, Shu & Fang, XiaoYu & Shi, ChangShuai & Liu, Weiji & Gan, Quan & Li, HaiBo, 2025. "Comparative analysis of thermal extraction performance of EGS model with N2O, H2O and CO2 as working fluids based on Voronoi fractures," Renewable Energy, Elsevier, vol. 242(C).
    10. Yu, Ruyang & Zhang, Kai & Ramasubramanian, Brindha & Jiang, Shu & Ramakrishna, Seeram & Tang, Yuhang, 2024. "Ensemble learning for predicting average thermal extraction load of a hydrothermal geothermal field: A case study in Guanzhong Basin, China," Energy, Elsevier, vol. 296(C).
    11. Melikoglu, Mehmet, 2017. "Geothermal energy in Turkey and around the World: A review of the literature and an analysis based on Turkey's Vision 2023 energy targets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 485-492.
    12. Mahmoodpour, Saeed & Singh, Mrityunjay & Turan, Aysegul & Bär, Kristian & Sass, Ingo, 2022. "Simulations and global sensitivity analysis of the thermo-hydraulic-mechanical processes in a fractured geothermal reservoir," Energy, Elsevier, vol. 247(C).
    13. Jalilinasrabady, Saeid & Tanaka, Toshiaki & Itoi, Ryuichi & Goto, Hiroki, 2021. "Numerical simulation and production prediction assessment of Takigami geothermal reservoir," Energy, Elsevier, vol. 236(C).
    14. Madani, Mohammad & Sharifi, Mohammad, 2025. "Effects of permeability heterogeneity on heat extraction performance in geothermal reservoirs with carbon dioxide working fluid," Energy, Elsevier, vol. 324(C).
    15. Quinao, Jaime Jose D. & Zarrouk, Sadiq J., 2018. "Geothermal resource assessment using Experimental Design and Response Surface Methods: The Ngatamariki geothermal field, New Zealand," Renewable Energy, Elsevier, vol. 116(PA), pages 324-334.
    16. Yu, Likui & Wu, Xiaotian & Wang, Yadan & Ma, Weiwu & Liu, Gang, 2020. "Stratified rock hydraulic fracturing for enhanced geothermal system and fracture geometry evaluation via effective length," Renewable Energy, Elsevier, vol. 152(C), pages 713-723.
    17. Xu, Fuqiang & Shi, Yu & Song, Xianzhi & Wu, Wei & Song, Guofeng & Li, Shuang, 2024. "Experimental characterization of damage during geothermal production of hot dry rocks: Comprehensive effects of the damage-elastic deformation on conductivity evolution," Energy, Elsevier, vol. 294(C).
    18. Lyu, Cheng & Zhao, Kai & Cai, Wuqiang & Zhang, Xiao & Deng, Tao & Xiong, Yujiao & Mo, Zuguo, 2025. "A coupled thermo-hydro-mechanical-damage model for salt cavern gas storage under long-term injection-withdrawal operations," Energy, Elsevier, vol. 335(C).
    19. Kaya, Eylem & Callos, Victor & Mannington, Warren, 2018. "CO2 –water mixture reinjection into two-phase liquid dominated geothermal reservoirs," Renewable Energy, Elsevier, vol. 126(C), pages 652-667.
    20. Gudala, Manojkumar & Govindarajan, Suresh Kumar & Yan, Bicheng & Sun, Shuyu, 2022. "Numerical investigations of the PUGA geothermal reservoir with multistage hydraulic fractures and well patterns using fully coupled thermo-hydro-geomechanical modeling," Energy, Elsevier, vol. 253(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:renene:v:252:y:2025:i:c:s0960148125011802. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/renewable-energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.