IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i13p3507-d1693679.html
   My bibliography  Save this article

Experimental Technique for Modeling Multi-Field Coupled Transport in Multi-Fracture Geothermal Reservoirs

Author

Listed:
  • Peng Xiao

    (School of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou 730050, China
    School of Engineering, China University of Geosciences, Wuhan 430074, China)

  • Xiaonan Li

    (No. 1 Oil Producing Plant of Qinghai Oil Field, China National Petroleum Corporation, Dunhuang 736202, China)

  • Yu Li

    (No. 1 Oil Producing Plant of Qinghai Oil Field, China National Petroleum Corporation, Dunhuang 736202, China)

  • Bin Chen

    (No. 1 Oil Producing Plant of Qinghai Oil Field, China National Petroleum Corporation, Dunhuang 736202, China)

  • Yudong Tang

    (No. 1 Oil Producing Plant of Qinghai Oil Field, China National Petroleum Corporation, Dunhuang 736202, China)

  • Xiufeng Ge

    (No. 1 Oil Producing Plant of Qinghai Oil Field, China National Petroleum Corporation, Dunhuang 736202, China)

  • Yan Qin

    (Technology Innovation Center for Risk Prevention and Control of Major Project Geosafety, Ministry of Natural Resources, Beijing 10083, China)

  • Hong Tian

    (School of Engineering, China University of Geosciences, Wuhan 430074, China)

  • Jun Zheng

    (School of Engineering, China University of Geosciences, Wuhan 430074, China)

Abstract

In the operation of enhanced geothermal systems (EGSs), complex physical and chemical coupling processes, which are crucial for the efficient exploitation of geothermal energy, are involved. In situ studies of multi-fracture hot dry rocks (HDRs) face significant challenges, leading to a shortage of experimental data for verifying numerical simulations and supporting experimental techniques. In this paper, a multi-field coupling experimental simulation technique was designed for a multi-fracture geothermal reservoir. This technique enables the experimental investigation of the effects of fracture and reservoir characteristics, working fluid parameters, and wellbore arrangement on the multi-field coupling transport mechanism inside geothermal reservoirs during EGS operation. In addition, the practicability and reliability of the experimental technique were proved via a two-dimensional multi-fracture model. The experimental technique addresses a research gap in studying multi-fracture geothermal reservoirs and holds potential to promote substantial progress in geothermal resource exploitation.

Suggested Citation

  • Peng Xiao & Xiaonan Li & Yu Li & Bin Chen & Yudong Tang & Xiufeng Ge & Yan Qin & Hong Tian & Jun Zheng, 2025. "Experimental Technique for Modeling Multi-Field Coupled Transport in Multi-Fracture Geothermal Reservoirs," Energies, MDPI, vol. 18(13), pages 1-14, July.
  • Handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3507-:d:1693679
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/13/3507/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/18/13/3507/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chandrasiri Ekneligoda, Thushan & Min, Ki-Bok, 2014. "Determination of optimum parameters of doublet system in a horizontally fractured geothermal reservoir," Renewable Energy, Elsevier, vol. 65(C), pages 152-160.
    2. Luo, Feng & Xu, Rui-Na & Jiang, Pei-Xue, 2014. "Numerical investigation of fluid flow and heat transfer in a doublet enhanced geothermal system with CO2 as the working fluid (CO2–EGS)," Energy, Elsevier, vol. 64(C), pages 307-322.
    3. 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.
    4. Tso, C.P. & Zhao, J., 1994. "A study in forced convection of water in a single uneven planar rock fracture for geothermal application," Renewable Energy, Elsevier, vol. 4(4), pages 371-375.
    5. Ji, Jiayan & Song, Xianzhi & Song, Guofeng & Xu, Fuqiang & Shi, Yu & Lv, Zehao & Li, Shuang & Yi, Junlin, 2023. "Study on fracture evolution model of the enhanced geothermal system under thermal-hydraulic-chemical-deformation coupling," Energy, Elsevier, vol. 269(C).
    6. Asai, Pranay & Panja, Palash & McLennan, John & Moore, Joseph, 2018. "Performance evaluation of enhanced geothermal system (EGS): Surrogate models, sensitivity study and ranking key parameters," Renewable Energy, Elsevier, vol. 122(C), pages 184-195.
    7. Xiao, Peng & Tian, Hong & Dou, Bin & Zheng, Jun & Shen, Jian & Lu, Bao & Romagnoli, Alessandro & Yang, Lizhong, 2024. "Orthogonal experimental investigation on permeability evolution of unconsolidated sandstones during geothermal fluid reinjection: A case study in the Minghuazhen Formation, Tianjin, China," Energy, Elsevier, vol. 313(C).
    8. 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.
    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. Zhang, Jie & Xie, Jingxuan, 2020. "Effect of reservoir’s permeability and porosity on the performance of cellular development model for enhanced geothermal system," Renewable Energy, Elsevier, vol. 148(C), pages 824-838.
    2. Chen, Yun & Ma, Guowei & Wang, Huidong & Li, Tuo & Wang, Yang & Sun, Zizheng, 2020. "Optimizing heat mining strategies in a fractured geothermal reservoir considering fracture deformation effects," Renewable Energy, Elsevier, vol. 148(C), pages 326-337.
    3. Ding, Junfeng & Wang, Shimin, 2018. "2D modeling of well array operating enhanced geothermal system," Energy, Elsevier, vol. 162(C), pages 918-932.
    4. Zhou, Luming & Zhu, Zhende & Xie, Xinghua & Hu, Yunjin, 2022. "Coupled thermal–hydraulic–mechanical model for an enhanced geothermal system and numerical analysis of its heat mining performance," Renewable Energy, Elsevier, vol. 181(C), pages 1440-1458.
    5. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Liu, Zhaoyi & Li, Hao & Shi, Erxiu & Zhang, Haijun, 2020. "Numerical simulation study on the heat extraction performance of multi-well injection enhanced geothermal system," Renewable Energy, Elsevier, vol. 151(C), pages 782-795.
    6. 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.
    7. 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).
    8. 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).
    9. Qiao, Mingzheng & Jing, Zefeng & Feng, Chenchen & Li, Minghui & Chen, Cheng & Zou, Xupeng & Zhou, Yujuan, 2024. "Review on heat extraction systems of hot dry rock: Classifications, benefits, limitations, research status and future prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 196(C).
    10. Zhang, Qitao & Dahi Taleghani, Arash, 2023. "Autonomous fracture flow tunning to enhance efficiency of fractured geothermal systems," Energy, Elsevier, vol. 281(C).
    11. 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.
    12. Shi, Yu & Song, Xianzhi & Wang, Gaosheng & Li, Jiacheng & Geng, Lidong & Li, Xiaojiang, 2019. "Numerical study on heat extraction performance of a multilateral-well enhanced geothermal system considering complex hydraulic and natural fractures," Renewable Energy, Elsevier, vol. 141(C), pages 950-963.
    13. 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.
    14. Yu Wang & Tianfu Xu & Yuxiang Cheng & Guanhong Feng, 2022. "Prospects for Power Generation of the Doublet Supercritical Geothermal System in Reykjanes Geothermal Field, Iceland," Energies, MDPI, vol. 15(22), pages 1-15, November.
    15. Shi, Yu & Song, Xianzhi & Wang, Gaosheng & McLennan, John & Forbes, Bryan & Li, Xiaojiang & Li, Jiacheng, 2019. "Study on wellbore fluid flow and heat transfer of a multilateral-well CO2 enhanced geothermal system," Applied Energy, Elsevier, vol. 249(C), pages 14-27.
    16. Lin, David T.W. & Hsieh, Jui Ching & Shih, Bo Yen, 2019. "The optimization of geothermal extraction based on supercritical CO2 porous heat transfer model," Renewable Energy, Elsevier, vol. 143(C), pages 1162-1171.
    17. Xiangcheng Que & Shu Zhu & Bei Han, 2025. "Data-Driven Visualization of the Dynamics of Geothermal Energy and Hot Dry Rock Research," Energies, MDPI, vol. 18(9), pages 1-24, May.
    18. Ma, Yuanyuan & Li, Shibin & Zhang, Ligang & Liu, Songze & Wang, Ming, 2023. "Heat extraction performance evaluation of U-shaped well geothermal production system under different well-layout parameters and engineering schemes," Renewable Energy, Elsevier, vol. 203(C), pages 473-484.
    19. Xie, Jingxuan & Wang, Jiansheng, 2022. "Compatibility investigation and techno-economic performance optimization of whole geothermal power generation system," Applied Energy, Elsevier, vol. 328(C).
    20. Xin-Yue Duan & Di Huang & Wen-Xian Lei & Shi-Chao Chen & Zhao-Qin Huang & Chuan-Yong Zhu, 2023. "Investigation of Heat Extraction in an Enhanced Geothermal System Embedded with Fracture Networks Using the Thermal–Hydraulic–Mechanical Coupling Model," Energies, MDPI, vol. 16(9), pages 1-19, April.

    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:gam:jeners:v:18:y:2025:i:13:p:3507-:d:1693679. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.