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A Method for Determining Target Areas of Hot Dry Rock Resources: A Case Study in Continental China

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  • Yaqi Wang

    (State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
    Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100029, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yibo Wang

    (State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
    Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100029, China)

  • Guangzheng Jiang

    (College of Energy, Chengdu University of Technology, Chengdu 610059, China)

  • Jie Hu

    (State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Chengdu University of Technology, Chengdu 610059, China)

  • Yizuo Shi

    (Research Institute of Petroleum Exploration and Development, China National Petroleum Corporation (CNPC), Beijing 100081, China)

  • Shejiao Wang

    (PetroChina Shenzhen New Energy Research Institute Co., Ltd., Shenzhen 518054, China)

  • Shengbiao Hu

    (State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
    Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100029, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

Geothermal resources have been recognized as important sources of clean renewable energy. The exploration, development, and utilization of geothermal resources, especially hot dry rock (HDR) resources, are highly important for achieving peak carbon and carbon neutrality. However, there is no comprehensive evaluation method for determining HDR target areas, and the evaluation scale and application disciplines are relatively simplistic. In this paper, we sought to optimize the identification of HDR target areas through a multiscale and multidisciplinary method and formed a set of generalized and demonstrative processes to guide the exploration of HDR resources. Through practical application to the Gonghe Basin and the Zhangzhou Basin, it was found that the comprehensive geothermal conditions of the Gonghe Basin are superior to those of the Zhangzhou Basin, and the geothermal reservoir depth, geothermal reservoir temperature, geothermal gradient, and heat flow are the four most important factors affecting hot dry rock geothermal resources. Using this method, the prioritization of target areas changes from a qualitative study to a quantitative and semiquantitative study, increasing the specificity and reliability of the decision-making process.

Suggested Citation

  • Yaqi Wang & Yibo Wang & Guangzheng Jiang & Jie Hu & Yizuo Shi & Shejiao Wang & Shengbiao Hu, 2024. "A Method for Determining Target Areas of Hot Dry Rock Resources: A Case Study in Continental China," Energies, MDPI, vol. 17(10), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:10:p:2435-:d:1397813
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    References listed on IDEAS

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    1. Lund, Henrik, 2007. "Renewable energy strategies for sustainable development," Energy, Elsevier, vol. 32(6), pages 912-919.
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    Cited by:

    1. Yaqi Wang & Yibo Wang & Guangzheng Jiang & Jie Hu & Shengbiao Hu, 2025. "High-Quality Heat Flow Determination from Coastal Areas of Fujian Province, China," Energies, MDPI, vol. 18(7), pages 1-16, March.
    2. Yilong Yuan & Xinli Zhang & Han Yu & Chenghao Zhong & Yu Wang & Dongguang Wen & Tianfu Xu & Fabrizio Gherardi, 2025. "Research Progress and Technical Challenges of Geothermal Energy Development from Hot Dry Rock: A Review," Energies, MDPI, vol. 18(7), pages 1-28, March.
    3. Wang, Song & Zhang, Luqing & Zhou, Jian & Yang, Duoxing & Han, Zhenhua & Kong, Yanlong, 2024. "Quantitative analysis of fracture network geometry on fluid flow and heat transfer in hot dry rock geothermal reservoirs," Energy, Elsevier, vol. 313(C).

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