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2024 Vol. 12, No. 2
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Wang Xin, Zhou Guo-qiang, Liu Yan-guang, Zhang Ying-nan, Wei Mei-hua, Bian Kai. 2024. Research progress on temperature field evolution of hot reservoirs under low-temperature tailwater reinjection. Journal of Groundwater Science and Engineering, 12(2): 205-222. doi: 10.26599/JGSE.2024.9280016
Citation: Wang Xin, Zhou Guo-qiang, Liu Yan-guang, Zhang Ying-nan, Wei Mei-hua, Bian Kai. 2024. Research progress on temperature field evolution of hot reservoirs under low-temperature tailwater reinjection. Journal of Groundwater Science and Engineering, 12(2): 205-222. doi: 10.26599/JGSE.2024.9280016
shu

Research progress on temperature field evolution of hot reservoirs under low-temperature tailwater reinjection

  • 1.

    School of Earth science and Engineering, Hebei University of Engineering, Handan 056038, Hebei, China

  • 2.

    Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China

  • 3.

    Technology Innovation Center of Geothermal & Hot Dry Rock Exploration and Development, Ministry of Natural Resources, Shijiazhuang 050061, China

  • 4.

    Shanxi Key Laboratory for Exploration and Exploitation of Geothermal Resources, Taiyuan 030024, China

  • 5.

    Shanxi Geological Engineering Exploration Institute, Taiyuan 030024, China

More Information
Received Date:  23 October 2023
Accepted Date:  15 April 2024
Available Online:  10 June 2024
Publish Date:  30 June 2024
    Abstract

  • This paper focuses on the study of the evolutionary mechanism governing the temperature field of geothermal reservoir under low-temperature tailwater reinjection conditions, which is crucial for the sustainable geothermal energy management. With advancing exploitation of geothermal resources deepens, precise understanding of this mechanism becomes paramount for devising effective reinjection strategies, optimizing reservoir utilization, and bolstering the economic viability of geothermal energy development. The article presents a comprehensive review of temperature field evolution across diverse heterogeneous thermal reservoirs under low-temperature tailwater reinjection conditions, and analyzes key factors influencing this evolution. It evaluates existing research methods, highlighting their strengths and limitations. The study identifies gaps in the application of rock seepage and heat transfer theories on a large scale, alongside the need for enhanced accuracy in field test results, particularly regarding computational efficiency of fractured thermal reservoir models under multi-well reinjection conditions. To address these shortcomings, the study proposes conducting large-scale rock seepage and heat transfer experiments, coupled with multi-tracer techniques for field testing, aimed at optimizing fractured thermal reservoir models' computational efficiency under multi-well reinjection conditions. Additionally, it suggests integrating deep learning methods into research endeavors. These initiatives are of significance in deepening the understanding of the evolution process of the temperature field in deep thermal reservoirs and enhancing the sustainability of deep geothermal resource development.

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