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

作　　者：Xin Wang Guo-qiang Zhou Yan-guang Liu Ying-nan Zhang Mei-hua Wei Kai Bian 

机构地区：[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

出　　处：《Journal of Groundwater Science and Engineering》2024年第2期205-222,共18页地下水科学与工程（英文版）

基　　金：funded by the National Nature Science Foundation of China(No.42272350);Scientific research project of Hunan Institute of Geology(No.HNGSTP202211);Hunan Province key research and development project(No.2022SK2070);Geological survey project of Department of Natural Resources of Shanxi Province(No.Jinfencai[2021-0009]G009-C05);the Foundation of Shanxi Key Laboratory for Exploration and Exploitation of Geothermal Resources(No.SX202202).

摘　　要：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 influ-encing 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 effi-ciency 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 integrat-ing 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.

关 键 词：Geothermal reinjection Seepage heat transfer Tracer test Numerical simulation Thermal breakthrough 

分 类 号：P314[天文地球—固体地球物理学] P641[天文地球—地球物理学]