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

Journal of Groundwater Science and Engineering 2024年第2期12卷 205-222页

作者： Xin Wang Guo-qiang Zhou Yan-guang Liu Ying-nan Zhang Mei-hua Wei Kai Bian School of Earth science and Engineering Hebei University of EngineeringHandan 056038HebeiChina Institute of Hydrogeology and Environmental Geology Chinese Academy of Geological SciencesShijiazhuang 050061China Technology Innovation Center of Geothermal&Hot Dry Rock Exploration and Development Ministry of Natural ResourcesShijiazhuang 050061China Shanxi Key Laboratory for Exploration and Exploitation of Geothermal Resources Taiyuan 030024China Shanxi Geological Engineering Exploration Institute Taiyuan 030024China

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 *** 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 *** 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 *** evaluates existing research methods,highlighting their strengths and *** 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 *** 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 ***,it suggests integrat-ing deep learning methods into research *** 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

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Progress on heat transfer in Fractures of Hot Dry Rock Enhanced Geothermal System

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Energy Engineering 2021年第4期118卷 797-823页

作者： Yiya Wang Hailong Yu Shucheng Wu Li Liu Liuyang Huang Baozhong Zhu Yunlan Sun Enhai Liu School of Petroleum Engineering Changzhou UniversityChangzhouChina

Hot Dry Rock(HDR)is the most potential renewable geothermal energy in the *** Geothermal System(EGS)is the most effective method for the development and utilization of HDR resources,and fractures are the main flow channels and one of the most important conditions for studying heat transfer process of ***,the heat transfer process and the heat transfer mechanism in fractures of EGS have been the hot spots of *** to the particularity of the mathematical models of heat transfer,research in this field has been at an exploratory stage,and its methods are mainly experimental tests and numerical *** paper introduces the progress on heat transfer in fractures of Hot Dry Rock EGS in detail,provides a comparative analysis of the research results and prospects for future research directions:It is suggested that relevant scholars should further study the mathematical equations which are applicable to engineering construction of seepage heat transfer in irregular fractures of the rock mass,the unsteady heat transfer process between multiple fractures of the rock mass and the heat transfer mechanism of the complex three-dimensional models of EGS.

关键词： Hot Dry Rock seepage heat transfer mathematical equations numerical simulation fractures

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