The exploration and utilization of geothermal energy continue to gain prominence as the world seeks sustainable and renewable energy sources. Within this context, the importance of comprehending flow zones and accurately estimating flow rates in geothermal reservoir management cannot be overstated. Current wireline tools for measuring flow rates and constructing flow profiles within geothermal wells often fall short due to the inability of their sensor and electronic components to meet the stringent temperature requirements, a particularly challenging issue in high-temperature geothermal environments. This review delves into existing research and developments concerning the use of Distributed Temperature Sensing for temperature measurement, flow zone identification, flow rate calculation, and flow instability identification within geothermal reservoirs. The review aims to uncover insights into the capabilities and limitations of DTS technology in the geothermal context, paving the way for future research and potential advancements in the field. T Temperature measurement through DTS is examined as a means to achieve continuous and high-resolution temperature profiles in geothermal wells. The review aims to assess the capabilities of DTS in capturing temperature variations within the geothermal wellbore, providing insights into its potential for precise temperature monitoring and its implications for improved resource management. Furthermore, the review delves into the literature to uncover instances where DTS has been used for flow zone identification in geothermal reservoirs. By analyzing temperature changes along wellbores, this application offers the potential to differentiate distinct flow zones, contributing to enhanced reservoir characterization and optimized production strategies. The study also explores the concept of DTS-based flow rate calculation, investigating the feasibility of estimating fluid flow velocities and quantities using temperature data. A comprehensive examination of relevant research reveals insights into how DTS might streamline reservoir management and enhance real-time decision-making processes within geothermal projects. Additionally, this paper will investigate the use of DTS for identifying flow instabilities such as slug flow and flow regime transitions in geothermal systems. By continuously monitoring temperature variations, the paper assesses the role of DTS in promptly detecting flow instabilities, potentially leading to timely interventions and improved overall well performance. Through a comprehensive analysis of relevant literature, this study aspires to contribute to the ongoing exploration of DTS applications in geothermal wells, ultimately enhancing the efficiency of geothermal resource utilization.

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