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Improved Preproduction Conceptual-Numerical Model of the Roosevelt Geothermal Field using Geological,Geochemical and Structural Information
Authors:YU Han  XU Tianfu  YUAN Yilong  FENG Guanhong
Institution:Key Laboratory of Groundwater Resources and Environment,Ministry of Education,Jilin University,Changchun 130021,China;Jilin Provincial Key Laboratory of Water Resources and Environment,Jilin University,Changchun 130021,China;Key Laboratory of Groundwater Resources and Environment,Ministry of Education,Jilin University,Changchun 130021,China;Jilin Provincial Key Laboratory of Water Resources and Environment,Jilin University,Changchun 130021,China;Engineering Research Center of Geothermal Resources Development Technology and Equipment,Ministry of Education,Jilin University,Changchun 130026,China
Abstract:The Roosevelt Hot Springs Known Geothermal Resource Area (KGRA) is a Basin and Range-type geothermal resource, which is located in southwestern Utah. The integrated multicomponent geothermometry (IMG) approach is used to estimate the reservoir temperature at the Roosevelt Hot Springs KGRA. Geothermometric modeling results indicate the deep reservoir temperature is approximately 284.6°C. A conceptual model of the Roosevelt Hot Spring KGRA is provided through integrating the various pieces of exploration information, including the geological data, geothermometric results, temperature well log and field evidence. A two-dimensional cross-sectional model was thus built to quantitatively investigate the coupled thermal-hydraulic processes in the Roosevelt geothermal field. By matching the preproduction temperature log data of deep wells, parameters controlling flow and heat transport are identified. The method and model presented here may be useful for other geothermal fields with similar conditions.
Keywords:geothermal resource  Roosevelt Hot Springs  integrated multicomponent geothermometry  preproduction state modeling
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