Improved Preproduction Conceptual-Numerical Model of the Roosevelt Geothermal Field using Geological, Geochemical and Structural Information
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Improved Preproduction Conceptual-Numerical Model of the Roosevelt Geothermal Field using Geological, Geochemical and Structural Information
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This work was supported by the National Key R&D Program of China (Grant No. 2018YFE0111300). This research has been funded by the Engineering Research Center of Geothermal Resources Development Technology and Equipment, Ministry of Education, Jilin University. We sincerely thanked Professor Joseph Moore, Professor Stuart Simmons and Utah FORGE team’s guidance in online meeting.

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    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.

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YU Han, XU Tianfu, YUAN Yilong, FENG Guanhong.2021. Improved Preproduction Conceptual-Numerical Model of the Roosevelt Geothermal Field using Geological, Geochemical and Structural Information[J]. ACTA GEOLOGICA SINICA(English edition),95(6):1805~1815

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  • 收稿日期:2021-07-29
  • 最后修改日期:2021-10-27
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  • 在线发布日期: 2021-12-27
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