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Improved Preproduction Conceptual-Numerical Model of the Roosevelt Geothermal Field using Geological, Geochemical and Structural Information

Improved Preproduction Conceptual-Numerical Model of the Roosevelt Geothermal Field using Geological, Geochemical and Structural Information

作     者:YU Han XU Tianfu YUAN Yilong FENG Guanhong YU Han;XU Tianfu;YUAN Yilong;FENG Guanhong

作者机构:Key Laboratory of Groundwater Resources and EnvironmentMinistry of EducationJilin UniversityChangchun 130021China Jilin Provincial Key Laboratory of Water Resources and EnvironmentJilin UniversityChangchun 130021China Engineering Research Center of Geothermal Resources Development Technology and EquipmentMinistry of EducationJilin UniversityChangchun 130026China 

出 版 物:《Acta Geologica Sinica(English Edition)》 (地质学报(英文版))

年 卷 期:2021年第95卷第6期

页      面:1805-1815页

核心收录:

学科分类:070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学] 

基  金:supported by the National Key R&D Program of China(Grant No.2018YFE0111300) funded by the Engineering Research Center of Geothermal Resources Development Technology and Equipment,Ministry of Education,Jilin University 

主  题:geothermal resource Roosevelt Hot Springs integrated multicomponent geothermometry preproduction state modeling 

摘      要: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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