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3-D Inversion of Gravity Data of the Central and Eastern Gonghe Basin for Geothermal Exploration

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  • Jianwei Zhao

    (College of Geo-Exploration Science and Technology, Jilin University, 938 Ximinzhu Street, Changchun 130026, China)

  • Zhaofa Zeng

    (College of Geo-Exploration Science and Technology, Jilin University, 938 Ximinzhu Street, Changchun 130026, China)

  • Shuai Zhou

    (College of Geo-Exploration Science and Technology, Jilin University, 938 Ximinzhu Street, Changchun 130026, China)

  • Jiahe Yan

    (College of Geo-Exploration Science and Technology, Jilin University, 938 Ximinzhu Street, Changchun 130026, China)

  • Baizhou An

    (College of Geo-Exploration Science and Technology, Jilin University, 938 Ximinzhu Street, Changchun 130026, China
    Ningxia Geophysical and Geochemical Exploration Institute (Autonomous Regional Deep Earth Exploration Center), Yinchuan 750001, China)

Abstract

The Gonghe Basin is one of the most important regions for the exploration and development of hot dry rock geothermal resources in China. However, there is still some controversy about the main heat source of hot dry rock geothermal resources in the Gonghe Basin. Combined with previous research results including three-dimensional magnetotelluric imaging and linear inversion of Rayleigh wave group and phase velocity result, we obtained a high-resolution underground spatial density distribution model of the Gonghe Basin based on satellite gravity data by using 3-D gravity focusing inversion method. According to the results, there are widely distributed low density anomalies relative to surrounding rock in the middle crust of the study area. The low-density layer is speculated to be a low-velocity, high-conductivity partial melting layer in the crust of the Gonghe Basin. The inversion result confirms for the first time the existence of a partial melt layer from the gravity point of view, and this high temperature melt layer may be the main heat source of the hot dry rock geothermal resources in the Gonghe Basin. It can provide a new basis for further research on the genesis of the hot dry rock geothermal system in the Gonghe Basin.

Suggested Citation

  • Jianwei Zhao & Zhaofa Zeng & Shuai Zhou & Jiahe Yan & Baizhou An, 2023. "3-D Inversion of Gravity Data of the Central and Eastern Gonghe Basin for Geothermal Exploration," Energies, MDPI, vol. 16(5), pages 1-16, February.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:5:p:2277-:d:1081811
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    References listed on IDEAS

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    1. Zhang, Chao & Hu, Shengbiao & Zhang, Shengsheng & Li, Shengtao & Zhang, Linyou & Kong, Yanlong & Zuo, Yinhui & Song, Rongcai & Jiang, Guangzheng & Wang, Zhuting, 2020. "Radiogenic heat production variations in the Gonghe basin, northeastern Tibetan Plateau: Implications for the origin of high-temperature geothermal resources," Renewable Energy, Elsevier, vol. 148(C), pages 284-297.
    2. Lanfang He & Ling Chen & Dorji & Xiaolu Xi & Xuefeng Zhao & Rujun Chen & Hongchun Yao, 2016. "Mapping the Geothermal System Using AMT and MT in the Mapamyum (QP) Field, Lake Manasarovar, Southwestern Tibet," Energies, MDPI, vol. 9(10), pages 1-13, October.
    3. Apergis, Nicholas & Tsoumas, Chris, 2011. "Integration properties of disaggregated solar, geothermal and biomass energy consumption in the U.S," Energy Policy, Elsevier, vol. 39(9), pages 5474-5479, September.
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