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Assessment of Geothermal Resources in the North Jiangsu Basin, East China, Using Monte Carlo Simulation

Author

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  • Yibo Wang

    (State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
    Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100864, China)

  • Lijuan Wang

    (Key Laboratory of Earth Fissures Geological Disaster, Ministry of Land and Resources, Geological Survey of Jiangsu Province, Nanjing 210018, China)

  • Yang Bai

    (State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
    Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100864, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100864, China)

  • Zhuting Wang

    (School of Mines, China University of Mining and Technology, Xuzhou 221116, China)

  • Jie Hu

    (State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
    Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100864, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100864, China)

  • Di Hu

    (Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 434023, China)

  • Yaqi Wang

    (State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
    Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100864, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100864, China)

  • Shengbiao Hu

    (State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China
    Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing 100864, China
    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100864, China)

Abstract

Geothermal energy has been recognized as an important clean renewable energy. Accurate assessment of geothermal resources is an essential foundation for their development and utilization. The North Jiangsu Basin (NJB), located in the Lower Yangtze Craton, is shaped like a wedge block of an ancient plate boundary and large-scale carbonate thermal reservoirs are developed in the deep NJB. Moreover, the NJB exhibits a high heat flow background because of its extensive extension since the Late Mesozoic. In this study, we used the Monte Carlo method to evaluate the geothermal resources of the main reservoir shallower than 10 km in the NJB. Compared with the volumetric method, the Monte Carlo method takes into account the variation mode and uncertainties of the input parameters. The simulation results show that the geothermal resources of the sandstone thermal reservoir in the shallow NJB are very rich, with capacities of (6.6–12) × 10 20 J (mean 8.6 × 10 20 J), (5.1–16) × 10 20 J (mean 9.1 × 10 20 J), and (3.2–11) × 10 20 J (mean 6.6 × 10 20 J) for the Yancheng, Sanduo and Dai’nan sandstone reservoir, respectively. In addition, the capacity of the geothermal resource of the carbonate thermal reservoir in the deep NJB is far greater than the former, reaching (9.9–15) × 10 21 J (mean 12 × 10 21 J). The results indicate capacities of a range value of (1.2–1.7) × 10 21 J (mean 1.4 × 10 22 J) for the whole NJB (<10 km).

Suggested Citation

  • Yibo Wang & Lijuan Wang & Yang Bai & Zhuting Wang & Jie Hu & Di Hu & Yaqi Wang & Shengbiao Hu, 2021. "Assessment of Geothermal Resources in the North Jiangsu Basin, East China, Using Monte Carlo Simulation," Energies, MDPI, vol. 14(2), pages 1-17, January.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:2:p:259-:d:475291
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    References listed on IDEAS

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    1. Hou, Jianchao & Cao, Mengchao & Liu, Pingkuo, 2018. "Development and utilization of geothermal energy in China: Current practices and future strategies," Renewable Energy, Elsevier, vol. 125(C), pages 401-412.
    2. Wang, Yuqing & Liu, Yingxin & Dou, Jinyue & Li, Mingzhu & Zeng, Ming, 2020. "Geothermal energy in China: Status, challenges, and policy recommendations," Utilities Policy, Elsevier, vol. 64(C).
    3. Zhu, Jialing & Hu, Kaiyong & Lu, Xinli & Huang, Xiaoxue & Liu, Ketao & Wu, Xiujie, 2015. "A review of geothermal energy resources, development, and applications in China: Current status and prospects," Energy, Elsevier, vol. 93(P1), pages 466-483.
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    Cited by:

    1. Maximilian Frick & Stefan Kranz & Ben Norden & David Bruhn & Sven Fuchs, 2022. "Geothermal Resources and ATES Potential of Mesozoic Reservoirs in the North German Basin," Energies, MDPI, vol. 15(6), pages 1-26, March.
    2. Guilin Zhu & Linyou Zhang & Zhihui Deng & Qingda Feng & Zhaoxuan Niu & Wenhao Xu, 2023. "Three-Dimensional Geological Modeling and Resource Estimation of Hot Dry Rock in the Gonghe Basin, Qinghai Province," Energies, MDPI, vol. 16(16), pages 1-16, August.
    3. Guillem Piris & Ignasi Herms & Albert Griera & Montse Colomer & Georgina Arnó & Enrique Gomez-Rivas, 2021. "3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models," Energies, MDPI, vol. 14(21), pages 1-21, November.

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