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

Yibo Wang, Lijuan Wang, Yang Bai, Zhuting Wang, Jie Hu, Di Hu, Yaqi Wang and Shengbiao Hu
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Yibo Wang: State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, 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
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
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
Shengbiao Hu: State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China

Energies, 2021, vol. 14, issue 2, 1-17

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).

Keywords: geothermal resource; Monte Carlo simulation; assessment; thermal reservoir; North Jiangsu Basin (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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