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Xu ZH, Jiang JY, Gu GW, Sun ZJ, Jiao XK, Niu XG, Yu Q. Assessment of geothermal resource potential in Changbaishan utilizing high-precision gravity-based man-machine interactive inversion technology. Front Big Data 2023; 6:1139918. [PMID: 37539015 PMCID: PMC10395334 DOI: 10.3389/fdata.2023.1139918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 06/23/2023] [Indexed: 08/05/2023] Open
Abstract
As one of the clean energy sources, geothermal resources have no negative impact in changing the climate. However, the accurate assessment and precise identification of the potential geothermal resource is still complex and dynamic. In this paper, ~2,000 large-scale high-precision gravity survey points are conducted in the north of the Tianchi caldera, Changbaishan. Advanced data processing technologies can provide straightforward information on deep geothermal resources (Hot source, caprock, geothermal reservoir and geothermal migration pathway). Upwards continuation and the technologies decode two dome shaped low and gentle anomalies (-48 × 10-5 m/s2-65 m/s2) and a positive gravity gradient anomaly (0.4 × 10-7 m/s2-1.6 × 10-5 m/s2) in large-scale high-precision gravity planar. According to two point five dimensional man-machine interactive inversion technology and the research on petrophysical parameters, the density of the shied-forming basalts in the two orthogonal gravity sections is 2.58 g/cm3. The relatively intermediate to high density (2.60-2.75 g/cm3) represents geothermal reservoir, and low density (low to 2.58 g/cm3) is the geothermal migration pathway. In addition, large-scale high-precision gravity planar with a solution of about 1/50,000 indicate that the north of the Tianchi caldera exits the sedimentary basin and uplift mountain geothermal system.
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Affiliation(s)
- Zhi-He Xu
- College of Earth Sciences, Institute of Disaster Prevention, Sanhe, China
- Engineering Research Center of Geothermal Resources Development Technology and Equipment, Ministry of Education, Jilin University, Changchun, China
- Hebei Key Laboratory of Earthquake Dynamics, Sanhe, China
- Engineering Research Center of Geothermal Resources Development Technology and Engineering, Ministry of Education, Jilin University, Changchun, China
| | - Ji-Yi Jiang
- College of Earth Sciences, Institute of Disaster Prevention, Sanhe, China
- Hebei Key Laboratory of Earthquake Dynamics, Sanhe, China
| | - Guan-Wen Gu
- College of Earth Sciences, Institute of Disaster Prevention, Sanhe, China
- Hebei Key Laboratory of Earthquake Dynamics, Sanhe, China
| | - Zhen-Jun Sun
- College of Earth Sciences, Institute of Disaster Prevention, Sanhe, China
- Hebei Key Laboratory of Earthquake Dynamics, Sanhe, China
| | - Xuan-Kai Jiao
- College of Earth Sciences, Institute of Disaster Prevention, Sanhe, China
- Hebei Key Laboratory of Earthquake Dynamics, Sanhe, China
| | - Xing-Guo Niu
- Inner Mongolia Non-ferrous Geological Mining Industry, Huhehaote, China
| | - Qin Yu
- College of Earth Sciences, Institute of Disaster Prevention, Sanhe, China
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