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Multi-scale geological modeling and in-situ stress inversion of Xincheng Gold Mine at the Jiaodong Peninsula, China
https://orcid.org/http://orcid.org/0000-0001-9912-2152
The Jiaodong Peninsula in China is rich in metal deposits, but its geological setting is very complex. To ensure the stability of metal mining-induced excavations of the study area, it is necessary to understand the development of regional structures and the distribution of stress fields. Considering the multi-scale characteristics of geological objects, we conducted multi-scale 3D geological modeling and in situ stress inversion from regional large-scale (100km), regional medium-scale (10km), and engineering scale (km) to obtain the in situ stress distribution of several mine areas (Xincheng, Tengjia, and Hongbu mining areas) at the Xincheng Gold Mine, in the Jiaodong Peninsula region and guide engineering practice. The Hermite Radial Basis Function (HRBF) is adopted to obtain multi-scale geological models including small faults, surrounding rocks, and ore bodies by using regional field survey data, exploration profiles, and boreholes. Then, through several groups of measured in situ stress data, multi-scale in situ stress field inversion is carried out by adopting the multiple linear regression method. Then, the distribution of the in situ stress field is analyzed. In this paper, each smaller-scale 3D modeling and in situ stress inversion is refined and corrected based on the larger-scale modeling and inversion. The results show that the calculated in situ stress of multi-scale inversions is more accurate, which verifies the practicability and effectiveness of the multi-scale modeling and in situ stress inversion. Therefore, compared with the single-scale geological model and inversion, the multi-scale model and inversion can predict the in situ stress distribution of rock engineering more accurately.
Multi-scale geological modeling and in-situ stress inversion of Xincheng Gold Mine at the Jiaodong Peninsula, China
https://orcid.org/http://orcid.org/0000-0001-9912-2152
The Jiaodong Peninsula in China is rich in metal deposits, but its geological setting is very complex. To ensure the stability of metal mining-induced excavations of the study area, it is necessary to understand the development of regional structures and the distribution of stress fields. Considering the multi-scale characteristics of geological objects, we conducted multi-scale 3D geological modeling and in situ stress inversion from regional large-scale (100km), regional medium-scale (10km), and engineering scale (km) to obtain the in situ stress distribution of several mine areas (Xincheng, Tengjia, and Hongbu mining areas) at the Xincheng Gold Mine, in the Jiaodong Peninsula region and guide engineering practice. The Hermite Radial Basis Function (HRBF) is adopted to obtain multi-scale geological models including small faults, surrounding rocks, and ore bodies by using regional field survey data, exploration profiles, and boreholes. Then, through several groups of measured in situ stress data, multi-scale in situ stress field inversion is carried out by adopting the multiple linear regression method. Then, the distribution of the in situ stress field is analyzed. In this paper, each smaller-scale 3D modeling and in situ stress inversion is refined and corrected based on the larger-scale modeling and inversion. The results show that the calculated in situ stress of multi-scale inversions is more accurate, which verifies the practicability and effectiveness of the multi-scale modeling and in situ stress inversion. Therefore, compared with the single-scale geological model and inversion, the multi-scale model and inversion can predict the in situ stress distribution of rock engineering more accurately.
Multi-scale geological modeling and in-situ stress inversion of Xincheng Gold Mine at the Jiaodong Peninsula, China
https://orcid.org/http://orcid.org/0000-0001-9912-2152
The Jiaodong Peninsula in China is rich in metal deposits, but its geological setting is very complex. To ensure the stability of metal mining-induced excavations of the study area, it is necessary to understand the development of regional structures and the distribution of stress fields. Considering the multi-scale characteristics of geological objects, we conducted multi-scale 3D geological modeling and in situ stress inversion from regional large-scale (100km), regional medium-scale (10km), and engineering scale (km) to obtain the in situ stress distribution of several mine areas (Xincheng, Tengjia, and Hongbu mining areas) at the Xincheng Gold Mine, in the Jiaodong Peninsula region and guide engineering practice. The Hermite Radial Basis Function (HRBF) is adopted to obtain multi-scale geological models including small faults, surrounding rocks, and ore bodies by using regional field survey data, exploration profiles, and boreholes. Then, through several groups of measured in situ stress data, multi-scale in situ stress field inversion is carried out by adopting the multiple linear regression method. Then, the distribution of the in situ stress field is analyzed. In this paper, each smaller-scale 3D modeling and in situ stress inversion is refined and corrected based on the larger-scale modeling and inversion. The results show that the calculated in situ stress of multi-scale inversions is more accurate, which verifies the practicability and effectiveness of the multi-scale modeling and in situ stress inversion. Therefore, compared with the single-scale geological model and inversion, the multi-scale model and inversion can predict the in situ stress distribution of rock engineering more accurately.
Multi-scale geological modeling and in-situ stress inversion of Xincheng Gold Mine at the Jiaodong Peninsula, China
Bull Eng Geol Environ
Wang, Jiangmei (author) / Zhu, Wancheng (author) / Liu, Xige (author) / Guo, Jiateng (author) / Yan, Jiazhao (author)
2024-12-01
Article (Journal)
Electronic Resource
English
3D geological model , Multi-scale model , In situ stress field inversion , Implicit modeling , Jiaodong Peninsula Earth Sciences , Geology , Engineering , Resources Engineering and Extractive Metallurgy , Geotechnical Engineering & Applied Earth Sciences , Geoengineering, Foundations, Hydraulics , Geoecology/Natural Processes , Nature Conservation , Earth and Environmental Science
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