Jiangmei Wang, Wancheng Zhu, Xige Liu, Jiateng Guo, Jiazhao Yan
{"title":"中国胶东半岛新城金矿多尺度地质建模与原位应力反演","authors":"Jiangmei Wang, Wancheng Zhu, Xige Liu, Jiateng Guo, Jiazhao Yan","doi":"10.1007/s10064-024-03982-6","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":500,"journal":{"name":"Bulletin of Engineering Geology and the Environment","volume":"83 12","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multi-scale geological modeling and in-situ stress inversion of Xincheng Gold Mine at the Jiaodong Peninsula, China\",\"authors\":\"Jiangmei Wang, Wancheng Zhu, Xige Liu, Jiateng Guo, Jiazhao Yan\",\"doi\":\"10.1007/s10064-024-03982-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":500,\"journal\":{\"name\":\"Bulletin of Engineering Geology and the Environment\",\"volume\":\"83 12\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of Engineering Geology and the Environment\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10064-024-03982-6\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ENVIRONMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of Engineering Geology and the Environment","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10064-024-03982-6","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
Multi-scale geological modeling and in-situ stress inversion of Xincheng Gold Mine at the Jiaodong Peninsula, China
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.
期刊介绍:
Engineering geology is defined in the statutes of the IAEG as the science devoted to the investigation, study and solution of engineering and environmental problems which may arise as the result of the interaction between geology and the works or activities of man, as well as of the prediction of and development of measures for the prevention or remediation of geological hazards. Engineering geology embraces:
• the applications/implications of the geomorphology, structural geology, and hydrogeological conditions of geological formations;
• the characterisation of the mineralogical, physico-geomechanical, chemical and hydraulic properties of all earth materials involved in construction, resource recovery and environmental change;
• the assessment of the mechanical and hydrological behaviour of soil and rock masses;
• the prediction of changes to the above properties with time;
• the determination of the parameters to be considered in the stability analysis of engineering works and earth masses.