Three-Dimensional Prospective Modeling and Deep Metallogenic Prediction of the Lintan Gold Deposit in Guizhou Province, China
文献类型:期刊论文
| 作者 | Shenghong Cheng; Xiaolong Wang; Qinping Tan; Peng Liu; Lujing Zheng |
| 刊名 | Minerals
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| 出版日期 | 2024 |
| 卷号 | 14期号:12页码:1295 |
| 关键词 | 3d Geological Modeling Metallogenic Prediction Prospective Modeling Lintan Gold Deposit |
| DOI | 10.3390/min14121295 |
| 英文摘要 |
The Lintan gold deposit, located in the “gold triangle” of Qianxinan, Guizhou Province, has become a focal point for implementing the “exploring near existing deposits” strategy, aiming to identify another large-scale gold deposit within the region. This study addresses the challenges of deep-edge mineral exploration in the Lintan gold deposit by adopting a metallogenic system perspective. Using a multidisciplinary approach, it integrates geological, geophysical, and geochemical datasets to construct various three-dimensional (3D) visualization and prospectivity models. The research leverages geostatistical theories and methods, multisource digital information analysis, and advanced 3D modeling and visualization techniques to verify mineralization anomalies. These efforts expand the scope of prospectivity evaluation for the deep-edge regions of the Lintan gold deposit into 3D space. In the 3D spatial framework, this study elucidates the metallogenic geological characteristics, geophysical anomalies, and geochemical signatures within the study area. Building upon this foundation, it conducts a comprehensive analysis and evaluation of geological, geochemical, and geophysical prospecting indicators under multisource geoscience datasets. This approach transitions from known to unknown domains, effectively reducing the ambiguities and uncertainties associated with single-source data interpretations. The findings demonstrate that, under the guidance of geological prospectivity models, the effective integration and synthesis of geological, geophysical, and geochemical data can reveal the interrelationships between metallogenic geological bodies and the contributing factors of the metallogenic system. This enables the identification of anomalous information associated with metallogenic geological bodies and facilitates the spatial localization and prediction of target areas for deep-edge mineral resources. The proposed methodology provides novel insights and techniques for deep-edge mineral exploration. Comprehensive analysis indicates significant prospectivity for mineral resource exploration in the deep-edge regions of the Lintan gold deposit. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | ![]() |
| 专题 | 地球化学研究所_矿床地球化学国家重点实验室 |
| 作者单位 | 1.School of Earth Science and Resources, China University of Geosciences (Beijing), Beijing 100083, China 2.School of Earth Science and Resources, Chang’an University, Xi’an 710054, China 3.State Key Laboratory of Ore Deposit Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China 4.Beijing Sinomine Smartech Inc., Beijing 100000, China |
| 推荐引用方式 GB/T 7714 | Shenghong Cheng,Xiaolong Wang,Qinping Tan,et al. Three-Dimensional Prospective Modeling and Deep Metallogenic Prediction of the Lintan Gold Deposit in Guizhou Province, China[J]. Minerals,2024,14(12):1295. |
| APA | Shenghong Cheng,Xiaolong Wang,Qinping Tan,Peng Liu,&Lujing Zheng.(2024).Three-Dimensional Prospective Modeling and Deep Metallogenic Prediction of the Lintan Gold Deposit in Guizhou Province, China.Minerals,14(12),1295. |
| MLA | Shenghong Cheng,et al."Three-Dimensional Prospective Modeling and Deep Metallogenic Prediction of the Lintan Gold Deposit in Guizhou Province, China".Minerals 14.12(2024):1295. |
入库方式: OAI收割
来源:地球化学研究所
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