| 胶西北金矿集区深部成矿构造三维建模与找矿意义 |
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| 引用本文： | 毛先成,王琪,陈进,邓浩,刘占坤,王金利,陈建平,肖克炎.胶西北金矿集区深部成矿构造三维建模与找矿意义[J].地球学报,2020,41(2):166-178. |
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| 作者姓名： | 毛先成 王琪 陈进 邓浩 刘占坤 王金利 陈建平 肖克炎 |
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| 作者单位： | 中南大学地球科学与信息物理学院;中南大学有色金属成矿预测与地质环境监测教育部重点实验室,中南大学地球科学与信息物理学院;中南大学有色金属成矿预测与地质环境监测教育部重点实验室,中南大学地球科学与信息物理学院;中南大学有色金属成矿预测与地质环境监测教育部重点实验室,中南大学地球科学与信息物理学院;中南大学有色金属成矿预测与地质环境监测教育部重点实验室,中南大学地球科学与信息物理学院;中南大学有色金属成矿预测与地质环境监测教育部重点实验室,中南大学地球科学与信息物理学院;中南大学有色金属成矿预测与地质环境监测教育部重点实验室,中国地质大学(北京)地球科学与资源学院;北京市国土资源信息研究开发重点实验室,中国地质科学院矿产资源研究所, 自然资源部成矿作用与资源评价重点实验室 |
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| 基金项目： | 国家重点研发计划“深地资源勘查开采”重点专项课题(编号: 2017YFC0601503);国家自然科学基金面上项目(编号: 41772349; 41972309) |
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| 摘 要： | 胶西北地区是我国最大的金矿集区,近年来深部资源勘探在胶西北地区取得重大成果。深部勘探显示,胶西北深部金矿体的产出规律与浅部一致,严格受区域走滑断裂控制,因此深部资源的增储极大程度上依赖于对深部成矿构造形态、分布与结构等的认识程度。本文提出深部成矿构造三维建模方法,综合利用地质、地球物理、地球化学勘查等数据,建立浅部建模与深部推断相结合的初始模型,进而,采用多源数据耦合处理的方法,构建胶西北金矿集区三山岛断裂、焦家断裂和招平断裂三条断裂带地下3000 m以浅的深部成矿构造三维模型。基于深部成矿构造三维模型,圈定了研究区深部金矿的12个找矿靶区,对深部找矿具有重要意义。
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| 关 键 词： | 胶西北金矿集区 深部成矿构造 多源地学数据 三维地质模型 |
Three-dimensional Modeling of Deep Metallogenic Structure in Northwestern Jiaodong Peninsula and Its Gold Prospecting Significance |
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| MAO Xian-cheng,WANG Qi,CHEN Jin,DENG Hao,LIU Zhan-kun,WANG Jin-li,CHEN Jian-ping and XIAO Ke-yan.Three-dimensional Modeling of Deep Metallogenic Structure in Northwestern Jiaodong Peninsula and Its Gold Prospecting Significance[J].Acta Geoscientia Sinica,2020,41(2):166-178. |
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| Authors: | MAO Xian-cheng WANG Qi CHEN Jin DENG Hao LIU Zhan-kun WANG Jin-li CHEN Jian-ping and XIAO Ke-yan |
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| Institution: | School of Geosciences and Info-physics, Central South University;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education), Central South University,School of Geosciences and Info-physics, Central South University;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education), Central South University,School of Geosciences and Info-physics, Central South University;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education), Central South University,School of Geosciences and Info-physics, Central South University;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education), Central South University,School of Geosciences and Info-physics, Central South University;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education), Central South University,School of Geosciences and Info-physics, Central South University;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring (Ministry of Education), Central South University,School of Earth Sciences and Resources, China University of Geosciences (Beijing);Beijing Key Laboratory of Land and Resources Information Research and Development and MNR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources,Chinese Academy of Geological Sciences |
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| Abstract: | The northwest area of Jiaodong (east Shandong) is the biggest gold ore concentration area in China. In recent years, great achievements have been made in the exploration of deep resources. Deep exploration shows that the production regularity of deep gold orebodies in northwestern Jiaodong is consistent with that in the shallow part, i.e., they are strictly controlled by regional strike-slip faults. Therefore, the reserve increase of deep resources largely depends on the understanding of the form, distribution and structure of deep metallogenic structure. This paper proposes a three-dimensional modeling method for deep metallogenic structures. Rudimentary models of Sanshandao, Jiaojia, and Zhaoping faults, as a basic deep structural frame, were firstly constructed by combining shallow modeling with deep inference through utilizing geological, geophysical and geochemical exploration data. Based on the models, deep models for these faults (with depth up to 3000 m) were further refined via the multi-source data coupling processing approach to decrease uncertainty and bias sourced from individual structure inferring. Based on the three-dimensional models of deep metallogenic structure, the 12 prospecting targets of deep gold deposits in the study area were delineated, which is of great significance in guiding deep prospecting. |
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| Keywords: | gold ore concentration area in northwestern Jiaodong Peninsula metallogenic structure multi-source geological data three-dimensional geological model |
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