矿床地质:2024,Vol.>>Issue(4):802-820

山东蒙阴金刚石矿床地质大数据三维建模与成矿预测
中国地质大学 (北京)
地球科学与资源学院, 北京 100083;北京市国土资源信息研究开发重点实验室, 北京 100083;山东省第七地质矿产勘查院, 山东 临沂 276600;山东省地矿局金刚石成矿机理与探测重点实验室, 山东 临沂 276600;琼台师范学院, 海南 海口 571127
Geological big data three-dimensional modelling and mineralization prediction of diamond deposit in Mengyin, Shandong, China
CHEN JianPing,ZHOU GuanYun,CHU ZhiYuan,ZHAO Jie
(School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing 100083, China;Beijing Key Laboratory of Land and Resources Information Research and Development, Beijing 100083, China;The 7th Institute of Geology and Mineral Exploration of Shandong Province, Linyi 276600, Shandong, China;Key Laboratory Metallogenic Mechanism and Exploration of Diamonds in Shandong Provincial Bureau of Geology and Mineral Resources, Linyi 276600, Shandong, China;Qiongtai Normal University, Haikou 571127, Hainan, China)
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投稿时间:2024-01-12   修订日期:2024-06-20      网络发布日期:2024-08-23
中文摘要:大数据时代的到来,需要我们在大数据思维指导下进行三维地质建模工作。笔者以山东蒙阴西峪金刚石矿作为为研究对象,基于大数据发现技术与大数据挖掘技术实现了传统三维地质建模工作和信息技术的深度融合,结合可视化表达等技术方法充分提取了文本数据中西峪金刚石矿的成因模式信息与地球物理勘探标准信息;并在此指导下完成了地球物理信息的解译工作,以期降低地球物理信息多解性对三维地质建模干扰,提高三维地质建模的准确性。最后,结合对成因模式与地球物理勘探标准的深入认识,文章实现了蒙阴金刚石深部含矿性分析,并初步圈定了成矿远景区。
Abstract:The arrival of the big data era requires us to carry out three-dimensional (3D) geological modeling work under the guidance of a big data mindset. This research takes the Xiyu diamond deposit in Mengyin, Shandong Province, as the research object and achieves the deep integration of traditional 3D geological modeling work and information technology based on big data discovery technology and big data mining technology. In this research, the genetic type information and geophysical exploration criteria information of Xiyu diamond deposit in the text data is fully extracted through data discovery, data mining, and visible expression. The interpretation of geophysical information is completed under the guidance of data discovery and data mining to reduce multi-interpretations of the interference of geophysical information on the 3D geological modeling and improve the accuracy of the 3D geological modeling. Finally, combining the in-depth understanding of the genetic type and the geophysical exploration criteria, the analysis of deep mineralization has been realized, and the mineralization targets have been preliminarily defined.
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基金项目:本文得到透视山东-数据更新与模块研发集成专题研究项目(编号:KY202407)和蒙阴地区金刚石原生矿三维地质模型分析与深部靶区预测项目(编号:KY202102)联合资助
引用文本:
陈建平,周冠云,褚志远,赵婕.2024.山东蒙阴金刚石矿床地质大数据三维建模与成矿预测[J].矿床地质,43(4):802~820
CHEN JianPing,ZHOU GuanYun,CHU ZhiYuan,ZHAO Jie.2024.Geological big data three-dimensional modelling and mineralization prediction of diamond deposit in Mengyin, Shandong, China[J].Mineral Deposits43(4):802~820
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