隐伏矿床成矿预测理论与方法新进展  

New Progress in the Prediction Theory and Prospecting Method for Concealed Deposits

作　　者：程红军[1,2] 陈川[1,2] 展新忠[1] 常金雨 丁亚龙[1,2] 库瓦尼西别克.买买提朱马 杨蕤嘉 加娜尔[1,2] 付翰泽 

机构地区：[1]新疆大学,新疆乌鲁木齐830046 [2]中亚造山带动力与成矿预测重点实验室,新疆乌鲁木齐830046

出　　处：《地质与勘探》2017年第3期456-463,共8页Geology and Exploration

基　　金：国家"十二五"科技支撑计划专题(编号2015BAB05B01);新疆维吾尔自治区自然科学基金(编号:2016D01C067)联合资助

摘　　要：本文对隐伏矿床在国内外的定义、分类与特点进行了讨论,对隐伏矿床的分类的认识应从三维转变到四维,时间使得隐伏矿床的分类相互转化,因此对隐伏矿床的分类应结合当下实际情况。经过长期的野外实践总结,在大数据时代与3S科技背景下,在传统的隐伏矿床预侧理论与勘查技术方法上,提出以大数据成矿预侧理论指导找矿,以空间数据库、移动GIS和物化探设备集成的高效找矿技术方法,成为当今快速评价中小矿山企业远景区成矿潜力的重要理论与技术方法,探讨不同地区、不同矿床类型的勘查技术方法组合应是进一步研究的重点。传统的隐伏矿床成矿预测理论与方法在3S科技背景下趋向于大数据成矿预测与移动GIS勘查技术方法方向发展,应加强成矿预测理论与方法彼此之间的有效衔接、转化与应用,朝着多元成矿预测理论、多元勘查技术方法、多源信息数据集成成矿预测发展。We discuss the definitions, classifications and features of concealed deposits in China and elsewhere in the world. We should change the understanding of the classification of the concealed deposit from three - dimensional to four - dimensional. Time makes the classification of concealed de- posits transform each other, therefore, the classification should be combined with the actual situation today. Then we summarize long - term field work, notice the age of big data and 3S technologies, and consider the traditional prediction theory and survey methods for concealed deposits. Finally, we sug- gest that the following approaches should be applied to rapid evaluation of medium - and small - scale mines： using big - data mineralization prediction theory to guide ore search, and integrating spatial databases, mobile GIS and geophysical and geochemical equipment into highly efficient technologies for prospecting. These are the current trend in this aspect. The focus of further investigations is discussing combination of prospecting methods in different re- gions and different deposits type. In the background of 3S technology , the traditional concealed deposit theory and method of mineralization tends to large data metallogenic prediction and mobile GIS exploration technology direction. We should strengthen the metallogenic prediction theory and methods effec- tive interface between each other, transformation and application toward Multivariate metallogenic prediction theory, multivariate methods exploration tech- nology, multi - source data integration information metallogenic prediction development.

关 键 词：隐伏矿床预测 成矿预测 空间数据库 移动GIS 大数据 

分 类 号：P612[天文地球—矿床学]