隐伏矿床成矿预测理论与方法新进展

发布时间：2018-03-20 18:17

本文选题：隐伏矿床预测　切入点：成矿预测　出处：《地质与勘探》2017年03期 　论文类型：期刊论文

【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。
[Abstract]:In this paper, the definition, classification and characteristics of concealed deposits at home and abroad are discussed. The recognition of classification of concealed deposits should be changed from three dimensions to four dimensions, and time makes the classification of concealed deposits transform each other. Therefore, the classification of concealed deposits should be combined with the present actual situation. After a long period of field practice, under the background of big data's time and 3s science and technology, in the traditional theory of concealed ore deposit pre-flanking and exploration technique, This paper puts forward an efficient ore prospecting technology method, which is guided by big data's theory of metallogenic prediction and integrated with spatial database, mobile GIS and geophysical and geochemical prospecting equipment. It has become an important theory and technical method for rapid evaluation of metallogenic potential of small and medium-sized mining enterprises. To explore different regions, The combination of prospecting techniques and methods of different types of deposits should be the focus of further research. The traditional theory and method of metallogenic prediction of concealed deposits tend to develop in the direction of big data metallogenic prediction and mobile GIS prospecting technology methods under the background of 3s science and technology. It is necessary to strengthen the effective connection, transformation and application of metallogenic prediction theories and methods, and develop towards multivariate metallogenic prediction theory, multivariate exploration technique and multi-source information data integration for metallogenic prediction.
【作者单位】：新疆大学;中亚造山带动力与成矿预测重点实验室;
【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
【分类号】：P612

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