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长剖面高密度电法技术在浅部矿产地质调查中的应用
引用本文:陈实,李延清,陶鹏飞,胡尊平,牛辉.长剖面高密度电法技术在浅部矿产地质调查中的应用[J].新疆地质,2019(2):177-182.
作者姓名:陈实  李延清  陶鹏飞  胡尊平  牛辉
作者单位:新疆维吾尔自治区地质调查院
基金项目:新疆哈密市磁海-黑山梁一带铜多金属矿预查(T17-3-XJ083)资助
摘    要:将高密度电法技术引入到新疆磁海地区某铜多金属矿点详查工作中,应用长剖面测量技术,获取长测线的高分辨率数据。通过对不同数据质量的测量电阻率的反演RMS值进行研究,验证子剖面连接法的可行性;对长剖面数据进行连接的具体流程进行规范化,为实际工作提供重要指引。实践表明,该方法能区分矿区0~180m深度范围内与成矿有密切关系的下寒武统双鹰山组的电性结构特征,进而指导地表探矿工程的开展,达到浅部间接找矿目的。

关 键 词:高密度电法  长剖面调查  子剖面连接方法  不同数据质量  区域电性分析

Application of Long-section High Density Electrical Method in Shallow Mineral Geological Survey
Chen Shi,Li Yanqing,Tao Pengfei,Hu Zunping,Niu Hui.Application of Long-section High Density Electrical Method in Shallow Mineral Geological Survey[J].Xinjiang Geology,2019(2):177-182.
Authors:Chen Shi  Li Yanqing  Tao Pengfei  Hu Zunping  Niu Hui
Institution:(Xinjiang Institute of Geological Survey,Urumqi ,Xinjiang,830000,China)
Abstract:In this paper, the high density resistivity method is introduced into the detailed survey of a copper polymetallic ore site in the cihai area of Xinjiang, and the high resolution data of long survey lines are obtained by using the longsection survey technology. The feasibility of sub-section connection method is verified by studying the RMS value of resistivity measurement with different data quality. The specific process of long-section is standardized, which provides important guidance for practical work. The practical application shows that the method can distinguish the electrical structural characteristics of the Shuangyingshan Formation of Lower Cambrian, which is closely related to mineralization in the depth range of 0-180m in the mining area, and then guide the development of surface prospecting engineering to achieve the goal of shallow indirect prospecting. The application results show that the method is effective in the exploration of non-ferrous metal deposits and can meet the requirements of detailed exploration of non-ferrous metal deposits.
Keywords:High density resistivity method  Long-section survey  Subsection connection method  Different data quality  Regional electricity analysis
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