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辽宁五龙金矿163矿脉深部钻孔地球化学特征及找矿意义
引用本文:邱海成,李德东,李建平,陈海涛,褚广勤,张凤琴.辽宁五龙金矿163矿脉深部钻孔地球化学特征及找矿意义[J].地质找矿论丛,2023,38(1):53-64.
作者姓名:邱海成  李德东  李建平  陈海涛  褚广勤  张凤琴
作者单位:辽宁省五龙黄金矿业有限责任公司, 辽宁 丹东 118012;北京矿产地质研究院有限责任公司, 北京 100012;中国地质大学(北京), 北京 100083
基金项目:国家重点研发计划项目(编号:2018YFC0603804)资助。
摘    要:五龙金矿是辽东地区大型岩浆热液型金矿床,163矿脉是矿区内目前发现的最大含矿构造。为进一步探测深部找矿潜力,近几年矿山对163矿脉进行了大量的探采工程,其中在-762 m坑道实施了600 m钻孔。本文在详细编录该钻孔的基础上,对全孔样品进行成矿元素测试工作,利用SPSS软件对所得测试数据进行元素相关性、聚类、因子分析。相关性分析显示,具有显著正相关的元素主要为Bi、W、Cu、Ag、Au和As、Sb、Sn、Zn两组;Mo元素与Sn、Ag、Cu、Bi、W、Sb地素具有显著正相关性,而Pb元素与Cu、Mo、Au、W元素呈显著负相关性,Hg元素与其它元素相关性不明显。聚类分析结果表明,R型聚类在类的距离为5的水平上,这些元素明显可分为3组:Hg、Cu、Pb、Zn、Sn、Mo、As、W;Ag、Au、Sb、Bi。因子分析结果表明,提取3个因子可以反映出12个元素变量64.42%的地球化学信息,F1的主要载荷因子组成为Sn、Ag、As、Zn、Sb, F2的主要载荷因子组成为Au、W、Bi、-Pb, F3的主要载荷因子组成为Hg。根据成矿元素随深度变化特征,结合前人构造叠加晕研究成果,推测该钻孔深部还...

关 键 词:辽宁五龙金矿  SPSS分析  元素相关性  聚类分析  因子分析  163矿脉
收稿时间:2022/6/29 0:00:00

Geochemical characteristics and prospecting significance of deep boreholes at No. 163 ore body of Wulong Au deposit in Liaoning provinve
QIU Haicheng,LI Dedong,LI Jianping,CHEN Haitao,CHU Guangqin,ZHANG Fengqin.Geochemical characteristics and prospecting significance of deep boreholes at No. 163 ore body of Wulong Au deposit in Liaoning provinve[J].Contributions to Geology and Mineral Resources Research,2023,38(1):53-64.
Authors:QIU Haicheng  LI Dedong  LI Jianping  CHEN Haitao  CHU Guangqin  ZHANG Fengqin
Institution:Wulong Au Mine Co. Ltd., Dandong 118008, Liaoning, China;Beijing Institute of Geology for Mineral Resources Co., Beijing 10083, China; China University of Geosciences, Beijing 100083, China
Abstract:Wulong Au deposit is a large magmatic hydrothermal deposit in the east Liaoning province. The vein in which No.163 ore body occurs is the biggest structural space in the mine area recognized at present. It is potential for further prospecting. In resent years tunnel drilling of 600 m footage at Level -762 m have been completed and logged detailly with whole borehole sampling. All the samples are analyzed and correlation, cluster and factor analysis of the elements are processed with SPSS software. The results show that Bi, W, Cu, Ag, Au; As, Sb, Sn, Zn; the two sets of element, Mo and Sn, Ag, Cu, Bi, W, Sb are positively positively correlated; Pb obviously negatively to Cu, Mo, Au; Hg without obviously correlation to other elements; R type cluster distance kept 5, elements divided into 3 sets, i.e. Hg, Cu, Pb, Zn; Sn, Mo, As, W; Ag, Au, Sb, Si, Bi; 3 load factors extracted, F1, F2, F3, reflecting 64.42 geochemical information of 12 variables, F1 consisting of Sn, Ag, As, Zn, Sb, F2 consisting of Au, W, Bi, Pb, F3 Hg According to variation of ore elements to depth and previous structural overprint halo researches blind ore bodies are predicted to depth of the tunnel boreholes.
Keywords:SPSS procession  correlation  cluster analysis  factor analysis  No  163 ore body  Wulong Au deposit  Liaoning province
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