Data Processing In Geochemical Exploration And Metallogenic Prognosis Of Polymetallic Ore In Liulin, Guangxi

Geochemical exploration data processing is an essential part, which may affect thegeochemical exploration effects directly. It is to extract information from the original databy mathematics method, to indicate the interrelationship between chemical elements andgeological phenomena. How to extract geochemical anomaly scientifically and efficiently,and then to select and evaluate them quickly and precisely, to identify the prospect areaand improve the probability of ore, is the key for the exploration effects and economicbenefit.This paper analyzes the1:50000stream sediment data in the Liulin area, Guangxiprovince and identify the prospect area, by use of traditional iterative method, fractaltheory, multivariate statistical analysis method and metallogenic energy method.The distribution characteristics of geochemical elements data is not followed by thenormal distribution and lognormal distribution, but show the characteristics of highcluster fractal distribution. Adopting fractal theory to analyze the geochemicalcharacteristics can reveal the spatial distribution and enrichment regularity of the mainore-forming elements fully. In the fractal theory, the content-sum method is more directlythan content-area method in the determination of the cutoff point. And content-summethod groups the data more easily, so it is the better choice to process the data.By using correlation analysis, Cluster analysis, factor analysis to determine themineral assemblages,12elements are divided into five groups, namely Pb-Sn-Ag-Sb-Au,W-Mo-Bi, Cu-Ag-Zn, As and F. According to the groups, make the elements assembledanomaly maps. Anomalies of Pb-Sn-Ag-Sb-Au, namely factor1, distributing in themiddle part of the area, is the prospect area of precious metals and Pb-bearing polymetaldeposits; Anomalies of F3[Cu-Ag-Zn] distributes at the southwest corner and the middleeast part, which is the target area of searching Cu-bearing polymetal ore; F1coincideswith F3in the middle part, and it is more meaningful for prospecting; Anomalies ofF2[W-Mo-Bi] represents the association of high temperature elements, related with thegranite mass of Yanshanian period closely. The elements assembled anomalies calculatedby using multivariate normal distribution theory, distributes more collective relatively, with clear concentration heart and regular shape. These anomalies which may match withsome others sterically are more meaningful than single element anomaly, and meanwhileassembled anomaly is better in accordance with the geological characteristics of elementassociation in mineralization and hydatogenesis.In this paper, adopting metallogenic energy method extracts composite anomaly andevaluate. Combined with geological conditions, determine the prospect area. E1area canbe the main prospecting target of copper polymetallic ore. E2area can be priorityprospect area to search wolfram-molybdenum ore. E3area can be considered the majorarea of polymetallic deposits. E4can be treated as the secondary exploration target oflead-zinc deposit.