Spatial Distribution Of Geochemical Elements In The Assembly Survey Area Of Milashan Copper Mine

Geochemical data has always been a very important source of information in mineral exploration.With the progress and development of the times,the processing of geochemical data has changed from a single application of traditional methods to a combination of a variety of modern mathematical methods.The goal of spherochemical data processing is to extract useful information from a large number of observation data and original geochemical data under complex conditions through mathematical methods,to reveal the internal relations and phenomena between indicator variables(mainly chemical elements)and various geology,so as to search for exploration geochemistry and provide methods and technologies for exploration of mineral resources and solving geological problems at the same time.In this paper,nine elements of Cu,Ag,Au,Pb,Zn,Sn,Sb,W,Mo in the whole ore exploration area of mirashan copper mine are clustered by spatial clustering method.The cluster of Cu,Ag,Au enrichment elements is divided into AG,Pb,Zn,Cu,Mo,W and Ag.Then,the new combined elements are compared and counted.Through spatial clustering,we can find the elements associated with specific elements and exclude the interference of other elements.Using multifractal S-A algorithm and traditional cumulative frequency method to deal with the data,geochemical anomalies are obtained.Three elements,Cu,Ag and Au,are mainly analyzed.Through comparison and comprehensive analysis,we can find out the required elements and their associated elements more accuratelyThis paper analyzes the relationship between the spatial distribution characteristics of the geochemical element content data of the river sediment in the milashan Porphyry Copper Polymetallic Mine Area,and classifies the main ore-forming elements as a class.At the same time,the geochemical fractal method is used to reduce the abnormal area of single element,which can better reflect the local geochemical anomalies.Then,the results of spatial clustering and fractal are compared with the traditional geochemical methods to study the spatial distribution law of element geochemistry,and the comparison results are compared with the actual ore spots to verify the accuracy of the fractal algorithm At the same time,the reasonable prediction of fractal results can better carry out mineral exploration and mineral prediction.Through two methods,10 metallogenic regions of Cu,Ag and Au are finally predicted,of which 5 have been verified by predecessors and the remaining5 have high metallogenic potential.