| Big data technology has been widely used in the geoscience field and big data thinking has opened up a new way of thinking for geology research.Based on data,it is possible to obtain some results better than traditional geological analysis methods when analyzing geological problems with data-driven model.In the study of ore deposits,the data-driven method has obvious advantages in the recognition of geochemical anomalies,element migration and distribution,etc.In this paper,the Qiaomaishan Cu-S deposit in Nanling-Xuancheng ore district area is taken as the research object,and the portable X-ray fluorescence analyzer(PXRF)technology is used as the data acquisition means.Based on the systematic collection of geological data,profile data,borehole data,papers and research reports related to the study area,this paper used data multivariate statistical method to study the altered mineralization,element correlation,element spatial distribution and migration law in the Qiaomaishan Cu-S deposit.In addition,the selection of PXRF technique in the core testing method in the Qiaomaishan Cu-S deposit is discussed.The main achievements of this paper are as follows:(1)Through the selection of test method,core environment test and data comparison,a PXRF test data collection process suitable for the Qiaomaishan Cu-S deposit was established.The calibration equations of each element were obtained by calibrating the PXRF data based on the laboratory whole rock data of certain rock samples in the study area.(2)The content vertical trend of ore-forming elements Fe,S,Cu and W was mapped,mapping results showed that the abnormal areas with high value of elements were basically consistent with the orebody area.In addition,the correlation between Fe,S,Cu,W and Ca had a good indication for minerals.(3)The spatial depth distribution of major and trace elements in the Qiaomaishan CuS deposit was analyzed by ordinary Kriging interpolation.The results show that: The high values of Ca,Mn,Mg,Ag,Hg,Mo,U,Se,Co,As,Zn are basically corresponding to the high values of Fe,S,Cu,W.These trace elements are closely related to the distribution of ore-forming elements,and can be used as an indicator element for prospecting in the Qiaomaishan deposit.The high values of elements Al,Si,V,Ti,Zr,Y,Rb,Nb,Cr and Th show opposite changes to the high values of elements Fe,S,Cu and W.These elements can be used as negative feedback factors for the existence of orebodies.(4)The element assemblage representing the lithology of the deposit is obtained by principal component analysis.The element with positive correlation changes of Fe,S,Cu,W,Ca,Mn,Mg,Ag,Hg,U,Se,Co,As and Zn represents the element assemblage the orebody element assemblage of the Qiaomaishan Cu-S deposit.The assemblages of Al,S,Ca,V,Fe,Co,Se,Rb,Sr,Mo,Ag,W,Hg and Pb represent the element assemblages of granodiorite porphyry.The results of coefficient of variation show that the alteration is intense in skarn orebody and granodiorite porphyry,the distribution of elements is unstable.(5)The calculation of element enrichment index shows that the Qiaomaishan Cu-S deposit is accompanied by the migration and recombination of a large number of elements during the mineralization process.The elements Fe,Cu,S,W,Mn,Mg,Ag,Se,Co,Zn,Ca,Hg are significantly enriched in the orebody section.The results further reveal the enrichment,migration and distribution of elements in the Qiaomaishan Cu-S deposit,and obtain the element assemblage closely related to the orebody,which provides a certain guidance for the subsequent ore exploration in this area. |
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