| The Bulaketao copper deposit is located 40 kilometers to the east of Wuqia County in the west of Xinjiang.It belongs to the copper,lead zinc,iron,vanadium,titanium,tin and phosphorus metallogenic belt in the tielieke sarbil upper basin.It is a favorable resource area for searching for sandstone type copper deposits in the west of Xinjiang.The predecessors have done a lot of scientific research and work in this area.In some areas,there are repeated collection and incompatibility of spatial data,and the development and utilization of these data are not enough,and the prospecting effect has not made a big breakthrough.Therefore,the research on multi-source spatial data integration analysis and quantitative prediction in blaketao copper mine can change the phenomenon of "geographic information island" on the one hand,and find new replacement resources on the other hand.Based on the demand analysis of quantitative prediction,this paper completes the collection of geological,physical,chemical and drilling spatial data in the study area,integrates and statistically analyzes the multi-source spatial data through ArcGIS software,quantifies the metallogenic law and characteristics of the study area,and combines the basic geological prospecting law to delineate the favorable metallogenic area,and carries out the quantitative prediction of the deep ore body.Through the above work,we have gained the following understanding:1.Based on the study of regional geological background,the genetic type and orebearing horizon of the deposit are clarified.Combined with the geological characteristics of the deposit in the study area,blaktao copper mine is a sedimentary reformed sandstone type copper mine,and the lower Cretaceous Kizilsu group is the main ore-bearing horizon.2.Based on the buffer zone analysis and superposition analysis of multi-source spatial data,the spatial relationship among the objects is extracted,and the quantitative metallogenic characteristics are obtained from the geostatistical analysis,and the main ore controlling factors,lithology and structural alteration fracture zone are summarized.Through spatial autocorrelation analysis and cluster analysis,it is concluded that Cu,Pb,Zn element combinations show clustering characteristics in space,and there is good correlation between element combinations;from the spatial distribution of measured geochemical data,it is concluded that the high value areas of Cu element are mostly in the lower Cretaceous Kizilsu group,and the high value areas of Zn element are mostly in the structural alteration fracture zone.3.Based on the spatial interpolation analysis of geochemical and geophysical exploration,the area of anomaly is delineated in the middle and southwest of the study area,and combined with the basic geological metallogenic law and the information of boreholes and exploration grooves,the YC1 area is finally delineated as a favorable metallogenic area.4.Based on the three-dimensional geological entity modeling of Yc1 area,the quantitative prediction of 0-line and 9-line deep ore(chemical)body is carried out by the weight of evidence method,and according to the probability and confidence after mineralization combined with the specific geological conditions for the ore-forming favorable sections(class I,class II and class III),14 ore-forming favorable sections are delineated,including 5 in class I,5 in class II and 4 in class III.5.Through three-dimensional visual analysis and Simulation of the predicted Cu ore(mineralized)bodies,it can be seen that the ore(mineralized)bodies with Cu grade higher than 0.1% are mostly distributed in lumps and strips.The best favorable position for mineralization is the depth of-20 ～-180 m between points 100～160 of line 0,the posterior probability is 0.54,the confidence degree is greater than 97.5%,and the reliability is high. |
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