Three-dimensional Spatial Study Of The Dongping Tungsten Polymetallic Deposit In Wuning County,Jiangxi

Dongping tungsten polymetallic deposit is a super large quartz vein type wolframite deposit discovered for the first time in northern Jiangxi.The study of three-dimensional geological modeling is helpful to understand the spatial distribution characteristics of ore body grade and find the favorable position of deep tungsten mineralization.In this study,162 tungsten ore bodies in ore belt I and ore belt II of Dongping tungsten polymetallic deposit are taken as the research object.GOCAD and Micromine software are selected as the modeling software and the inverse distance weighting method is used as the estimation method of ore block model.By sorting out multi-source geological data and applying basic statistics and geostatistical analysis methods,the three-dimensional geological model of Dongping deposit is completed optimizing the estimation parameters of ore block model,estimating resource reserves,summarizing the spatial distribution characteristics of ore body grade and predicting the favorable parts of tungsten mineralization.The specific research results are as follows:（1）Through the analysis and processing of multi-source geological data,the three-dimensional original geological database is constructed,and a method of constructing complex ore surface model following the principle of"segmented construction of upper top surface and lower bottom surface of ore body"is proposed,which realizes the more accurate and reasonable construction of three-dimensional surface models of 162 tungsten ore bodies in Dongping tungsten polymetallic deposit;through the basic statistical analysis of the original samples,it is found that the combined sample length has a significant impact on the of grade specific value reduces the reliability of the sample data involved in the valuation.（2）Through the cross validation method,comparative analysis method and average variogram variation curve,the influencing parameters of ore block model estimation such as power of inverse distance weighting method,ore block size,estimation search radius and discretization coefficient are optimized respectively,which significantly improves the estimation accuracy and efficiency of ore block model.（3）The estimation of ore block model is completed by the inverse distance weighting method,and the evaluation effect of the inverse distance weighting method is verified by using the segmented average grade map along the Y direction and Z direction as the internal test method;through the comparative analysis of the resource reserve estimation results of the traditional block method and the inverse distance weighting method,it is verified that the estimation results of the inverse distance weighting method are relatively reliable.（4）Through the cumulative grade tonnage comparison map,it is found that the ore volume distribution in ore belt I is more concentrated and the average grade of WO₃ is relatively high;by summarizing the three-dimensional spatial distribution characteristics of low-grade ore blocks and high-grade ore blocks in ore belt I and ore belt II,it is found that the prospecting potential of ore belt I along the dip to the deep is relatively small,and the prospecting potential of ore belt II along the dip to the deep is relatively large.