矿石体重取值方法对储量估算的影响——以某铁铜矿为例

Influence of Determination Method of Volumetric Weight of Ore on Reserves Estimation:Taking an Iron & Copper Mine as a Case

为了提高资源储量估算的准确性,分析矿石体重取值方法对资源储量估算的影响,提出了一种基于插值方式的矿石体重赋值方法。首先基于某铁铜矿的勘探数据和勘探线剖面图,经过图形格式转换和坐标变换,构建了部分矿体的三维地质模型及地质数据库;其次进行矿石样品组合,采用距离幂次反比法推估矿体品位;然后依据矿石样品体重与品位的测试值,建立了矿石体重与品位的线性、二次、三次及对数回归模型,经过分析比较,确定二次回归模型为矿石体重插值模型;最后在矿体三维地质模型内对矿石体重进行插值并估算储量,分析储量估算结果并与传统矿石体重取值方法估算的资源储量进行比较。结果表明:上述2种方法估算的资源储量相差较小,采用基于插值方式估算的矿石平均品位稍高于传统方法,对于提高资源储量的估算精度具有一定的参考价值。

In order to enhance the accuracy of reserves estimation,analyze the influence of the determination method volumetric weight of ore on reserves estimation,a new determination method of volumetric weight of ore based on interpolation method is proposed. Firstly,based on the prospecting data and prospecting line profile maps of an iron copper mine,by graphics format conversion and coordinate transformation,the three dimensional geological model of part of the orebody of the iron copper and the geological database are established; secondly,the ore samples are grouped,and the distance power inverse ratio method is adopted to estimate the grade of orebody; thirdly,based on the test values of orebody samples weight and grade,the linear regression model,quadratic regression model,cubic regression model and logistic regression model interpolation model of volumetric weight of ore and grade are established. Through analysis and comparison,the quadratic regression model is identified as the volumetric weight of ore; finally,the interpolation of volumetric weight of ore is conducted within the three dimensional geological model of orebody,and the reserves are estimated. The reserves estimation results are analyzed,and comparison between the reserves estimation results and the traditional determination method of volumetric weight of ore is conducted. The results show that the difference of the above methods is less,and the average grade of ores estimated by the new method based on interpolation method is slightly higher than the traditional method. Therefore,the method proposed in this paper can provide some reference for enhancing the accuracy of reserves estimation.