矿石体重回归分析在新疆乌宗布拉克矿区的应用研究

Application of ore volumetric weight regression analysis in study of polymetallic deposit

在资源储量估算的过程中,矿石小体重的准确与否将直接影响到资源储量估算的客观程度。对矿石小体重的准确预测将需要通过大量的统计分析工作,传统的方法是利用矿石小体重的算术平均值进行估算矿床资源储量,并没有考虑到多矿种对矿石小体重的影响程度。本文利用Excel软件“数据分析”的“回归”功能模块,对实验室所测定的矿石小体重值与其对应品位进行二元线性回归分析,快速、准确地构建矿石体重与其品位的数学模型,从而为资源储量估算提供了更客观、更科学的矿石体重模型。

The accuracy of small volumetric weight affect directly the objective degree of resources reserves estimation.The accurate prediction of the small volumetric weight requires a lot of statistical analysis.Traditionally the arithmetic mean value of the small volumetric weight is used to estimate the resources reserves of ore deposits without considering the influence of multi-ores on the small volumetric weight.In this paper is used the regression function module of"data analysis"of Excel software to carry out binary linear regression analysis on the small volumetric weight value and it's corresponding grade determined in Lab so as to quickly and accurately build a mathematic model of the volumetric weight and grade and provide a more objective and scientific volumetric weight model for resources reserves estimation.