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[an error occurred while processing this directive]Study on Optimization of Grade Estimation Method of Muckpile in Open-pit Uranium Mine
Received date: 2019-06-29
Revised date: 2019-07-20
Online published: 2019-08-19
In recent years,due to the impact of Fukushima nuclear leakage accident,the price of natural uranium has continued to decline,and more and more uranium mines have gradually attached importance to the utilization of resources.Muckpile is the smallest mining unit in open-pit mine.Finding out the grade distribution in muckpile is very important for blasting charge,network connection design,ore block design and shoveling operation.At the same time,it is very important to reduce dilution and loss and improve resource utilization. Grade estimation of muckpile is an extremely important routine work in open-pit uranium mines.In order to get the grade estimation results quickly and accurately,the basic principles of the nearest neighbor method,the inverse distance weighted method and the ordinary Kriging method are introduced.Taking a foreign uranium mine as an example,the bench height of the open-pit uranium mine is 7.5 m.The bench is divided into several muckpiles by single bench mining.The blasting hole grid is about 6 m×6 m.Gamma logging is used to obtain the grade information of each blasting hole in the ore-bearing muckpile.The logging interval is 0.1 m,that is,the original sample length is 0.1 m,and Gamma logging is not carried out in the pure waste muckpile.Using three-dimensional mining software,four muckspiles were selected to carry out grade estimation experiments.Based on the estimation results of the ordinary Kriging method,the deviation,statistics and graphical analysis of the estimation results of the nearest neighbor method and the inverse distance weighted method were carried out successively.The results show that the deviation of the inverse distance weighted method is generally smaller than that of the ordinary Kriging method in ore quantity and average grade,the maximum deviation of ore quantity is only 6.19%,while that of the nearest neighbor method is generally larger,and the maximum deviation of ore quantity is 27.6%.The accuracy of the nearest neighbor method is close to that of the ordinary Kriging method,and the accuracy of estimation meets the requirements of actual production of mines.It can be used to estimate the grade of muckpile.However,the nearest neighbor method has a relatively poor estimation accuracy and can not be used to estimate the grade of muckpile.The inverse distance weighted method,as a grade estimation method of muckpile,has a simple operation process and relatively definite parameters,which can save a lot of time while satisfying the requirement of estimation accuracy.The research results can provide guidance and reference for similar open-pit uranium mines to estimate the grade of muckpile.
Qiren TAN , Wenming DONG , Lin BI , Xingqi CAI , Xiaohu MIAO . Study on Optimization of Grade Estimation Method of Muckpile in Open-pit Uranium Mine[J]. Gold Science and Technology, 2019 , 27(4) : 573 -580 . DOI: 10.11872/j.issn.1005-2518.2019.04.573
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