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Correcting for the Dilution of Rakes Processed Sequentially from Multiple Mines at the BHP Billiton Iron Ore Newman Joint Venture Operations

机译:在BHP Billiton Iron Newman合资业务的多个地雷依次进行稀释的折叠稀释

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At BHP Billiton Iron Ore operations, run of mine ore from the several Newman Joint Venture (NJV) mines is railed in 12 kt rakes to Port Hedland. Rakes are processed sequentially, with the lump and fines components from each rake sampled after crushing and screening. The grade of ore from the individual mines varies around consistently different means. Although a discrete sample is attributed to each rake, the sample contains some material from the following and/or the preceding rakes due to dilution by ore from the neighbouring rakes during the dumping, screening and crushing processes. Individual rake grades at the port are therefore biased according to the mine sources of adjacently processed rakes. Dilution does not affect the grade of the overall NJV product or the accuracy of port stockpile grades; however, it does limit the ability to use port rake grades to review the quality performance of individual mines and provide meaningful lump-fines algorithms and port to mine biases for individual mines, information that is useful when scheduling ore for mining. A non-linear regression model has been used to estimate the average dilution from the preceding and following rakes. It has been shown that the lump and fines samples for 12 kt rakes are each diluted within the Port process with about 8.3 per cent of the sample coming from the preceding rake and about 3.6 per cent from the following rake. This can bias the reported rake grade by up to one per cent iron. The results of this analysis have been incorporated into the daily grade scheduling system to provide more accurate individual mine grade data and consequently better decision making.
机译:在BHP Billiton铁矿石运营中,来自几个纽曼合资企业(NJV)矿山的矿山矿石坐落于12千克港口到港湾港。耙子是顺序加工的,用肿块和粉末在破碎和筛选后的每次耙子中罚款。来自各个矿物的矿石等级周围始终不同的手段。尽管离散样品归因于每次耙子,但是由于在倾销,筛选和破碎过程中由邻近的邻近的凹饮料稀释,因此样品包含来自以下和/或前面的耙子的材料。因此,港口处的个别耙等级根据彼此的互补耙子的矿井来源偏见。稀释不会影响整体NJV产品的等级或端口库存等级的准确性;然而,它确实限制了使用港口耙等级来审查各个地雷的质量性能的能力,并为各个地雷提供有意义的Lump-Fines算法和端口,以便为各个地雷偏置偏置,这是在调度矿石时有用的信息。非线性回归模型已被用于估计前面和后续耙子的平均稀释。已经表明,12 kt耙子的肿块和罚款样品各自在港口过程中稀释,其中约8.3%来自前面的耙子,从以下耙子中的约3.6%。这可以将报告的耙等级偏向一百分点。该分析的结果已被纳入日龄调度系统中,以提供更准确的单个矿山等级数据,从而更好地决策。

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