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Predicting ore grades in cave rock for large scale sublevel caving

机译:预测大型次崩落洞穴岩石的矿石品位

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LKAB's Kiruna Mine, located above the Arctic Circle in northern Sweden, is one of the world's largest most modern underground mines. The orebody is a high-grade magnetite iron ore and contains two distinct ore types, a high phosphorous content ore usually located against the hangingwall and a low phosphorous ore. Phosphorous is the major ore contaminant. The cave rock contains large amounts of high phosphorous ore remnants that are mixed with the low phosphorous in-situ rock during extraction. The grades of the cave rock must be accounted for when estimating the run-of-mine grades for each production blast. Since it is not possible to directly sample the cave rock, indirect methods must be used. An algorithm has been developed which uses principles of gravity flow to estimate the cave rock ore grades from the in-situ geologic block model. These estimates are then used in the model for prediction run of mine grades.
机译:LKAB的基律纳煤矿位于瑞典北部的北极圈上方,是世界上最大,最现代化的地下矿山之一。矿体是高品位磁铁矿铁矿石,包含两种不同的矿石类型,通常位于吊壁上的高磷含量矿石和低磷矿石。磷是主要的矿石污染物。洞穴岩石中含有大量的高磷矿石残渣,这些残渣在提取过程中与低磷原位岩石混合。在估算每个生产爆炸的扫雷等级时,必须考虑洞穴岩石的等级。由于不可能直接对洞穴岩石进行采样,因此必须使用间接方法。已经开发出一种算法,该算法使用重力流原理从原位地质区块模型估算出洞穴岩矿石的品位。然后,将这些估计值用于模型中的矿山品位预测运行。

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