Development of an optimal draw control strategy for a sublevel caving operation at Malmberget mine

Gurmeet Shekhar, A. Gustafson, K. Jonsson, J. Martinsson, H. Schunnesson
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Abstract

ABSTRACT This paper addresses the identification of the optimal draw control strategy for a sublevel caving (SLC) operation at Malmberget mine in Sweden. Two mathematical models, a probability model and an economic model, were created using five datasets: bucket weights, bucket grades, extraction ratio, mine economics parameters and production constraints. The probability model was used to generate a set of simulated bucket weights and corresponding bucket grades which acts as a ‘virtual mine’ environment. The economic model assesses the economic impact of loading at the draw point. Two approaches to draw control were tested using the ‘virtual mine’ created by the probability model. Based on the results of the simulation tests, an optimal draw control strategy is suggested for a field test at the mine. The new draw control strategy optimises further the loading operation at Malmberget mine. The paper shows a roadmap for optimising draw control strategy for SLC operations.
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Malmberget矿分段崩落开采最优放煤控制策略的开发
摘要本文研究了瑞典Malmberget矿分段崩落法(SLC)开采过程中最优抽采控制策略的确定。利用桶重、桶级、开采比、矿山经济参数和生产约束等5个数据集,建立了概率模型和经济模型。利用概率模型生成一组模拟的桶重和相应的桶等级,作为“虚拟矿山”环境。经济模型评估了在牵引点加载的经济影响。利用概率模型建立的“虚拟地雷”,对两种绘制控制方法进行了测试。在模拟试验结果的基础上,提出了矿井现场试验的最优抽采控制策略。新的抽采控制策略进一步优化了Malmberget矿的装载作业。本文给出了一个优化SLC作业的绘图控制策略的路线图。
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CiteScore
2.20
自引率
9.10%
发文量
5
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