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A Set of Classified Integer Programming (IP) Models for Optimum Transition from Open Pit to Underground Mining Methods

机译:一组分类整数编程(IP)模型,用于从露天坑到地下采矿方法的最佳转换

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摘要

During the last few decades, open pit mines have been deepened to the remote depths of the ground such that removing great volumes of waste rocks may jeopardize their profitability. In such circumstances, an early transition from open pit to underground mining may prove more profitable. This is the case in many large-scale open pit mines, where considerable amount of mineral reserve remains beneath the pit bottom. This paper develops a set of classified integer programming models for determining an optimum transition depth (OTD) between open pit and various underground mining methods. The models lie within the scope of long-term production scheduling because the OTD is revealed through scheduling of all mineral reserve. To provide a quantitative analysis, two optimization models with distinct solution strategies are executed on a three-dimensional sector of a real orebody. The results indicate that the integrated models increase the total NPV of the mining operations by up to 8.62%. However, the scenario-based models enhance the primitive solution (the base scenario) by up to 3.42%. It is also shown that the integrated models present solutions that are practically more realistic.
机译:在过去的几十年中,露天矿山已经加深了地面的远程深度,以便去除大量的废物岩石可能会危及他们的盈利能力。在这种情况下,从露天挖掘到地下采矿的早期过渡可能证明更有利可图。这是许多大型露天矿井的情况,其中大量的矿物储备仍然仍然在坑底下方。本文开发了一组分类的整数编程模型,用于确定露天坑和各种地下采矿方法之间的最佳过渡深度(OTD)。该模型位于长期生产调度范围内,因为OTD通过所有矿物储备的调度揭示。为了提供定量分析,在真正的矿体的三维扇区上执行具有不同解决方案策略的两种优化模型。结果表明,集成模型将采矿业务的总NPV增加到8.62%。但是,基于场景的模型将原始解决方案(基本方案)增强高达3.42%。还表明,集成模型存在实际上更逼真的解决方案。

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