同时随机优化与地质冶金决策在某铜金矿综合体中的应用

IF 1.8 Q3 MINING & MINERAL PROCESSING
Ashish Kumar, R. Dimitrakopoulos
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引用次数: 22

摘要

矿山复合体同步随机优化的目的是在品位、地学和材料类型不确定的情况下,用单一优化模型对其不同组成部分进行优化。单一优化模型利用了不同组成部分之间的协同作用以及所开采材料的量化可变性和不确定性,以更好地满足生产目标,同时最大化采矿综合体的净现值(NPV)。在优化模型中集成关于材料的地质冶金方面的不确定性和决策有助于实现更高和更稳定的粉碎电路吞吐量。本文介绍了在同步随机优化模型中,将半自生功率指数和粘结功指数两种非加性地学性质的不确定性与决策相结合的方法。在一个大型铜金矿综合体的应用表明,与传统计划相比,实现不同生产目标的机会更高,金属产量大幅增加,净现值增加19.3%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of simultaneous stochastic optimization with geometallurgical decisions at a copper–gold mining complex
ABSTRACT Simultaneous stochastic optimization of mining complexes aims to optimize its different components in a single optimization model under grade, geometallurgical and material type uncertainty. The single optimization model capitalizes on synergies between the different components and the quantified variability and uncertainty of the materials mined, to better meet production targets while maximizing the net present value (NPV) of a mining complex. Integrating uncertainty and decisions about geometallurgical aspects of materials in the optimization model assists in achieving higher and more stable throughput with comminution circuits. This paper introduces an approach to integrate uncertainty and decisions about two non-additive geometallurgical properties, semi-autogenous power index and bond work index in the simultaneous stochastic optimization model. An application of the proposed approach at a large copper–gold mining complex indicates higher chances of meeting the different production targets, substantial increase in metal production and a 19.3% increase in NPV compared to the conventional plan.
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
5
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