内华达州Twin creek矿区生产调度的同步随机优化

R. Dimitrakopoulos, L. Montiel
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引用次数: 32

摘要

Twin Creeks是纽蒙特内华达业务的一个金矿综合体。该采矿综合体由两个露天矿Mega和Vista、外部矿石来源和一组现有库存组成,所有这些都为高压釜、氧化物磨机和堆浸提供矿石。Mega矿坑为高压釜提供硫化物矿石,而Vista矿坑为氧化物磨机和堆浸提供氧化物矿石。两个矿井都使用相同的采矿设备,因此必须同时优化其开采顺序。严格的混合要求与硫化矿高压釜的操作有关。大规模的战略混合优化通过增加协同效应为操作带来了重大价值。本文介绍了Twin Creeks长期生产计划的随机优化框架的实现,该框架同时优化了采矿、储存、混合和加工决策变量。通过随机模拟将与不同材料来源相关的不确定性和可变性纳入优化模型。生成的随机解决方案显示出巨大的潜在效益,增加了预期可采黄金,导致预期现金流增加,同时通过增加达到生产和混合目标的概率来降低无法实现预测的风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous stochastic optimization of production scheduling at Twin Creeks Mining Complex, Nevada
Twin Creeks is a gold mining complex part of Newmont’s Nevada Operations. The mining complex is comprised of two open pits, Mega and Vista, external ore sources and a set of existing stockpiles, all providing ore for an autoclave, an oxide mill and a heap leach. Mega pit provides sulphide ore for the autoclave whereas Vista pit provides oxide ore for the oxide mill and the heap leach. Both pits operate the same mining equipment and therefore their extraction sequence must be optimized simultaneously. Stringent blending requirements are associated with the operation of the autoclave for the sulfide ore. Strategic blending optimization at large scale has brought significant value to the operation by increasing synergies. This paper presents the implementation of a stochastic optimization framework for the long-term production planning at Twin Creeks that simultaneously optimizes mining, stockpiling, blending and processing decision variables. The uncertainty and variability associated with the different sources of material is incorporated in the optimization model by means of stochastic simulations. The stochastic solution generated shows substantial potential benefits by increasing expected recoverable gold, leading to increased expected cash flows, while reducing the risk of not achieving the forecasts by increasing the probabilities of meeting production and blending targets.
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