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Managing Geologic Uncertainty in Pit Shell Optimization Using a Heuristic Algorithm and Stochastic Dominance
Mining, Metallurgy & Exploration ( IF 1.9 ) Pub Date : 2020-01-13 , DOI: 10.1007/s42461-019-00165-w
T. Acorn , J. B. Boisvert , O. Leuangthong

Optimizing final pit limits for stochastic models provides access to geologic and economic uncertainty in the pit optimization stages of a mining project. This paper presents an approach for optimizing final pit limits for a highly variable and geologically complex gold deposit. A heuristic pit optimizer is used to manage the effect of geological uncertainty in the resources within a pit shell with multiple uncertainty rated solutions. The uncertainty rated pit shells follow the mean-variance criterion to approximate the efficient frontier for final pit limits. Stochastic dominance rules are then used in a risk management framework to further eliminate sub-optimal solutions along the efficient frontier. This results in a smaller set of final pit shells that could be further analyzed for production scheduling. Additionally, the original solutions are analyzed for changes in the mining limits and two regions are targeted as potential regions for further exploration.

中文翻译:

使用启发式算法和随机优势管理坑壳优化中的地质不确定性

优化随机模型的最终矿坑限制可以在采矿项目的矿坑优化阶段提供地质和经济不确定性。本文提出了一种优化高度可变且地质复杂的金矿床的最终矿坑界限的方法。启发式矿坑优化器用于管理具有多个不确定性评级解决方案的矿坑壳内资源的地质不确定性的影响。不确定性评级坑壳遵循均值方差准则来近似最终坑限制的有效边界。然后在风险管理框架中使用随机优势规则,以进一步消除沿有效边界的次优解决方案。这导致了一组较小的最终坑壳,可以进一步分析生产计划。此外,
更新日期:2020-01-13
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