ABSTRACT

This paper presents an application of a stochastic framework that simultaneously optimises mining, destination, processing and tailings management decisions for a multi-pit gold mining complex. The application explicitly accounts for supply uncertainty via stochastic orebody simulations. The tailings management component of the case study integrates a capital expenditure investment option to expand the existing tailings storage facility, evaluating its feasibility within the simultaneous stochastic optimisation framework. The results provide a risk-resilient long-term schedule that produces more metal than conventional forecasts and show that the operation has a positive growth outlook beyond its current life-of-mine.

摘要

本文介绍了一种随机框架的应用程序，该框架可同时优化多坑金矿开采场的采矿，目的地，加工和尾矿管理决策。该应用程序通过随机矿体模拟显式说明了供应不确定性。案例研究的尾矿管理部分集成了一项资本支出投资方案，以扩展现有的尾矿存储设施，并在同时随机优化框架内评估其可行性。结果提供了一个具有风险承受力的长期计划，该计划生产的金属量比传统的预测要多，并且表明该矿场的开采前景超出了其当前的开采年限。