ABSTRACT

Stope design optimisation defines three-dimensional extraction volumes aiming to maximise cashflows, subject to geotechnical and operational constraints. Available stope layout methods are deterministic, failing to account for grade uncertainty and variability that affect stope locations and sizes, as well as value. A two-stage stochastic integer programming model for stope design optimisation is proposed, integrating grade uncertainty quantified through geostatistical simulations, level allocation, variable stope and pillar sizes for different geotechnical zones, and development costs. An application at an underground gold mine employing sublevel open stoping highlights the integration and management of grade uncertainty to define risk-resilient stope design.

摘要

采场设计优化定义了 3D 开采量，旨在最大化现金流，受岩土和运营限制。可用的采场布局方法是确定性的，没有考虑影响采场位置和大小以及价值的品位不确定性和可变性。提出了一种用于采场设计优化的两阶段随机整数规划模型，该模型集成了通过地质统计模拟量化的品位不确定性、水平分配、不同岩土带的可变采场和柱子尺寸以及开发成本。地下金矿采用分段露天采场的应用突出了品位不确定性的整合和管理，以定义风险弹性采场设计。