Integrated stochastic optimisation of stope design and long-term production scheduling at an operating underground copper mine

被引:3
作者
Andrade, Laura Carelos [1 ]
Dimitrakopoulos, Roussos [1 ]
Conway, Phil [2 ]
机构
[1] McGill Univ, Dept Min & Mat Engn, COSMO Stochast Mine Planning Lab, Montreal, PQ H3A 0E8, Canada
[2] Dept Strateg Planning, BHP, Adelaide, SA, Australia
基金
加拿大自然科学与工程研究理事会;
关键词
Underground mining; mine planning; integrated stochastic optimisation; geological uncertainty; sublevel stoping; mathematical programming application; OPEN-PIT; MINING COMPLEXES; GEOLOGICAL UNCERTAINTY; RISK ANALYSIS;
D O I
10.1080/17480930.2024.2337499
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Conventional underground long-term mine planning is based on a deterministic stepwise framework, which is unable to effectively manage the synergies between the mine planning components or to manage the orebody risk in production schedules and forecasts. The present study enhances prior integrated optimisation approaches to a variation of the sublevel longhole open stoping mining method using backfilling, through a new two-stage stochastic integer programming formulation. A comparison to a sequential stochastic approach shows different stope layouts and extraction sequences for a copper mine with secondary elements being gold and uranium. The integrated approach shows lower horizontal development costs and 6% higher net present value.
引用
收藏
页码:619 / 641
页数:23
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