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An application of simultaneous stochastic optimisation of an open-pit mining complex with tailings management
Authors:Ziad Saliba  Roussos Dimitrakopoulos
Affiliation:1. COSMO – Stochastic Mine Planning Laboratory;2. Department of Mining and Materials Engineering, McGill University , Montreal, Quebec, Canada ziad.saliba@mail.mcgill.ca"ORCIDhttps://orcid.org/0000-0003-2726-843X;4. Department of Mining and Materials Engineering, McGill University , Montreal, Quebec, Canada "ORCIDhttps://orcid.org/0000-0001-7329-2209
Abstract: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.
Keywords:Simultaneous stochastic optimisation  mining complexes  supply uncertainty  CapEx evaluation  tailings management
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