Effects of High-Order Simulations on the Simultaneous Stochastic Optimization of Mining Complexes

A mining complex is composed of mines, mineral processing streams, stockpiles, and waste facilities, which culminate with generated products that are delivered to customers. The supply uncertainty and variability of materials extracted from the mines, which flow through a mining complex to generate...

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Main Authors: Joao Pedro de Carvalho, Roussos Dimitrakopoulos
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Minerals
Subjects:
Online Access:https://www.mdpi.com/2075-163X/9/4/210
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spelling doaj-0388cb2aae2e4b5f9ef4fa23848784222020-11-24T22:28:49ZengMDPI AGMinerals2075-163X2019-03-019421010.3390/min9040210min9040210Effects of High-Order Simulations on the Simultaneous Stochastic Optimization of Mining ComplexesJoao Pedro de Carvalho0Roussos Dimitrakopoulos1COSMO—Stochastic Mine Planning Laboratory, Department of Mining and Materials Engineering, McGill University, Montreal, QC H3A 0E8, CanadaCOSMO—Stochastic Mine Planning Laboratory, Department of Mining and Materials Engineering, McGill University, Montreal, QC H3A 0E8, CanadaA mining complex is composed of mines, mineral processing streams, stockpiles, and waste facilities, which culminate with generated products that are delivered to customers. The supply uncertainty and variability of materials extracted from the mines, which flow through a mining complex to generate products, can be quantified through geostatistical simulations and can be used as inputs to the simultaneous optimization of mining complexes. A critical aspect to consider is that mineral deposits are characterized by spatially complex, non-Gaussian geological properties and multiple-point connectivity of high-grades, features that are not captured by conventional second-order simulation methods. This paper investigates the benefits of simultaneously optimizing a mining complex where the simulations of the mineral deposit are generated by a high-order, direct-block simulation approach. The optimized life-of-mine (LOM) production schedule is compared to a case in which the same setting is optimized by having the related simulations generated using a second-order simulation method. The comparison shows that the incorporation of simulations that reproduce the spatial connectivity of high-grades results in a more informed LOM production schedule. The sequence of extraction is driven by the spatial connectivity of high-grades, resulting in a mill throughput with better material quality and reduced waste extraction. Furthermore, the discounted cash-flow increases by more than 5% as compared to the case in which the second-order simulations are used.https://www.mdpi.com/2075-163X/9/4/210simultaneous optimization of mine complexeshigh-order simulationdirect block support simulationconnectivity of high-grades
collection DOAJ
language English
format Article
sources DOAJ
author Joao Pedro de Carvalho
Roussos Dimitrakopoulos
spellingShingle Joao Pedro de Carvalho
Roussos Dimitrakopoulos
Effects of High-Order Simulations on the Simultaneous Stochastic Optimization of Mining Complexes
Minerals
simultaneous optimization of mine complexes
high-order simulation
direct block support simulation
connectivity of high-grades
author_facet Joao Pedro de Carvalho
Roussos Dimitrakopoulos
author_sort Joao Pedro de Carvalho
title Effects of High-Order Simulations on the Simultaneous Stochastic Optimization of Mining Complexes
title_short Effects of High-Order Simulations on the Simultaneous Stochastic Optimization of Mining Complexes
title_full Effects of High-Order Simulations on the Simultaneous Stochastic Optimization of Mining Complexes
title_fullStr Effects of High-Order Simulations on the Simultaneous Stochastic Optimization of Mining Complexes
title_full_unstemmed Effects of High-Order Simulations on the Simultaneous Stochastic Optimization of Mining Complexes
title_sort effects of high-order simulations on the simultaneous stochastic optimization of mining complexes
publisher MDPI AG
series Minerals
issn 2075-163X
publishDate 2019-03-01
description A mining complex is composed of mines, mineral processing streams, stockpiles, and waste facilities, which culminate with generated products that are delivered to customers. The supply uncertainty and variability of materials extracted from the mines, which flow through a mining complex to generate products, can be quantified through geostatistical simulations and can be used as inputs to the simultaneous optimization of mining complexes. A critical aspect to consider is that mineral deposits are characterized by spatially complex, non-Gaussian geological properties and multiple-point connectivity of high-grades, features that are not captured by conventional second-order simulation methods. This paper investigates the benefits of simultaneously optimizing a mining complex where the simulations of the mineral deposit are generated by a high-order, direct-block simulation approach. The optimized life-of-mine (LOM) production schedule is compared to a case in which the same setting is optimized by having the related simulations generated using a second-order simulation method. The comparison shows that the incorporation of simulations that reproduce the spatial connectivity of high-grades results in a more informed LOM production schedule. The sequence of extraction is driven by the spatial connectivity of high-grades, resulting in a mill throughput with better material quality and reduced waste extraction. Furthermore, the discounted cash-flow increases by more than 5% as compared to the case in which the second-order simulations are used.
topic simultaneous optimization of mine complexes
high-order simulation
direct block support simulation
connectivity of high-grades
url https://www.mdpi.com/2075-163X/9/4/210
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