Uncertainty and Value: Optimising Geometallurgical Performance Along the Mining Value Chain

Author:

Ortiz Julian M.1,Avalos Sebastian1,Riquelme Alvaro I.1,Leuangthong Oy2,Madani Nasser3,Frenzel Max4

Affiliation:

1. Queen’s University, Goodwin Hall, 25 Union Street, Kingston, Ontario, Canada K7L 3N6

2. SRK Consulting (Canada) Inc., 155 University Avenue, Suite 1500, Toronto, Ontario, Canada M5H 3B7

3. Nazarbayev University, 53 Kabanbay Batyr Ave., 010000, Astana City, Republic of Kazakhstan

4. Helmholtz-Zentrum Dresden-Rossendorf, Helmholtz Institute Freiberg for Resource Technology, Chemnitzer Str. 40, 09599 Freiberg, Germany

Abstract

To maximise the value of a mining operation and minimise its environmental and social impacts, all processes—from the ore deposit to the final product and waste streams—should be optimised together. However, mining and metallurgical processes are inherently variable and uncertain due to the natural heterogeneity of ore deposits and the limited information and incomplete models available on ore behaviour throughout the process chain. Propagating these effects to geometallurgical models is important because they are used to make decisions with potentially large environmental and economic impacts. In this paper, we describe the need for geometallurgical optimisation routines to account for the effects of uncertainties, and the tools needed to manage them, by summarising the routines that already exist and those that are still missing.

Publisher

Mineralogical Society of America

Reference25 articles.

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2. Projection pursuit multivariate transform;Barnett;Mathematical Geosciences,2014

3. Closed Loop Management in Mineral Resource Extraction: Turning Online Geo-Data into Mining Intelligence;Benndorf,2020

4. Geometallurgical modeling at Olympic Dam Mine, South Australia;Boisvert;Mathematical Geosciences,2013

5. Characterisation of ore properties for geometallurgy;Butcher;Elements,2023

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