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

  • Julian M. Ortiz
  • , Sebastian Avalos
  • , Alvaro I. Riquelme
  • , Oy Leuangthong
  • , Nasser Madani
  • , Max Frenzel

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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.

Original languageEnglish
Pages (from-to)377-383
Number of pages7
JournalElements
Volume19
Issue number6
DOIs
StatePublished - Dec 2023
Externally publishedYes

Keywords

  • : geometallurgy
  • optimisation
  • raw materials value chain
  • stochastic modelling
  • uncertainty

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