The value of automated mineralogy

Gu, Ying, Schouwstra, Robert and Rule, Chris (2014) The value of automated mineralogy. Minerals Engineering, 58 100-103. doi:10.1016/j.mineng.2014.01.020

Author Gu, Ying
Schouwstra, Robert
Rule, Chris
Title The value of automated mineralogy
Journal name Minerals Engineering   Check publisher's open access policy
ISSN 0892-6875
Publication date 2014-01-01
Sub-type Article (original research)
DOI 10.1016/j.mineng.2014.01.020
Open Access Status Not yet assessed
Volume 58
Start page 100
End page 103
Total pages 4
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon
Language eng
Subject 2207 Control and Systems Engineering
1600 Chemistry
1909 Geotechnical Engineering and Engineering Geology
2210 Mechanical Engineering
Abstract Automated mineralogy methods and tools, such as the Mineral Liberation Analyser (MLA) and the QEMSCAN, are now widely used for ore characterization, process design and process optimization. Several case studies published recently demonstrate that large gains can be obtained through grinding and flotation optimization guided by automated mineralogy data. However, since automated mineralogy can only provide the information pointing to where the process gains can be made, it does not directly impact the production gain. Thus the question is often asked: how to value the contribution of automated mineralogy to process improvement at a particular plant. This appears to be a difficult question to answer. On close examination however, it is found that this is essentially a question of the value of information and this is reasonably well documented in various other industries. Hubbard, 2010, in chapter 7 "Measuring the Value of Information", dealt with exactly this type of problem. The value of information is the reduced risk of an investment and opportunity loss. The methods Hubbard developed can be applied to estimate the value of automated mineralogy, as well as metallurgical test work, both producing information that reduces the risk of investment.This paper first introduces Hubbard's theory on the value of information and how to measure it. It then applies his methods to estimate the value of automated mineralogy, using Anglo Platinum's fine grinding project as an example. In the end, a general model is developed to allow the simulation of the value of automated mineralogy in different mining operations constrained by different parameters.
Keyword Automated mineralogy
Concentrator optimisation
Value of information
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Julius Kruttschnitt Mineral Research Centre Publications
Official 2015 Collection
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 12 times in Scopus Article | Citations
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Created: Mon, 24 Feb 2014, 22:56:47 EST by Karen Holtham on behalf of Julius Kruttschnitt Mineral Research Centre