Mineralogical Tools for Ore Characterization – Key Data at all Steps of Iron Ore Concentration

Canadian Institute of Mining, Metallurgy and Petroleum
Sylvie Lévesque Frederic Couët Laura Pérez-Barnuevo Cory Hennessey
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
13
File Size:
3017 KB
Publication Date:
Jan 1, 2016

Abstract

Determining mineralogical characteristics of samples throughout the iron ore concentration process – from drill core samples up to the concentrate – is critical to process improvement and remediation. However, assessment of mineral proportions, liberation, and texture, although essential, can be time-consuming and costly. Thus, a mineralogical study is often not performed or only restricted to a limited number of samples. New iron ore deposits or new ore zones in active mines will bring new challenges as they are known to be problematic due to their lower grades, complex textures and presence of mineral impurities. In those cases, applied process mineralogy will be necessary to understand and to diagnose potential processing issues. To take full advantage of mineralogical information along the iron ore concentration process, new tools are being developed to provide mineralogical data based on texture, composition and liberation. In an early stage at the mine, the automated identification of drill core textures could provide essential information for the prediction of ore concentrability and grindability. In a later stage, the automated modal tool, combining the knowledge of the iron ore mineralogy of a specific deposit and the results of chemical analyses, can quantify the mineral proportions of the ore; results show good agreement between mineral estimation via chemical analysis and modal analysis using a Mineral Liberation Analyser. A bulk mineralogical analyser allowing semi-quantitative evaluation of the liberation of iron oxides is being validated. The results from the bulk mineralogical analyser will eventually be linked with the mineral proportions issued by the automated modal tool to provide complete mineralogical characteristics of iron ore samples. Ultimately, these mineralogical tools could provide valuable and timely insight for predicting concentrators’ performances or troubleshooting gravity separation processes.
Citation

APA: Sylvie Lévesque Frederic Couët Laura Pérez-Barnuevo Cory Hennessey  (2016)  Mineralogical Tools for Ore Characterization – Key Data at all Steps of Iron Ore Concentration

MLA: Sylvie Lévesque Frederic Couët Laura Pérez-Barnuevo Cory Hennessey Mineralogical Tools for Ore Characterization – Key Data at all Steps of Iron Ore Concentration. Canadian Institute of Mining, Metallurgy and Petroleum, 2016.

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