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Ore characterization, process mineralogy and lab automation a roadmap for future mining
•Automated mineralogical analyses enable mining operations to perform daily process support.•Process mineralogy also should be used in the development phases of new projects as an integral part of Geo-Metallurgy.•Metallurgical modeling should include more quantitative mineralogy data.•Down-Hole and...
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Published in: | Minerals engineering 2014-06, Vol.60, p.69-73 |
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Main Author: | |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Automated mineralogical analyses enable mining operations to perform daily process support.•Process mineralogy also should be used in the development phases of new projects as an integral part of Geo-Metallurgy.•Metallurgical modeling should include more quantitative mineralogy data.•Down-Hole and Cross-Belt Analysis will become increasingly important for Process Mineralogy.
Mineralogical laboratory technology has undergone seismic shifts since the introduction of automated mineral analyzers and other quantitative tools such as XRD Rietveld analysis. During the last 25years, these changes have positioned mineralogical data into the front line of ore characterization, process control and plant optimization. The continuous deterioration of ore quality in regard to grade, hardness, finer particle sizes and the increase of metallurgical complexities have made modern process mineralogy an integral part of new project development. In addition, it has supported improvement of existing plants and the better utilization of tailings or other residues. Automation in mineralogical (and chemical) laboratories from sample preparation to analysis has been the baseline for these improvements. This paper will highlight key benchmarks of mineralogical work from ore characterization to advanced process mineralogy including the increasing importance of mineralogical mine site laboratories. A roadmap for the future of operations-oriented process mineralogy will be provided. |
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ISSN: | 0892-6875 1872-9444 |
DOI: | 10.1016/j.mineng.2013.11.008 |