Brough, C and Parbhakar-Fox, A and Garner, C and Fletcher, J and Barnes, A and Griffiths, R and Strongman, J and Bowell, R and Becker, M, Automated environmental analysis: multiple size fraction analysis of kinetic tests and implications for adjusted NNP and NPR values, Process Mineralogy '18 Programme, 19-21 November 2018, Cape Town, South Africa (2018) [Non Refereed Conference Paper]
Official URL: http://www.min-eng.com/processmineralogy18/
This paper presents image processing tools using in conjunction with multiple size fractions that have been utilised in the analysis of kinetic test feed samples from the Savage River iron-ore mine, Australia and an IOCG deposit in Scandinavia. These tools allow for the comparatively rapid assessment of sulfide liberation, by combining a bright phase search with the analysis of a dilation zone around the target of interest to ascertain either partial perimeter or area grade liberation. These tools have the potential for widespread application across process mineralogy assessments, presenting the potential for cost and time savings in the analysis of mineral liberation.
From this study, these liberation assessments are used to calculate a reconstructed locking value for the proportion of the sulfides and the carbonates within the sample that can be considered as locked, and are therefore, for textural reasons very slow or very unlikely to react. This locking proportion can be multiplied by the grades of the sulfides and the carbonates to obtain a texturally adjusted Net-Neutralisation Potential, and Neutralisation Potential Ratio value based on mineral exposure that better explains how the kinetic test is currently behaving, and will likely behave in the future. Quantifying the textural controls in this manner are a powerful tool for understanding kinetic tests and provides the overseeing geochemist with sufficient information and confidence to interpret current and likely future kinetic test behaviour.
|Item Type:||Non Refereed Conference Paper|
|Keywords:||acid rock drainage, geoenvironmental, prediction, waste management, mining|
|Research Division:||Earth Sciences|
|Research Field:||Geology not elsewhere classified|
|Objective Group:||Land and Water Management|
|Objective Field:||Mining Land and Water Management|
|UTAS Author:||Parbhakar-Fox, A (Dr Anita Parbhakar-Fox)|
|Deposited By:||CODES ARC|
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