Estimating comminution indices from ore mineralogy, chemistry and drill core logging

Hunt, J., Kojovic, T. and Berry, R. (2013). Estimating comminution indices from ore mineralogy, chemistry and drill core logging. In: Simon Dominy, Proceedings: The Second AusIMM International Geometallurgy Conference (GeoMet) 2013. GeoMet 2013: The Second AusIMM International Geometallurgy Conference, Brisbane, QLD, Australia, (173-176). 30 September-2 October, 2013.

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Name Description MIMEType Size Downloads
Author Hunt, J.
Kojovic, T.
Berry, R.
Title of paper Estimating comminution indices from ore mineralogy, chemistry and drill core logging
Conference name GeoMet 2013: The Second AusIMM International Geometallurgy Conference
Conference location Brisbane, QLD, Australia
Conference dates 30 September-2 October, 2013
Proceedings title Proceedings: The Second AusIMM International Geometallurgy Conference (GeoMet) 2013
Place of Publication Carlton, VIC, Australia
Publisher The Australasian Institute of Mining and Metallurgy (AusIMM)
Publication Year 2013
Sub-type Fully published paper
ISBN 9781921522970
9781921522901
9781921522987
Editor Simon Dominy
Start page 173
End page 176
Total pages 4
Collection year 2014
Language eng
Formatted Abstract/Summary
Geometallurgy aids the understanding of orebody variability through the integration of geological and processing information, thereby enabling spatial mapping of processing (eg comminution or separation) performance across a deposit. In order to do this, estimates of quantitative geometallurgical attributes are needed so that continuous downhole profiles can be generated for each attribute, providing vital data for the development of processing domains through geostatistical modelling. However, as traditional comminution tests are high cost and/or require large samples, current practice typically results in insufficient data density and distribution of comminution indices making it difficult to model and map deposit scale variability. The aim of this work was to find a method to estimate comminution indices based on data that is widely available at mine sites. This data includes mineralogy and chemistry of drill core samples, plus logging information such as lithology and alteration. Work to date indicates that comminution parameters such as semi-autogenous grinding (SAG) Power Index (SPI), Bond Work Index (BWI) and A*b (Julius Kruttschnitt Mineral Research Centre (JKMRC) drop weight test (DWT) Index) can be modelled using chemical and/or mineralogical data. The estimated hardness indices can then be propagated into the mine site database and used in the definition of processing domains that map inherent variability across a deposit. The estimates can thus provide geometallurgical inputs for spatial modelling, mine planning and optimisation initiatives.
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

 
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Created: Thu, 14 Nov 2013, 14:41:32 EST by Jon Swabey on behalf of Sustainable Minerals Institute