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

Citation

Hunt, J and Kojovic, T and Berry, R, Estimating comminution indices from ore mineralogy, chemistry and drill core logging, Proceedings of The Second AusIMM International Geometallurgy Conference (GeoMet) 2013, 30 September-2 October 2013, Brisbane, Australia, pp. 173-176. ISBN 9781921522970 (2013) [Refereed Conference Paper]

Copyright Statement

Copyright 2013 Australasian Institute of Mining and Metallurgy

Official URL: http://www.ausimm.com.au/publications/epublication...

Abstract

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.

Item Details

Item Type:Refereed Conference Paper
Research Division:Earth Sciences
Research Group:Geochemistry
Research Field:Exploration Geochemistry
Objective Division:Environment
Objective Group:Land and Water Management
Objective Field:Mining Land and Water Management
Author:Hunt, J (Dr Julie Hunt)
Author:Berry, R (Associate Professor Ron Berry)
ID Code:89773
Year Published:2013
Deposited By:Centre for Ore Deposit Research - CODES CoE
Deposited On:2014-03-14
Last Modified:2017-11-02
Downloads:4 View Download Statistics

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