M POWELL, S KANCHIBOTLA, V JOKOVIC, M HILDEN, B BONFILS, A MUSUNURI, P MOYO, S YU, J YOUNG, P YAROSHAK, E YALCIN AND B GORAIN
14thAusIMM Mill Operators’ Conference, 29-31 August 2018, Brisbane, Australia
ABSTRACT
This work goes beyond the general perception of how the well-known mine to mill process can be applied, by
applying deeper knowledge along the mining chain. Grade deportment and dilution are considered at the
mining stage, and modelled with the new SMI blast movement simulator, linking with the block model data.
Assessing the shift to a considerably more competent section of the orebody is quantified via substantial
milling trials at standard and higher-intensity blasts. These were stockpiled for batch processing through the
mill to ensure feed integrity. The trial work included operating the mill at widely different fillings to develop
Grindcurve milling responses. Additionally, model informed process control is initiated via a mill prediction
tool.
It has been found that accounting for blast movement for the higher intensity blasts could generate additional
value of around $1.5M per blast. With the high-intensity blast and changing mill control, the plant was easily
able to exceed projected mill throughputs with the far more competent Pipeline ore. Strategies to shift the
workload and debottleneck the milling circuit were proposed and proven during the milling trials,
demonstrating an increase in throughput of 7 per cent despite running at a lower SAG mill speed, and
potential of 16 per cent for increasing the SAG mill to standard operating speed. A number of process
improvement opportunities have been identified to enhance current productivity and ensure long term
capability to process the considerably more competent future ores. All of this is being linked in with the major
digitisation program at the Barrick Cortez site, with an objective of linking all the data into a mine-wide
process optimisation system, that can embed the processes by providing process-wide data access and
production support via the future dynamic models linking ore body knowledge to productivity along the full
process chain.
AUTHOR DETAILS
M POWELL (1), S KANCHIBOTLA (2), V JOKOVIC (3), M HILDEN (4), B BONFILS (5), A MUSUNURI (6), P MOYO (7), S YU (8), J YOUNG (9), P YAROSHAK (10), E YALCIN (11) AND B GORAIN (12)
(1) FAusIMM, Professorial Fellow, Prof, Sustainable Minerals Institute, University of Queensland, St Lucia, Queensland, 4068, Australia. Email:
(2) Professorial Fellow, Prof, Sustainable Minerals Institute, University of Queensland, St
Lucia, Queensland, 4068, Australia. Email:
(3) Senior Research Fellow, Dr, JKMRC, SMI, University of Queensland, St Lucia, Queensland,
4068, Australia. Email:
(4) Senior Research Fellow, Dr, JKMRC, SMI, University of Queensland, St Lucia, Queensland,
4068, Australia. Email:
(5) Research Fellow, Dr, JKMRC, SMI, University of Queensland, St Lucia, Queensland, 4068,
Australia. Email:
(6) Consultant, JKTech, Indooroopilly, Brisbane, Queensland, 4068, Australia. Email:
(7) Senior Metallurgist, Ms, Barrick Cortez Mine, Elko, Nevada, USA. Email:
(8) Senior Metallurgist, Dr, Barrick Cortez Mine, Elko, Nevada, USA. Email:
(9) Metallurgist II, Barrick Cortez Mine, Elko, Nevada, USA. Email:
(10) Process Engineer, Barrick Cortez Mine, Elko, Nevada, USA. Email:
(11) Digitization Manager, Barrick Cortez Mine, Elko, Nevada, USA. Email:
(12) Director Strategic Technology Solutions, Dr, Barrick Gold Corporation, 3700-161 Bay Street, Toronto, ON M5J 2S1, Canada, Email:
ACKNOWLEDGEMENTS
CEEC acknowledges and thanks The Australian Institute of Mining and Metallurgy for organising the 14thAusIMM Mill Operators’ Conference (MillOps 2018).
Abstracts can be found at the MillOps 2018 website.