3916 XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3
flowsheet and investigate how such a variability may shift
the limitation between SAG and ball milling circuits. This
issue can pose a potential risk of underutilization of equip-
ment/ available power, increased grinding consumables
and likely throughput restrictions over the life of mine. In
conclude, it is expected that the multi-component breakage
modelling and description based on the ExDWT ore char-
acterisation approach offering new avenues to the opera-
tions to better tune their design and optimisation strategies
for optimal strategic and tactical outcomes.
ACKNOWLEDGMENTS
The authors would like to acknowledge The University
of Queensland and JKTech Pty Ltd. for sponsoring this
research between 2015–2019, and we also gratefully
acknowledge Barrick Cortez gold mine for supplying the
samples. We acknowledge CRC ORE for providing a
research platform for conduct of simulations in 2020. The
authors acknowledge Dassault Systèmes for sponsoring the
presentation of this work at the XXXI IMPC-International
Mineral Processing Congress. Last but not least, we sin-
cerely thank the conference organizers and reviewers for
their hard work in bringing the community together and
providing a platform for exchanging knowledge.
REFERENCES
Bailey, C., Lane, G., Morrell, S., &Staples, P. (2009).
What can go wrong in comminution circuit design.
Proceedings of the 10th Mill Operatirs’ Conference,
Adelaide, SA,.
Burger, B., McCaffery, K., Jankovic, A., Valery, W., &
McGaffin, I. (2006). Batu Hijau model for throughput
forecast, mining and milling optimisation and expan-
sion studies. Advances in comminution, 461–479.
Carrasco, C., Keeney, L., Napier-Munn, T. J., &Bode,
P. (2017). Unlocking additional value by optimising
comminution strategies to process Grade Engineering ®
streams. Minerals Engineering, 103–104, 2–10. doi:
10.1016/j.mineng.2016.07.020.
CRCORE. (2020). Integrated Extraction Simulator (IES),
https://crcore.org.au/ies (Accessible on 03/07/2020).
Retrieved July from.
Diaz, R., Mamani, H., Valery, W., Jankovic, A., Valle, R., &
Duffy, K. (2015). Diagnosis of process health, its treat-
ment and improvement to maximise plant throughput
at goldfields Cerro Corona. SAG 2015 conference pro-
ceedings. Vancouver,.
Faramarzi, F. (2020). The measurement of variability in ore
competence and its impact on process performance
The University of Queensland].
Faramarzi, F., Jokovic, V., Morrison, R., &Kanchibotla,
S. S. (2018). Quantifying variability of ore breakage
by impact–Implications for SAG mill performance.
Minerals Engineering, 127, 81–89.
Faramarzi, F., Kanchibotla, S. S., &Morrison, R. (2019).
Simulating the impact of ore competence variability
on process performance—Case study of a large copper
mine SAG Conference, Vancouver, Canada.
Faramarzi, F., Napier-Munn, T., Morrison, R., &
Kanchibotla, S. S. (2020). The extended drop
weight testing approach—What it reveals. Minerals
Engineering, 157, 106550. doi: 10.1016/j.mineng.2020
.106550.
Faramarzi, F., &Smith, R. (2023). How does dynamic
behaviour of comminution circuits impact strategic
planning of mines? GEOMIN Mine Planning 2023,
8th International Conference on Geology &Mine
Planning, Santiago, Chile.
Grundstrom, C., Kanchibotla, S., Jankovich, A., Thornton,
D., &Pacific, D. D. N. A. (2001). Blast fragmenta-
tion for maximising the sag mill throughput at Porgera
Gold Mine. Proceedings of the annual conference on
explosives and blasting technique,.
Hart, S., Valery, W., Clements, B., Reed, M., Song, M.,
&Dunne, R. (2001). Optimisation of the Cadia Hill
SAG mill circuit. SAG Conference,.
Jacobson, D. J., &Fabbri, D. (2019). Comparative study
of mechanical properties of pebbles within an autoge-
nous grinding (AG) /semi-autogenous grinding (SAG)
circuit SAG Conference, Vancouver, Canada.
Jankovic, A., Valery, W., &Davis, E. (2004). Cement
grinding optimisation. Minerals Engineering, 17(11–
12), 1075–1081.
JKTech. (2018). JK Drop Weight Test. JKTech Laboratory
Services, Australia.
Kanchibotla, S., Musunuri, A., &Kojovic, T. (2015).
Stochastic modelling to assess the impact of ore variabil-
ity on grinding circuit performance SAG Conference,
Vancouver, Canada.
Kanchibotla, S. S., Valery, W., &Morrell, S. (1999).
Modelling fines in blast fragmentation and its impact
on crushing and grinding. Explo ’99–A conference on
rock breaking, The Australasian Institute of Mining
and Metallurgy, Kalgoorlie, Australia,.
Minitab, I. (2014). MINITAB release 17: statistical soft-
ware for windows. Minitab Inc, USA.
Morrell, S., &Morrison, R. (1989). Ore charge, ball load
and material flow effects on an energy based SAG mill
model. Proceedings Advances in Autogenous and SAG
Technology, 697–712.
flowsheet and investigate how such a variability may shift
the limitation between SAG and ball milling circuits. This
issue can pose a potential risk of underutilization of equip-
ment/ available power, increased grinding consumables
and likely throughput restrictions over the life of mine. In
conclude, it is expected that the multi-component breakage
modelling and description based on the ExDWT ore char-
acterisation approach offering new avenues to the opera-
tions to better tune their design and optimisation strategies
for optimal strategic and tactical outcomes.
ACKNOWLEDGMENTS
The authors would like to acknowledge The University
of Queensland and JKTech Pty Ltd. for sponsoring this
research between 2015–2019, and we also gratefully
acknowledge Barrick Cortez gold mine for supplying the
samples. We acknowledge CRC ORE for providing a
research platform for conduct of simulations in 2020. The
authors acknowledge Dassault Systèmes for sponsoring the
presentation of this work at the XXXI IMPC-International
Mineral Processing Congress. Last but not least, we sin-
cerely thank the conference organizers and reviewers for
their hard work in bringing the community together and
providing a platform for exchanging knowledge.
REFERENCES
Bailey, C., Lane, G., Morrell, S., &Staples, P. (2009).
What can go wrong in comminution circuit design.
Proceedings of the 10th Mill Operatirs’ Conference,
Adelaide, SA,.
Burger, B., McCaffery, K., Jankovic, A., Valery, W., &
McGaffin, I. (2006). Batu Hijau model for throughput
forecast, mining and milling optimisation and expan-
sion studies. Advances in comminution, 461–479.
Carrasco, C., Keeney, L., Napier-Munn, T. J., &Bode,
P. (2017). Unlocking additional value by optimising
comminution strategies to process Grade Engineering ®
streams. Minerals Engineering, 103–104, 2–10. doi:
10.1016/j.mineng.2016.07.020.
CRCORE. (2020). Integrated Extraction Simulator (IES),
https://crcore.org.au/ies (Accessible on 03/07/2020).
Retrieved July from.
Diaz, R., Mamani, H., Valery, W., Jankovic, A., Valle, R., &
Duffy, K. (2015). Diagnosis of process health, its treat-
ment and improvement to maximise plant throughput
at goldfields Cerro Corona. SAG 2015 conference pro-
ceedings. Vancouver,.
Faramarzi, F. (2020). The measurement of variability in ore
competence and its impact on process performance
The University of Queensland].
Faramarzi, F., Jokovic, V., Morrison, R., &Kanchibotla,
S. S. (2018). Quantifying variability of ore breakage
by impact–Implications for SAG mill performance.
Minerals Engineering, 127, 81–89.
Faramarzi, F., Kanchibotla, S. S., &Morrison, R. (2019).
Simulating the impact of ore competence variability
on process performance—Case study of a large copper
mine SAG Conference, Vancouver, Canada.
Faramarzi, F., Napier-Munn, T., Morrison, R., &
Kanchibotla, S. S. (2020). The extended drop
weight testing approach—What it reveals. Minerals
Engineering, 157, 106550. doi: 10.1016/j.mineng.2020
.106550.
Faramarzi, F., &Smith, R. (2023). How does dynamic
behaviour of comminution circuits impact strategic
planning of mines? GEOMIN Mine Planning 2023,
8th International Conference on Geology &Mine
Planning, Santiago, Chile.
Grundstrom, C., Kanchibotla, S., Jankovich, A., Thornton,
D., &Pacific, D. D. N. A. (2001). Blast fragmenta-
tion for maximising the sag mill throughput at Porgera
Gold Mine. Proceedings of the annual conference on
explosives and blasting technique,.
Hart, S., Valery, W., Clements, B., Reed, M., Song, M.,
&Dunne, R. (2001). Optimisation of the Cadia Hill
SAG mill circuit. SAG Conference,.
Jacobson, D. J., &Fabbri, D. (2019). Comparative study
of mechanical properties of pebbles within an autoge-
nous grinding (AG) /semi-autogenous grinding (SAG)
circuit SAG Conference, Vancouver, Canada.
Jankovic, A., Valery, W., &Davis, E. (2004). Cement
grinding optimisation. Minerals Engineering, 17(11–
12), 1075–1081.
JKTech. (2018). JK Drop Weight Test. JKTech Laboratory
Services, Australia.
Kanchibotla, S., Musunuri, A., &Kojovic, T. (2015).
Stochastic modelling to assess the impact of ore variabil-
ity on grinding circuit performance SAG Conference,
Vancouver, Canada.
Kanchibotla, S. S., Valery, W., &Morrell, S. (1999).
Modelling fines in blast fragmentation and its impact
on crushing and grinding. Explo ’99–A conference on
rock breaking, The Australasian Institute of Mining
and Metallurgy, Kalgoorlie, Australia,.
Minitab, I. (2014). MINITAB release 17: statistical soft-
ware for windows. Minitab Inc, USA.
Morrell, S., &Morrison, R. (1989). Ore charge, ball load
and material flow effects on an energy based SAG mill
model. Proceedings Advances in Autogenous and SAG
Technology, 697–712.