XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3 1571
Campos, P.H., Costa, J.F., Koppe, V., and Bassani, M.A.
2022. Geometallurgy-oriented mine scheduling con-
sidering volume support and non-additivity. Mining
Technology 131(1):1–11.
Coward, S., and Dowd, P. 2015. Geometallurgical models
for the quantification of uncertainty in mining project
value chains. In Application of Computers and Operations
Research in the Mineral Industry—Proceedings of the
35th International Symposium. Fairbanks: Society for
Mining, Metallurgy &Exploration.
Deutsch, J., Palmer, K., Deutsch, C., Szymanski, J., and
Etsell, T. 2016. Spatial Modeling of Geometallurgical
Properties: Techniques and a Case Study. Natural
Resources Research 25(2):161–181.
Dominy, S.C., O’Connor, L., Parbhakar-Fox, A., Glass, H.J.,
and Purevgerel, S. 2018. Geometallurgy—A Route to
More Resilient Mine Operations. Minerals 8(12):560.
Donda, J., and Rosa, A. 2014. A lei da moagem: comprova-
ção para minério de ferro. Ouro Preto: L&E Graphar.
Donda, J. 2003. Um método para prever o consumo específico
de energia na (re)moagem de concentrados de minérios de
ferro em moinhos de bolas. Doctoral Thesis in Mineral
Processing. Belo Horizonte: Universidade Federal de
Minas Gerais.
Kittler, P., Liebezeit, V., Ehrig, K., Macmillan, E., and
Lower, C., 2011. “It Seemed like a Good Idea at the
Time …” Common Mistakes in Geometallurgy.
In Proceedings of the First AusIMM International
Geometallurgy Conference. Brisbane: AusIMM.
Lishchuk, V., 2016. Geometallurgical Programs—Critical
Evaluation of Applied Methods and.
Techniques. Licentiate Thesis. Luleå: Luleå University of
Technology.
Lishchuk, V., and Pettersson, M. 2021. The mechanisms
of decision-making when applying geometallurgical
approach to the mining industry. Mineral Economics
34:71–80.
Lund, C., and Lamberg, P. 2014. Geometallurgy: A tool for
better resource efficiency. European Geologist Magazine,
(37):39–43.
McKay, N., Vann, J., Ware, W., Morley, W., and
Hodkiewicz, P. 2016. Strategic and tactical geomet-
allurgy—a systematic process to add and sustain
resource value. In The Third AUSIMM International
Geometallurgy Conference. Perth: AusIMM.
Michaux, S., and O’Connor, L. 2020. How to Set Up and
Develop a Geometallurgical Program. GTK Open File
Work Report. Espoo: Geological Survey of Finland.
Parian, M. 2017. Development of a geometallurgical frame-
work for iron ores—A mineralogical approach to particle-
based modeling. Doctoral Thesis in Mineral Processing.
Luleå: Luleå University of Technology.
Rendu, J.-M. 2017. Risk Management in Evaluating Mineral
Deposits. Englewood: Society of Mining, Metallurgy
and Exploration. p. 310.
Van den Boogaart, K., Tolosana-Delgado, R. 2018.
Predictive geometallurgy: an interdisciplinary key chal-
lenge for mathematical geosciences. In: Handbook of
Mathematical Geosciences. Berlin: Springer.
Vann, J., Jackson, S., Bye, A., Coward, S., Moayer, S.,
Nicholas, G., and Wolff, R. 2012. Scenario thinking—
A powerful tool for strategic planning and evaluation
of mining projects and operations. In Proceedings of the
Project Evaluation Conference. Melbourne: Australasian
Institute of Mining and Metallurgy.
Campos, P.H., Costa, J.F., Koppe, V., and Bassani, M.A.
2022. Geometallurgy-oriented mine scheduling con-
sidering volume support and non-additivity. Mining
Technology 131(1):1–11.
Coward, S., and Dowd, P. 2015. Geometallurgical models
for the quantification of uncertainty in mining project
value chains. In Application of Computers and Operations
Research in the Mineral Industry—Proceedings of the
35th International Symposium. Fairbanks: Society for
Mining, Metallurgy &Exploration.
Deutsch, J., Palmer, K., Deutsch, C., Szymanski, J., and
Etsell, T. 2016. Spatial Modeling of Geometallurgical
Properties: Techniques and a Case Study. Natural
Resources Research 25(2):161–181.
Dominy, S.C., O’Connor, L., Parbhakar-Fox, A., Glass, H.J.,
and Purevgerel, S. 2018. Geometallurgy—A Route to
More Resilient Mine Operations. Minerals 8(12):560.
Donda, J., and Rosa, A. 2014. A lei da moagem: comprova-
ção para minério de ferro. Ouro Preto: L&E Graphar.
Donda, J. 2003. Um método para prever o consumo específico
de energia na (re)moagem de concentrados de minérios de
ferro em moinhos de bolas. Doctoral Thesis in Mineral
Processing. Belo Horizonte: Universidade Federal de
Minas Gerais.
Kittler, P., Liebezeit, V., Ehrig, K., Macmillan, E., and
Lower, C., 2011. “It Seemed like a Good Idea at the
Time …” Common Mistakes in Geometallurgy.
In Proceedings of the First AusIMM International
Geometallurgy Conference. Brisbane: AusIMM.
Lishchuk, V., 2016. Geometallurgical Programs—Critical
Evaluation of Applied Methods and.
Techniques. Licentiate Thesis. Luleå: Luleå University of
Technology.
Lishchuk, V., and Pettersson, M. 2021. The mechanisms
of decision-making when applying geometallurgical
approach to the mining industry. Mineral Economics
34:71–80.
Lund, C., and Lamberg, P. 2014. Geometallurgy: A tool for
better resource efficiency. European Geologist Magazine,
(37):39–43.
McKay, N., Vann, J., Ware, W., Morley, W., and
Hodkiewicz, P. 2016. Strategic and tactical geomet-
allurgy—a systematic process to add and sustain
resource value. In The Third AUSIMM International
Geometallurgy Conference. Perth: AusIMM.
Michaux, S., and O’Connor, L. 2020. How to Set Up and
Develop a Geometallurgical Program. GTK Open File
Work Report. Espoo: Geological Survey of Finland.
Parian, M. 2017. Development of a geometallurgical frame-
work for iron ores—A mineralogical approach to particle-
based modeling. Doctoral Thesis in Mineral Processing.
Luleå: Luleå University of Technology.
Rendu, J.-M. 2017. Risk Management in Evaluating Mineral
Deposits. Englewood: Society of Mining, Metallurgy
and Exploration. p. 310.
Van den Boogaart, K., Tolosana-Delgado, R. 2018.
Predictive geometallurgy: an interdisciplinary key chal-
lenge for mathematical geosciences. In: Handbook of
Mathematical Geosciences. Berlin: Springer.
Vann, J., Jackson, S., Bye, A., Coward, S., Moayer, S.,
Nicholas, G., and Wolff, R. 2012. Scenario thinking—
A powerful tool for strategic planning and evaluation
of mining projects and operations. In Proceedings of the
Project Evaluation Conference. Melbourne: Australasian
Institute of Mining and Metallurgy.