Strategic evaluation of concentrator operational modes under geological uncertainty
Mineral concentrators can be designed to support several modes of operation, which can be optimized for different geometallurgical units. Nonetheless, alternative modes often require additional equipment and processing capacity, hence an associated capital expenditure. Moreover, the concentrator des...
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| Published in | International journal of mineral processing Vol. 164; pp. 45 - 55 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
10.07.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0301-7516 1879-3525 |
| DOI | 10.1016/j.minpro.2017.05.009 |
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| Abstract | Mineral concentrators can be designed to support several modes of operation, which can be optimized for different geometallurgical units. Nonetheless, alternative modes often require additional equipment and processing capacity, hence an associated capital expenditure. Moreover, the concentrator designs are often based on preliminary geological data, and are therefore subject to uncertainty. The current paper describes how stochastic mine planning algorithms may be extended to quantify the net present value (NPV) of alternative operational modes in mineral processing plants, under geological uncertainty. In particular, the Variable Neighbourhood Descent method of Lamghari et al. (2014) was originally developed for open-pit mine planning, and has now been adapted to evaluate concentrator operational modes. Sample computations are presented.
•Stochastic strategic mine planning is extended to evaluate concentrator operational modes, under geological uncertainty•The resulting framework provides a statistical basis to compare alternate configurations of mineral processing plants•The framework may incorporate increasingly detailed geometallurgy for conceptual, pre-feasibility and feasibility studies•Computational results demonstrate how the framework is used to economically justify design changes within a concentrator |
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| AbstractList | Mineral concentrators can be designed to support several modes of operation, which can be optimized for different geometallurgical units. Nonetheless, alternative modes often require additional equipment and processing capacity, hence an associated capital expenditure. Moreover, the concentrator designs are often based on preliminary geological data, and are therefore subject to uncertainty. The current paper describes how stochastic mine planning algorithms may be extended to quantify the net present value (NPV) of alternative operational modes in mineral processing plants, under geological uncertainty. In particular, the Variable Neighbourhood Descent method of Lamghari et al. (2014) was originally developed for open-pit mine planning, and has now been adapted to evaluate concentrator operational modes. Sample computations are presented.
•Stochastic strategic mine planning is extended to evaluate concentrator operational modes, under geological uncertainty•The resulting framework provides a statistical basis to compare alternate configurations of mineral processing plants•The framework may incorporate increasingly detailed geometallurgy for conceptual, pre-feasibility and feasibility studies•Computational results demonstrate how the framework is used to economically justify design changes within a concentrator |
| Author | Waters, Kristian Menzies, Andrew Jordens, Adam Navarra, Alessandro |
| Author_xml | – sequence: 1 givenname: Alessandro surname: Navarra fullname: Navarra, Alessandro email: anavarra@ucn.cl organization: Department of Industrial Engineering, Universidad Católica del Norte, Antofagasta, Chile – sequence: 2 givenname: Andrew surname: Menzies fullname: Menzies, Andrew organization: Department of Geology, Universidad Católica del Norte, Antofagasta, Chile – sequence: 3 givenname: Adam surname: Jordens fullname: Jordens, Adam organization: Mining and Materials Engineering Department, McGill University, Montreal, Canada – sequence: 4 givenname: Kristian surname: Waters fullname: Waters, Kristian organization: Mining and Materials Engineering Department, McGill University, Montreal, Canada |
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| CitedBy_id | crossref_primary_10_3390_min13050642 crossref_primary_10_3390_app11115092 crossref_primary_10_1016_j_mineng_2017_12_002 crossref_primary_10_1016_j_mineng_2018_02_010 crossref_primary_10_1051_e3sconf_202132600021 crossref_primary_10_1016_j_mineng_2019_01_028 crossref_primary_10_1007_s42461_024_01052_9 crossref_primary_10_3390_pr11020381 |
| Cites_doi | 10.1016/j.asoc.2015.11.038 10.1145/3828.3835 10.1134/S1062739149040096 10.1179/1743275814Y.0000000044 10.1016/j.mineng.2009.03.017 10.1016/j.ejor.2012.05.029 10.1080/17480930.2016.1201380 10.1080/00084433.2016.1261501 10.1016/j.mineng.2015.09.008 10.1057/jors.2013.81 10.1080/00084433.2016.1237062 10.1134/S1062739147020018 10.1007/s10898-014-0185-z 10.1007/s11004-017-9680-3 10.1287/inte.1090.0492 10.1007/s11081-012-9186-2 10.1016/j.mineng.2009.11.005 10.1016/j.mineng.2011.02.017 10.1016/j.mineng.2014.04.006 10.1016/j.mineng.2015.04.004 10.1016/j.ejor.2015.08.051 10.1016/j.ejor.2015.05.002 |
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| Keywords | Geometallurgy Concentrator Modes of operation Strategic mine planning Stochastic optimization |
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| References | Minz, Lasskogen, Wanhainen, Lamberg (bb0075) 2014; 123 Goodfellow, Dimitrakopoulos (bb0035) 2017; 49 Lane (bb0060) 2015 Newman, Rubio, Caro, Weintraub, Eurek (bb0105) 2010; 40 Suazo, Kracht, Alruiz (bb0145) 2010; 23 Lamghari, Dimitrakopoulos, Ferland (bb0050) 2014; 65 Navarra, Waters (bb0090) 2016; 55 Ramazan, Dimitrakopoulos (bb0125) 2013; 14 Van der Wielen, Rollinson (bb0150) 2016; 89 Lamghari, Dimitrakopoulos (bb0040) 2012; 222 Goodfellow, Dimitrakopoulos (bb0030) 2016; 40 Lund, Lamberg, Lindberg (bb0070) 2015; 89 Bienstock, Zuckerburg (bb0015) 2010 Raychaudhuri (bb0135) 2008 Wills, Finch (bb0160) 2016 Albor, Dimitrakopoulos (bb0005) 2010; 119 Dimitrakopoulos (bb0025) 2011; 47 Lamghari, Dimitrakopoulos (bb0045) 2016; 250 Navarra, Montiel, Dimitrakopoulos (bb0095) 2016 Montiel, Dimitrakopoulos (bb0085) 2015; 247 Pochet, Wolsey (bb0115) 2006; Chapter 3 Montiel, Dimitrakopoulos (bb0080) 2013; 49 Lotter, Kormos, Oliveira, Fragomeni, Whiteman (bb0065) 2011; 24 Ravenscroft (bb0130) 1992; 101 Sleator, Tarjan (bb0140) 1985; 32 Wheeler, McGinty (bb0155) 2015 Lamghari, Dimitrakopoulos, Ferland (bb0055) 2015; 63 Carpentier, Gamache, Dimitrakopoulos (bb0020) 2016; 125 Philander, Rozendaal (bb0110) 2014; 65 Ramazan, Dimitrakopoulos (bb0120) 2005; 14 Alruiz, Morrell, Suazo, Naranjo (bb0010) 2009; 22 Navarra, Rafiei, Waters (bb0100) 2017; 56 Dimitrakopoulos (10.1016/j.minpro.2017.05.009_bb0025) 2011; 47 Ramazan (10.1016/j.minpro.2017.05.009_bb0125) 2013; 14 Wheeler (10.1016/j.minpro.2017.05.009_bb0155) 2015 Lane (10.1016/j.minpro.2017.05.009_bb0060) 2015 Lamghari (10.1016/j.minpro.2017.05.009_bb0045) 2016; 250 Navarra (10.1016/j.minpro.2017.05.009_bb0100) 2017; 56 Raychaudhuri (10.1016/j.minpro.2017.05.009_bb0135) 2008 Lotter (10.1016/j.minpro.2017.05.009_bb0065) 2011; 24 Alruiz (10.1016/j.minpro.2017.05.009_bb0010) 2009; 22 Ramazan (10.1016/j.minpro.2017.05.009_bb0120) 2005; 14 Lund (10.1016/j.minpro.2017.05.009_bb0070) 2015; 89 Lamghari (10.1016/j.minpro.2017.05.009_bb0055) 2015; 63 Navarra (10.1016/j.minpro.2017.05.009_bb0090) 2016; 55 Montiel (10.1016/j.minpro.2017.05.009_bb0085) 2015; 247 Newman (10.1016/j.minpro.2017.05.009_bb0105) 2010; 40 Sleator (10.1016/j.minpro.2017.05.009_bb0140) 1985; 32 Lamghari (10.1016/j.minpro.2017.05.009_bb0050) 2014; 65 Wills (10.1016/j.minpro.2017.05.009_bb0160) 2016 Goodfellow (10.1016/j.minpro.2017.05.009_bb0030) 2016; 40 Minz (10.1016/j.minpro.2017.05.009_bb0075) 2014; 123 Montiel (10.1016/j.minpro.2017.05.009_bb0080) 2013; 49 Van der Wielen (10.1016/j.minpro.2017.05.009_bb0150) 2016; 89 Lamghari (10.1016/j.minpro.2017.05.009_bb0040) 2012; 222 Bienstock (10.1016/j.minpro.2017.05.009_bb0015) 2010 Philander (10.1016/j.minpro.2017.05.009_bb0110) 2014; 65 Albor (10.1016/j.minpro.2017.05.009_bb0005) 2010; 119 Navarra (10.1016/j.minpro.2017.05.009_bb0095) 2016 Ravenscroft (10.1016/j.minpro.2017.05.009_bb0130) 1992; 101 Carpentier (10.1016/j.minpro.2017.05.009_bb0020) 2016; 125 Goodfellow (10.1016/j.minpro.2017.05.009_bb0035) 2017; 49 Suazo (10.1016/j.minpro.2017.05.009_bb0145) 2010; 23 Pochet (10.1016/j.minpro.2017.05.009_bb0115) 2006; Chapter 3 |
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| SubjectTerms | Concentrator Geometallurgy Modes of operation Stochastic optimization Strategic mine planning |
| Title | Strategic evaluation of concentrator operational modes under geological uncertainty |
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