NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertainty
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/204382 |
Resumo: | To optimize a mining project, it is necessary to deal with several technical aspects and constraints, such as orebody modelling, reserve estimation, blending strategy, optimal and operational pit designs, cost control, environmental issues, among others. In this sense, locating surface infrastructures is one of the most critical mine planning concerns, as approximating these facilities to the pit in order to reduce the operational costs, might interfere with future pit expansions in new favorable scenarios. In such cases, impacts on the project's net present value (NPV) are inevitable and must be technically dealt with, evaluating alternative scenarios to propose a strategy that increases profitability. The aim of this study is to evaluate, through NPV comparisons, different constrained scenarios, under geological uncertainty, determining the possibility of moving the constraints from their current position and/or defining priorities measuring the impact that each of them represents on the project's profitability. The methodology is applied to a phosphate mine, to determine the best alternative from a long-term mine planning perspective. The use of the hybrid pit approach, applied to a simulated grade model, allowed to identify the occurrence of probability zones within a mathematical pit, providing further information to support decision making regarding infrastructure relocation. |
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Kuckartz, Bruno TomasiPeroni, Rodrigo de Lemos2020-01-16T04:10:29Z20192448-167Xhttp://hdl.handle.net/10183/204382001106676To optimize a mining project, it is necessary to deal with several technical aspects and constraints, such as orebody modelling, reserve estimation, blending strategy, optimal and operational pit designs, cost control, environmental issues, among others. In this sense, locating surface infrastructures is one of the most critical mine planning concerns, as approximating these facilities to the pit in order to reduce the operational costs, might interfere with future pit expansions in new favorable scenarios. In such cases, impacts on the project's net present value (NPV) are inevitable and must be technically dealt with, evaluating alternative scenarios to propose a strategy that increases profitability. The aim of this study is to evaluate, through NPV comparisons, different constrained scenarios, under geological uncertainty, determining the possibility of moving the constraints from their current position and/or defining priorities measuring the impact that each of them represents on the project's profitability. The methodology is applied to a phosphate mine, to determine the best alternative from a long-term mine planning perspective. The use of the hybrid pit approach, applied to a simulated grade model, allowed to identify the occurrence of probability zones within a mathematical pit, providing further information to support decision making regarding infrastructure relocation.application/pdfengREM : international engineering journal. Ouro Preto, MG. Vol. 72, no. 2 (Apr./June 2019), p. 293-300MineraçãoOtimizaçãoValor presente líquidoGeologiaMine planningSurface constraintsGeological uncertaintyPit optimizationNPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertaintyinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001106676.pdf.txt001106676.pdf.txtExtracted Texttext/plain26172http://www.lume.ufrgs.br/bitstream/10183/204382/2/001106676.pdf.txte9561a982fd0effdde7e71e1b2dab303MD52ORIGINAL001106676.pdfTexto completo (inglês)application/pdf1787387http://www.lume.ufrgs.br/bitstream/10183/204382/1/001106676.pdf985b13792ff8a18b5983dbe1b31c4062MD5110183/2043822021-03-09 04:52:06.714709oai:www.lume.ufrgs.br:10183/204382Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-03-09T07:52:06Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertainty |
title |
NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertainty |
spellingShingle |
NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertainty Kuckartz, Bruno Tomasi Mineração Otimização Valor presente líquido Geologia Mine planning Surface constraints Geological uncertainty Pit optimization |
title_short |
NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertainty |
title_full |
NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertainty |
title_fullStr |
NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertainty |
title_full_unstemmed |
NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertainty |
title_sort |
NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertainty |
author |
Kuckartz, Bruno Tomasi |
author_facet |
Kuckartz, Bruno Tomasi Peroni, Rodrigo de Lemos |
author_role |
author |
author2 |
Peroni, Rodrigo de Lemos |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Kuckartz, Bruno Tomasi Peroni, Rodrigo de Lemos |
dc.subject.por.fl_str_mv |
Mineração Otimização Valor presente líquido Geologia |
topic |
Mineração Otimização Valor presente líquido Geologia Mine planning Surface constraints Geological uncertainty Pit optimization |
dc.subject.eng.fl_str_mv |
Mine planning Surface constraints Geological uncertainty Pit optimization |
description |
To optimize a mining project, it is necessary to deal with several technical aspects and constraints, such as orebody modelling, reserve estimation, blending strategy, optimal and operational pit designs, cost control, environmental issues, among others. In this sense, locating surface infrastructures is one of the most critical mine planning concerns, as approximating these facilities to the pit in order to reduce the operational costs, might interfere with future pit expansions in new favorable scenarios. In such cases, impacts on the project's net present value (NPV) are inevitable and must be technically dealt with, evaluating alternative scenarios to propose a strategy that increases profitability. The aim of this study is to evaluate, through NPV comparisons, different constrained scenarios, under geological uncertainty, determining the possibility of moving the constraints from their current position and/or defining priorities measuring the impact that each of them represents on the project's profitability. The methodology is applied to a phosphate mine, to determine the best alternative from a long-term mine planning perspective. The use of the hybrid pit approach, applied to a simulated grade model, allowed to identify the occurrence of probability zones within a mathematical pit, providing further information to support decision making regarding infrastructure relocation. |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019 |
dc.date.accessioned.fl_str_mv |
2020-01-16T04:10:29Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/204382 |
dc.identifier.issn.pt_BR.fl_str_mv |
2448-167X |
dc.identifier.nrb.pt_BR.fl_str_mv |
001106676 |
identifier_str_mv |
2448-167X 001106676 |
url |
http://hdl.handle.net/10183/204382 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
REM : international engineering journal. Ouro Preto, MG. Vol. 72, no. 2 (Apr./June 2019), p. 293-300 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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Repositório Institucional da UFRGS |
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Repositório Institucional da UFRGS |
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