NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertainty

Detalhes bibliográficos
Autor(a) principal: Kuckartz,Bruno Tomasi
Data de Publicação: 2019
Outros Autores: Peroni,Rodrigo Lemos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: REM - International Engineering Journal
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000300293
Resumo: Abstract 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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spelling NPV analysis of multiple surface constraints for pit expansion scenarios under geological uncertaintymine planningsurface constraintsgeological uncertaintyNPVpit optimizationAbstract 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.Fundação Gorceix2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000300293REM - International Engineering Journal v.72 n.2 2019reponame:REM - International Engineering Journalinstname:Fundação Gorceix (FG)instacron:FG10.1590/0370-44672017720113info:eu-repo/semantics/openAccessKuckartz,Bruno TomasiPeroni,Rodrigo Lemoseng2019-03-19T00:00:00Zoai:scielo:S2448-167X2019000300293Revistahttps://www.rem.com.br/?lang=pt-brPRIhttps://old.scielo.br/oai/scielo-oai.php||editor@rem.com.br2448-167X2448-167Xopendoar:2019-03-19T00:00REM - International Engineering Journal - Fundação Gorceix (FG)false
dc.title.none.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
mine planning
surface constraints
geological uncertainty
NPV
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 Lemos
author_role author
author2 Peroni,Rodrigo Lemos
author2_role author
dc.contributor.author.fl_str_mv Kuckartz,Bruno Tomasi
Peroni,Rodrigo Lemos
dc.subject.por.fl_str_mv mine planning
surface constraints
geological uncertainty
NPV
pit optimization
topic mine planning
surface constraints
geological uncertainty
NPV
pit optimization
description Abstract 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.none.fl_str_mv 2019-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000300293
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000300293
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0370-44672017720113
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Fundação Gorceix
publisher.none.fl_str_mv Fundação Gorceix
dc.source.none.fl_str_mv REM - International Engineering Journal v.72 n.2 2019
reponame:REM - International Engineering Journal
instname:Fundação Gorceix (FG)
instacron:FG
instname_str Fundação Gorceix (FG)
instacron_str FG
institution FG
reponame_str REM - International Engineering Journal
collection REM - International Engineering Journal
repository.name.fl_str_mv REM - International Engineering Journal - Fundação Gorceix (FG)
repository.mail.fl_str_mv ||editor@rem.com.br
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