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 de Lemos
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.
id UFRGS-2_3e67e8e91bbce938cd6d52e2145eb800
oai_identifier_str oai:www.lume.ufrgs.br:10183/204382
network_acronym_str UFRGS-2
network_name_str Repositório Institucional da UFRGS
repository_id_str
spelling 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
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFRGS
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
bitstream.url.fl_str_mv http://www.lume.ufrgs.br/bitstream/10183/204382/2/001106676.pdf.txt
http://www.lume.ufrgs.br/bitstream/10183/204382/1/001106676.pdf
bitstream.checksum.fl_str_mv e9561a982fd0effdde7e71e1b2dab303
985b13792ff8a18b5983dbe1b31c4062
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv
_version_ 1815447703466803200