Grade uncertainty embedded in long term scheduling: stochastic mine planning

Detalhes bibliográficos
Autor(a) principal: Cherchenevski,Pablo Koury
Data de Publicação: 2019
Outros Autores: Costa,João Felipe Coimbra Leite, Rubio,Ricardo Hundelshaussen
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=S2448-167X2019000300275
Resumo: Abstract The inclusion of grade uncertainty for multivariate mineral deposits is of great importance for the correct management of subsequent decisions involved in mining planning. Mapping grade uncertainties allows maximization of profit and resource extraction. In this article, the co-simulation turning band algorithm is applied with the aim of predicting multivariate grade uncertainties. Moreover, a probabilistic analysis in long term mining sequencing is proposed in order to select the best given grade scheduling uncertainty derived from the simulations. A case study in a phosphate mine shows that the correlation of co-simulated variables honors the original data and there is an improvement in the project by an increase in Net Present Value (NPV) planning considering grade uncertainties. A comparison is performed with the results derived from the selected schedule and the results using the model based on kriged grades.
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spelling Grade uncertainty embedded in long term scheduling: stochastic mine planninggrade uncertaintyturning bands co-simulationmine schedulingAbstract The inclusion of grade uncertainty for multivariate mineral deposits is of great importance for the correct management of subsequent decisions involved in mining planning. Mapping grade uncertainties allows maximization of profit and resource extraction. In this article, the co-simulation turning band algorithm is applied with the aim of predicting multivariate grade uncertainties. Moreover, a probabilistic analysis in long term mining sequencing is proposed in order to select the best given grade scheduling uncertainty derived from the simulations. A case study in a phosphate mine shows that the correlation of co-simulated variables honors the original data and there is an improvement in the project by an increase in Net Present Value (NPV) planning considering grade uncertainties. A comparison is performed with the results derived from the selected schedule and the results using the model based on kriged grades.Fundação Gorceix2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000300275REM - International Engineering Journal v.72 n.2 2019reponame:REM - International Engineering Journalinstname:Fundação Gorceix (FG)instacron:FG10.1590/0370-44672018720119info:eu-repo/semantics/openAccessCherchenevski,Pablo KouryCosta,João Felipe Coimbra LeiteRubio,Ricardo Hundelshausseneng2019-03-19T00:00:00Zoai:scielo:S2448-167X2019000300275Revistahttps://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 Grade uncertainty embedded in long term scheduling: stochastic mine planning
title Grade uncertainty embedded in long term scheduling: stochastic mine planning
spellingShingle Grade uncertainty embedded in long term scheduling: stochastic mine planning
Cherchenevski,Pablo Koury
grade uncertainty
turning bands co-simulation
mine scheduling
title_short Grade uncertainty embedded in long term scheduling: stochastic mine planning
title_full Grade uncertainty embedded in long term scheduling: stochastic mine planning
title_fullStr Grade uncertainty embedded in long term scheduling: stochastic mine planning
title_full_unstemmed Grade uncertainty embedded in long term scheduling: stochastic mine planning
title_sort Grade uncertainty embedded in long term scheduling: stochastic mine planning
author Cherchenevski,Pablo Koury
author_facet Cherchenevski,Pablo Koury
Costa,João Felipe Coimbra Leite
Rubio,Ricardo Hundelshaussen
author_role author
author2 Costa,João Felipe Coimbra Leite
Rubio,Ricardo Hundelshaussen
author2_role author
author
dc.contributor.author.fl_str_mv Cherchenevski,Pablo Koury
Costa,João Felipe Coimbra Leite
Rubio,Ricardo Hundelshaussen
dc.subject.por.fl_str_mv grade uncertainty
turning bands co-simulation
mine scheduling
topic grade uncertainty
turning bands co-simulation
mine scheduling
description Abstract The inclusion of grade uncertainty for multivariate mineral deposits is of great importance for the correct management of subsequent decisions involved in mining planning. Mapping grade uncertainties allows maximization of profit and resource extraction. In this article, the co-simulation turning band algorithm is applied with the aim of predicting multivariate grade uncertainties. Moreover, a probabilistic analysis in long term mining sequencing is proposed in order to select the best given grade scheduling uncertainty derived from the simulations. A case study in a phosphate mine shows that the correlation of co-simulated variables honors the original data and there is an improvement in the project by an increase in Net Present Value (NPV) planning considering grade uncertainties. A comparison is performed with the results derived from the selected schedule and the results using the model based on kriged grades.
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=S2448-167X2019000300275
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2448-167X2019000300275
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0370-44672018720119
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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