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, Joao Felipe Coimbra Leite, Rubio, Ricardo Hundelshaussen
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/232745
Resumo: 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 Cherchenevski, Pablo KouryCosta, Joao Felipe Coimbra LeiteRubio, Ricardo Hundelshaussen2021-12-09T04:36:02Z20192448-167Xhttp://hdl.handle.net/10183/232745001133632The 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.application/pdfengREM : international engineering journal. Ouro Preto, MG. Vol. 72, no. 2 (Apr./Jun. 2019), p. 275-284Lavra : PlanejamentoGeoestatísticaGrade uncertaintyTurning bands co-simulationMine schedulingGrade uncertainty embedded in long term scheduling : stochastic mine planninginfo: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:UFRGSTEXT001133632.pdf.txt001133632.pdf.txtExtracted Texttext/plain37378http://www.lume.ufrgs.br/bitstream/10183/232745/2/001133632.pdf.txte5b1dd316c4428d8054188715eee6072MD52ORIGINAL001133632.pdfTexto completo (inglês)application/pdf2125923http://www.lume.ufrgs.br/bitstream/10183/232745/1/001133632.pdf845b89d32fb6c19978f668806b10d069MD5110183/2327452021-12-19 05:30:46.155439oai:www.lume.ufrgs.br:10183/232745Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-12-19T07:30:46Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.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
Lavra : Planejamento
Geoestatística
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, Joao Felipe Coimbra Leite
Rubio, Ricardo Hundelshaussen
author_role author
author2 Costa, Joao Felipe Coimbra Leite
Rubio, Ricardo Hundelshaussen
author2_role author
author
dc.contributor.author.fl_str_mv Cherchenevski, Pablo Koury
Costa, Joao Felipe Coimbra Leite
Rubio, Ricardo Hundelshaussen
dc.subject.por.fl_str_mv Lavra : Planejamento
Geoestatística
topic Lavra : Planejamento
Geoestatística
Grade uncertainty
Turning bands co-simulation
Mine scheduling
dc.subject.eng.fl_str_mv Grade uncertainty
Turning bands co-simulation
Mine scheduling
description 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.issued.fl_str_mv 2019
dc.date.accessioned.fl_str_mv 2021-12-09T04:36:02Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/232745
dc.identifier.issn.pt_BR.fl_str_mv 2448-167X
dc.identifier.nrb.pt_BR.fl_str_mv 001133632
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dc.language.iso.fl_str_mv eng
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dc.relation.ispartof.pt_BR.fl_str_mv REM : international engineering journal. Ouro Preto, MG. Vol. 72, no. 2 (Apr./Jun. 2019), p. 275-284
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eu_rights_str_mv openAccess
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institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
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