Incorporation of geological uncertainty in pit optimization with geostatistics simulation.
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFOP |
Texto Completo: | http://www.repositorio.ufop.br/handle/123456789/10257 |
Resumo: | Risk mapping processes in mine planning and ore recovery are constantly used in the mining industry to increase decision making certainty based on the available information. However, it is not possible to predict the risk behavior in all of the project's boundary conditions and small variations in some of these conditions can cause a great impact on its financial return. Among the countless uncertainties existing in a mining project (operational, costs, market change), many authors define the geological uncertainty as the most critical one, capable of influencing the success of the project. Measurement and evaluation of the geological uncertainty of a mine planning project is crucial because the calculated risk can be translated into a financial risk of the project. This article presents a possible way to consider the geological uncertainty in the pit optimization step by using sequential Gaussian simulation. The results obtained from the case study on a copper deposit results in a simple procedure with significant increase in reliability for the project. |
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Souza, Rafael Alvarenga deCabral, Ivo Eyer2018-09-26T16:40:40Z2018-09-26T16:40:40Z2017SOUZA, R. A. V. de; CABRAL, I. E. Incorporation of geological uncertainty in pit optimization with geostatistics simulation. REM - International Engineering Journal, Ouro Preto, v. 70, n. 3, p. 325-329, jul./set. 2017. Disponível em: <http://www.scielo.br/scielo.php?pid=S2448-167X2017000300325&script=sci_arttext>. Acesso em: 26 set. 2018.18070353http://www.repositorio.ufop.br/handle/123456789/10257Risk mapping processes in mine planning and ore recovery are constantly used in the mining industry to increase decision making certainty based on the available information. However, it is not possible to predict the risk behavior in all of the project's boundary conditions and small variations in some of these conditions can cause a great impact on its financial return. Among the countless uncertainties existing in a mining project (operational, costs, market change), many authors define the geological uncertainty as the most critical one, capable of influencing the success of the project. Measurement and evaluation of the geological uncertainty of a mine planning project is crucial because the calculated risk can be translated into a financial risk of the project. This article presents a possible way to consider the geological uncertainty in the pit optimization step by using sequential Gaussian simulation. The results obtained from the case study on a copper deposit results in a simple procedure with significant increase in reliability for the project.A REM - International Engineering Journal - autoriza o depósito de cópia de artigos dos professores e alunos da UFOP no Repositório Institucional da UFOP. Licença concedida mediante preenchimento de formulário online em: 12 set. 2013.info:eu-repo/semantics/openAccessRisksSequential Gaussian simulationMine planningIncorporation of geological uncertainty in pit optimization with geostatistics simulation.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOPLICENSElicense.txtlicense.txttext/plain; charset=utf-8924http://www.repositorio.ufop.br/bitstream/123456789/10257/2/license.txt62604f8d955274beb56c80ce1ee5dcaeMD52ORIGINALARTIGO_IncorporationGeologicalUncertainty.pdfARTIGO_IncorporationGeologicalUncertainty.pdfapplication/pdf1432552http://www.repositorio.ufop.br/bitstream/123456789/10257/1/ARTIGO_IncorporationGeologicalUncertainty.pdfc553fca303d2d9bbd654bb4c69b604ccMD51123456789/102572018-09-26 12:40:40.825oai:localhost: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ório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332018-09-26T16:40:40Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false |
dc.title.pt_BR.fl_str_mv |
Incorporation of geological uncertainty in pit optimization with geostatistics simulation. |
title |
Incorporation of geological uncertainty in pit optimization with geostatistics simulation. |
spellingShingle |
Incorporation of geological uncertainty in pit optimization with geostatistics simulation. Souza, Rafael Alvarenga de Risks Sequential Gaussian simulation Mine planning |
title_short |
Incorporation of geological uncertainty in pit optimization with geostatistics simulation. |
title_full |
Incorporation of geological uncertainty in pit optimization with geostatistics simulation. |
title_fullStr |
Incorporation of geological uncertainty in pit optimization with geostatistics simulation. |
title_full_unstemmed |
Incorporation of geological uncertainty in pit optimization with geostatistics simulation. |
title_sort |
Incorporation of geological uncertainty in pit optimization with geostatistics simulation. |
author |
Souza, Rafael Alvarenga de |
author_facet |
Souza, Rafael Alvarenga de Cabral, Ivo Eyer |
author_role |
author |
author2 |
Cabral, Ivo Eyer |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Souza, Rafael Alvarenga de Cabral, Ivo Eyer |
dc.subject.por.fl_str_mv |
Risks Sequential Gaussian simulation Mine planning |
topic |
Risks Sequential Gaussian simulation Mine planning |
description |
Risk mapping processes in mine planning and ore recovery are constantly used in the mining industry to increase decision making certainty based on the available information. However, it is not possible to predict the risk behavior in all of the project's boundary conditions and small variations in some of these conditions can cause a great impact on its financial return. Among the countless uncertainties existing in a mining project (operational, costs, market change), many authors define the geological uncertainty as the most critical one, capable of influencing the success of the project. Measurement and evaluation of the geological uncertainty of a mine planning project is crucial because the calculated risk can be translated into a financial risk of the project. This article presents a possible way to consider the geological uncertainty in the pit optimization step by using sequential Gaussian simulation. The results obtained from the case study on a copper deposit results in a simple procedure with significant increase in reliability for the project. |
publishDate |
2017 |
dc.date.issued.fl_str_mv |
2017 |
dc.date.accessioned.fl_str_mv |
2018-09-26T16:40:40Z |
dc.date.available.fl_str_mv |
2018-09-26T16:40:40Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SOUZA, R. A. V. de; CABRAL, I. E. Incorporation of geological uncertainty in pit optimization with geostatistics simulation. REM - International Engineering Journal, Ouro Preto, v. 70, n. 3, p. 325-329, jul./set. 2017. Disponível em: <http://www.scielo.br/scielo.php?pid=S2448-167X2017000300325&script=sci_arttext>. Acesso em: 26 set. 2018. |
dc.identifier.uri.fl_str_mv |
http://www.repositorio.ufop.br/handle/123456789/10257 |
dc.identifier.issn.none.fl_str_mv |
18070353 |
identifier_str_mv |
SOUZA, R. A. V. de; CABRAL, I. E. Incorporation of geological uncertainty in pit optimization with geostatistics simulation. REM - International Engineering Journal, Ouro Preto, v. 70, n. 3, p. 325-329, jul./set. 2017. Disponível em: <http://www.scielo.br/scielo.php?pid=S2448-167X2017000300325&script=sci_arttext>. Acesso em: 26 set. 2018. 18070353 |
url |
http://www.repositorio.ufop.br/handle/123456789/10257 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
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