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dc.contributor.authorSouza, Rafael Alvarenga de-
dc.contributor.authorCabral, Ivo Eyer-
dc.identifier.citationSOUZA, 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: <>. Acesso em: 26 set. 2018.pt_BR
dc.description.abstractRisk 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.pt_BR
dc.subjectSequential Gaussian simulationpt_BR
dc.subjectMine planningpt_BR
dc.titleIncorporation of geological uncertainty in pit optimization with geostatistics simulation.pt_BR
dc.typeArtigo publicado em periodicopt_BR
dc.rights.licenseA 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.pt_BR
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