Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/11264
Title: Classical and stochastic mine planning techniques, state of the art and trends.
Authors: Torres, Vidal Félix Navarro
Nader, Beck
Arroyo Ortiz, Carlos Enrique
Souza, Felipe Ribeiro
Burgarelli, Hudson Rodrigues
Chaves, Leonardo Soares
Carvalho, Luiz Alberto
Câmara, Taís Renata
Fernandes, Eunírio Zanetti
Galery, Roberto
Keywords: Deterministic mine planning
Direct block schedule
Uncertainty
Issue Date: 2018
Citation: TORRES, V. F. N. et al. Classical and stochastic mine planning techniques, state of the art and trends. REM - International Engineering Journal, v. 71, p. 289-297, 2018. Disponível em: <http://www.scielo.br/scielo.php?script=sci_abstract&pid=S2448-167X2018000200289&lng=en&nrm=iso>. Acesso em: 12 fev. 2019.
Abstract: Determination of the best possible ultimate pit for an open pit mine is a fundamental subject that has undergone a highly evolutionary process, reviewed in this study, since the correct choice carries substantial economic impact for the industry. The correct choice can be very beneficial for project analysis, whereas an incorrect choice has the potential to mask huge financial and economic future losses that could render a project unfeasible. The advent of computers in the 1960s allowed sophisticated analysis for the selection of the best ultimate pit determination, under specific modifying factors such as economic, social, environmental, and political, but only in deterministic situations, i.e., when the problem and variables for the ultimate pit determinations were considered deterministically and almost always based on average values. Techniques such as the Lerchs– Grossman algorithm and mixed-integer programming are among many standard tools now used by the mineral industry. Geological uncertainty and the associated risks as well as the need to consider the appropriate time to mine a block during a mine operation have a significant impact on the net present value of the resulting ultimate pits. Stochastic aspects embed a probabilistic component that varies in time and are now under intense investigation by researchers, who are creating algorithms that can be experimented with and tested in real mine situations. One can expect that once these algorithms demonstrate their efficiency and superior results, they will readily dominate the industry.
URI: http://www.repositorio.ufop.br/handle/123456789/11264
metadata.dc.identifier.doi: http://dx.doi.org/10.1590/0370-44672016710165
ISSN: 1807-0353
metadata.dc.rights.license: 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.
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