Grade uncertainty embedded in long term scheduling: Stochastic mine planning

Pablo Koury Cherchenevski, João Felipe Coimbra Leite Costa, Ricardo Hundelshaussen Rubio

Producción científica: Contribución a una revistaArtículo en revista científica indexadarevisión exhaustiva

2 Citas (Scopus)


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.

Idioma originalInglés
Páginas (desde-hasta)275-284
Número de páginas10
PublicaciónRevista Escola de Minas
EstadoPublicada - 1 abr. 2019
Publicado de forma externa

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© 2019, Escola de Minas. All rights reserved.


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