Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Simulation-based risk quantification: a reconciliation-based performance analysis

Full text
Author(s):
Freitas, Sandro ; de Tomi, Giorgio ; Marin, Tatiane ; Rocha, Marcelo M.
Total Authors: 4
Document type: Journal article
Source: TRANSACTIONS OF THE INSTITUTIONS OF MINING AND METALLURGY SECTION A-MINING TECHNOLOGY; v. 126, n. 2, p. 96-103, 2017.
Web of Science Citations: 0
Abstract

Recent studies have demonstrated the utilisation of stochastic simulation to quantify uncertainty in mineral deposits and allowing better management of the geological risk during mining scheduling. This paper describes an approach to evaluate the suitability of stochastically simulated models to characterise the real, but unknown, deposit represented in this study by an orebody model geostatistical estimate based on an extensive grade control drilling dataset. Traditional reconciliation techniques and the related mine call factors (or indicators) are evaluated against uncertainty measures derived from the set of stochastically simulated models. A case study carried out at the main mineral deposit of the Sossego copper mine in Brazil is presented in order to illustrate the practical aspects of the approach and how this approach is validated by traditional reconciliation studies using historical data of a mined out part of the orebody. (AU)