Stochastic stope design optimisation under grade uncertainty and dynamic development costs

Stope design optimisation defines three-dimensional extraction volumes aiming to maximise cashflows, subject to geotechnical and operational constraints. Available stope layout methods are deterministic, failing to account for grade uncertainty and variability that affect stope locations and sizes,...

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Bibliographic Details
Published in:International journal of mining, reclamation and environment Vol. 36; no. 2; pp. 81 - 103
Main Authors: Furtado e Faria, Matheus, Dimitrakopoulos, Roussos, Pinto, Cláudio
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 07.02.2022
Taylor & Francis Ltd
Subjects:
Design
Design optimization
geological uncertainty
Integer programming
stochastic integer programming
Stope design optimisation
Sublevel stoping
Uncertainty
underground mine planning
Underground mines
ISSN:1748-0930, 1748-0949
Online Access:Get full text
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Summary:Stope design optimisation defines three-dimensional extraction volumes aiming to maximise cashflows, subject to geotechnical and operational constraints. Available stope layout methods are deterministic, failing to account for grade uncertainty and variability that affect stope locations and sizes, as well as value. A two-stage stochastic integer programming model for stope design optimisation is proposed, integrating grade uncertainty quantified through geostatistical simulations, level allocation, variable stope and pillar sizes for different geotechnical zones, and development costs. An application at an underground gold mine employing sublevel open stoping highlights the integration and management of grade uncertainty to define risk-resilient stope design.
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ISSN:1748-0930
1748-0949
DOI:10.1080/17480930.2021.1968707