The quantification of grade uncertainty, and associated risk, and their influence on pit optimisation for the Sadiola deep sulphide prefeasability project

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dc.contributor.author Robins, Steven Paul
dc.date.accessioned 2008-12-11T08:34:00Z
dc.date.available 2008-12-11T08:34:00Z
dc.date.issued 2008-12-11T08:34:00Z
dc.identifier.uri http://hdl.handle.net/10539/5890
dc.description.abstract In order to quantify the uncertainty in the grade estimate for the Sadiola Deep Sulphide Prefeasibility Project a conditional simulation model was generated using Direct Block Simulation methodology. Compared to conventional Sequential Gaussian Simulation, the Direct Block Simulation algorithm produced a reliable model in significantly less time, lending its application to a production environment. Through application of a mining transfer function, risk pits were generated for comparison with the Deep Sulphide Prefeasibility pit. The results of this study revealed that the prefeasibility pit is optimal at the applied gold price and cost parameters, and that the risk of not achieving the project grade profile is low. Should the gold price increase, or the operating costs of the project decrease significantly, the Deep Sulphide reserve tonnage would realise significant upside potential. The potential for using the simulation model coefficient of variation to improve the classification of the resource has been highlighted. This exercise could allow significant saving of feasibility drilling capital. en
dc.language.iso en en
dc.subject conditional simulation en
dc.subject Direct Block Simulation en
dc.subject risk pit en
dc.subject grade uncertainty en
dc.subject pit optimisation en
dc.subject coefficient of variation en
dc.subject probability en
dc.title The quantification of grade uncertainty, and associated risk, and their influence on pit optimisation for the Sadiola deep sulphide prefeasability project en
dc.type Thesis en


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