Uncertainty-Based Grade Modelling of Kimberlite: a Case Study of the Jay Kimberlite Pipe, EKATI Diamond Mine, Canada
نویسندگان
چکیده
Understanding uncertainty in resource models is a significant requirement of ore deposit evaluation. Uncertainty analysis allows the modeller to explicitly quantify the risk around their estimate, along with provide high/low estimates for mine design, assess project up/down-side, model financial forecasts, and reconcile the deposit after mining. Geostatistical simulation is one method that can be used to quantify uncertainty and Sequential Gaussian Simulation (SGS) is one of the easiest techniques to understand and implement. Using SGS provides both a spatial model of a given variable and the ranges around that variable at any number of scales.
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Restoring the past glory of Diamond Mining in south India- A plausible case of diamondiferous Wajrakarur kimberlite pipe clusters with geochemical evidences
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