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What's New in Supervisor 8.13?
Sequential Gaussian Simulation (SGS) is a conditional simulation technique commonly used in risk and variability analyses. SGS allows geologists to produce multiple equiprobable realisations of variables such as grade, density, tonnage, bed thickness and vein position. Outputs from SGS can be post processed to investigate ore probabilities at various cut off grades, identify patterns for optimum dig-lines and compare models using a range of grade tonnage curve tools.
With a dynamic and intuitive tree structure, Snowden’s Supervisor aims to make generating conditional simulations of multiple variables across multiple domains accessible to geologists of all levels.
Register for the webinar for a walk-through of this new feature and have your questions answered by Supervisor Product Manager, Anthony Cook, and Principal Geostatistician, Oscar Rondon.
About Your Hosts
Product Manager, Supervisor and Training
BSc, Grad. Cert. Geostats, MAusIMM
Anthony is a geologist with a strong technical background in resource estimation and mine operations (open pit and underground), developed since 2010. His experience spans nine geographically and geologically separate precious metal deposits and several mineralisation styles, including alluvial, supergene oxide and in-situ hard rock. While working with Gold Fields Ltd, Anthony was strongly involved with corporate technical innovation and business improvement projects including mine to mill reconciliation and optimisation. His experiences, which range from international secondment to private conference with industry leaders, has given Anthony a broad exposure to the mining industry.
MSc, Geostatistics, PhD, Mathematics, FAusIMM (GP)
Oscar is a skilled geostatistician and researcher with over 18 years of combined experience in the Oil & Gas and Mining industries. His experience in the Mining industry comprises resource estimation and applications of multivariate conditional simulation and uniform conditioning, change of support and non-linear geostatistical techniques within a range of different commodities and mineralisation styles. Oscar has a strong theoretical background which combined with his vast working experience as consultant has allowed him to customise, develop and facilitate geostatistical training courses worldwide.