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Content and Objectives
This course is designed according to the latest regulations on public reporting of Mineral Resources. It aims at showing how state-of-the-art statistical and geostatistical techniques help answer the requirements of those regulations in an objective and reproducible manner. A particular emphasis is put on understanding sampling and estimation errors and related uncertainties, as well as how to assign levels of estimation confidence through the application of resource classification fundamentals. In addition to a solid introduction to mining geostatistics, this course provides a comprehensive overview of how modern techniques, such as conditional simulations, are currently applied in the industry.
Attendees will learn:
Who Should Attend?
Exploration, mine and resource geologists, mining engineers, and anyone acting in the role of “qualified” or “competent person”.
Requirements: It is strongly recommended that participants bring a laptop. No previous exposure to statistics and geostatistics is required.
The Practice of Mineral Resources Estimation Within the Context of the New Regulatory Environment
Mineral Resources Modelling Within the Context of Scientific and Engineering Modelling
The Data and Information Bases
Resource Model Design and Fundamentals
Data Analysis for Resource Modelling
Modelling the Spatial Continuity
Estimation
Simulation
Mineral Resources Classification and Reporting
Use of Simulations in Mine Planning
Special Topics
McGill University
Department of Mining and Materials Engineering
3450 University Street
Frank Dawson Adams Building, Room 105
Montreal, Quebec, Canada H3A 0E8
See location on map
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