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Content and Objectives
A particular emphasis is placed on understanding the various sources of uncertainty and error through the mineral resources estimation process and how to characterize the geological confidence through the application of quantitative and qualitative criteria for mineral resources classification. Within the broader context of the engineering modelling discipline, this course provides a comprehensive overview of the industry best practices for mineral resources modelling.
Who Should Attend?
Exploration and mine geologists, resource analysts, mining engineers, and anyone acting in the role of “qualified” or “competent person”.
What Will Attendees Learn?
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
The Geo-spatial Modelling Framework
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
Forward the completed registration form to professionaldevelopment@cim.org
Deadline: September 12, 2022 (Limited Registrations Available)
Inclusions: Course notes, Morning Refreshments, and Lunch
SRK will be in attendance and featured as a proud sponsor of the SEG 2022 conference.
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