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Geostatistical Mineral Resource Estimation and Meeting the new Regulatory Environment: Step by Step
Sep 20, 2021 08:00 AM (ET)
Sep 24, 2021 05:00 PM (ET)
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 to answer the requirements of those regulations in an objective and reproducible manner. A particular emphasis is put on understanding sampling and estimation errors and 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 the industry’s best practices in the broader field of Mineral Resource estimation.
Attendees will learn:
How to use statistical inference to identify problems with the data
How to produce models that address the needs of mining companies
Compliance with the standards of NI43-101, SEC Mining Disclosure Rules and JORC
Effective workflows from data preparation to resource classification
How to validate, reconcile and communicate resource estimation results
The fundamentals of resource classification and how to apply them in practice
How to produce auditable and reproducible resource estimates
Estimation of grade control models and best practices in ore selection
Spatial estimation of geometallurgical data
How to use conditional simulations to quantify uncertainty in resource estimates
How to integrate orebody simulations into mine planning
View the full course outline here
It is strongly recommended that participants bring a laptop and no previous exposure to statistics and geostatistics is required.
Lectures are given from 9 AM (refreshments at 8:30 AM) to 5 PM with two 15 minute coffee breaks and a 1 hour lunch break.
3450 University Street
Frank Dawson Adams Building, Room 105
Montreal, QC H3A 0E8
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