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Geostatistical Mineral Resource Estimation and Meeting the New Regulatory Environment: Step by Step from Sampling to Grade Control Course. McGill University, Montreal, Canada.
September 24, 2018 @ 8:00 am - September 28, 2018 @ 5:00 pm$CND3500
Who should attend?
Exploration and mine geologists, resource analysts, mining engineers, and anyone acting in the role of “qualified” or “competent person”.
Content & 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 answering 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 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 industry’s best practices in the broader field of Mineral Resource estimation.
You will learn to:
- How to use statistical inference to identify problems with the data
- How to produce models that address the needs of mining companies
- Compliance with NI43-101, SEC Industry Guide 7 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
It is strongly recommended that participants bring a laptop.
No previous exposure to statistics and geostatistics is required.