Geostatistical Mineral Resource Estimation and Meeting the New Regulatory Environment: Step by Step from Sampling to Grade Control

September 24, 2018 - September 28, 2018
Montreal, Canada

McGill University - Department of Mining and Materials Engineering, Frank Dawson Adams Building, Room 123A, 3450 University Street

DATE: September 24-28, 2018
TIME: 8:30 am-5:00 pm
PLACE: Montreal, Canada
INSTRUCTORS: Georges Verly, Wood, Canada and Roussos Dimitrakopoulos, McGill University, Canada



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 

    Please note:
    It is strongly recommended that participants bring a laptop.
    No previous exposure to statistics and geostatistics is required.

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Contact Information

COSMO Stochastic Mine Planning Laboratory

Deborah Frankland, Canada Research Chair and Laboratory Administrator


Phone: (514) 398-5461

Fax: (514) 398-7099