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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

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

Details

Start:
September 24, 2018 @ 8:00 am
End:
September 28, 2018 @ 5:00 pm
Cost:
$CND3500
Website:
https://www.cim.org/en/Services/CIM-Professional-Development/McGill-Seminars/Geostatistical-Mineral-Resource

Venue

McGill University
McGill University, Department of Mining and Materials Engineering, 3450 University Street
Montreal, Canada

Organizer

COSMO – Stochastic Mine Planning Laboratory
Phone:
514-398-5461
Email:
admcrc.mining@mcgill.ca
Website:
http://cosmo.mcgill.ca