Geostatistical Mineral Resource Estimation and Meeting the new Regulatory Environment: Step by Step

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. 

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

LOGISTICS
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.