Geostatistical Mineral Resource Estimation and Meeting the new Regulatory Environment (ONLINE)

Starts:  Jan 10, 2022 11:30 AM (ET)
Ends:  Jan 24, 2022 04:30 PM (ET)

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

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.

Session 1: January 10 - 13, 2022 | Daily 11:30 am - 4:30 pm EDT
Session 2: January 17 - 21, 2022 | Daily 11:30 am - 4:30 pm EDT
Session 3: January 24, 2022 | 11:30 am - 4:30 pm EDT
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