Geostatistical Mineral Resource Estimation & Meeting the New Regulatory Environment
Geostatistical Mineral Resource Estimation & Meeting the New Regulatory Environment: Step by Step from Sampling to Grade Control
- Marcelo Godoy, Newmont Mining Corporation, USA
- Jean-Michel Rendu, JMR Consultants, USA
- Roussos Dimitrakopoulos, McGill University, Canada
- Guy Desharnais, SGS Canada Inc., Canada
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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:
- Demonstrate how standard statistical techniques help solve problems of sample reliability
- Understand when and how geostatistics can improve resource estimates
- Apply geostatistics to predict dilution and adapt reserve estimates to that predicted dilution
- Learn how geostatistics can help you categorize your resources in an objective manner
- Demystify conditional simulation and show how it addresses all the above problems
- Understand principles of NI 43-101, SEC Industry Guide 7, and 2007 SME Guide
It is strongly recommended that participants bring a laptop.
No previous exposure to statistics and geostatistics is required.