Risk Analysis and Mineral Resources Classification Using Simulations
Gain a sound understanding of the concepts and techniques of conditional simulations for application to common mining issues
Geostatistical simulation techniques provide robust and valuable tools for helping to solve mining problems associated with risk and uncertainty. This course will provide you with a sound understanding of the concepts and techniques of conditional simulations for application to common mining issues. Practical solutions to calculate confidence intervals from conditional simulations are presented and discussed.
This course is focused on mining issues
- Simulations for continuous and categorical variables
- Simulation concepts and theory explained in a clear and concise way
- Demonstrations and examples using Isatis
- Plenty of hands-on exercises with Isatis to reinforce and explore concepts
Who should attend
This course is aimed at geologists, engineers and others seeking a sound theoretical and practical knowledge of conditional simulations for mining applications.
- Reminders of linear and non-linear geostatistics and their role in assessing uncertainty: dispersion variance, change of support, information effect, etc.
- Simulating continuous variables: Turning bands and Direct Block simulation
- Simulating categorical variables: Sequential indicator
- A comprehensive guide to simulation using Isatis
- Uncertainty on recoverable resources estimates
- Resource classification from sampling criteria to confidence intervals from simulations
- Case studies: Assessing risk and uncertainty of grade estimates
As the course refers to advanced geostatistical concepts, it is highly recommended that attendees have a reasonable knowledge of variography and kriging.