Quantifying Risk and Uncertainty with Geostatistical Simulations
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Objective
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 simulation for application to common mining issues, whatever your software package.
Key features
This course is focused on mining issues:
- Simulation 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 simulation for mining applications.
Course content
- Reminders of linear and non-linear geostatistics and their role in assessing uncertainty
- Dispersion variance
- Change of support
- Information effect
- Simulating continuous variables - Turning bands and Sequential Gaussian simulation
- Simulating categorical variables - Sequential indicator, Truncated Gaussian and pluri-Gaussian simulation
- A comprehensive guide to simulation using Isatis
- Case studies
- Assessing risk and uncertainty of grade estimates
- Optimising sampling strategies
- Tools for grade control
Prerequisites
As the course refers to advanced geostatistics concepts, it is highly recommended that attendees have a reasonable knowledge of variography and kriging.
This course may be scheduled for another date and/or location. Tailored courses may also be organized on client demand. Please contact your sales representative to request more information.
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