Fundamentals of Mineral Resource Estimation
Learn how to perform resource estimation in an efficient way
This course is an introductory mining geostatistics course for resource estimation. It is ideal for newcomers to geostatistics or for someone wanting a refresher. It covers in detail variography and kriging (including kriging neighborhood analysis). The use of kriging results for mineral resource classification is also covered.
- Fundamental geostatistical concepts for mineral resource estimation.
- Demonstrations and examples.
- Hands-on exercises to reinforce and explore concepts (with Isatis and Minestis – Temporary software licenses will be provided for free for one month).
Who should attend
This course is aimed at geologists, engineers and other practioneers seeking a sound theoretical and practical knowledge of mining geostatistics.
- An overview of Mineral Resource Estimation procedures
- The key advantage of integrating geostatistics: why use it?
- Spatial data analysis: experimental variograms on raw grades and Gaussian transforms
- Variogram models
- The theory and properties of kriging
- Kriging in practice including Kriging Neighborhood Analysis (KNA) and cross-validation
- In situ resource estimation
- Resource classification (Inferred – Indicated – Measured)
None. This course is an ideal introduction to practical mining geostatistics.
To extend your knowledge, we recommend that you also attend the complementary advanced short course which covers multivariate geostatistics, recoverable resource estimation and risk analysis: Recoverable Resource Estimation with Isatis or Recoverable Resource Estimation with Minestis (according to the software you wish to be trained on).