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.

Key Features

  • 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.

Course content

  • 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 Recoverable Resource Estimation