Mineral Resource Estimation

Learn how to perform resource estimation in an efficient way

DURATION: 3 DAYS | LEVEL: FUNDAMENTALS

Objective

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)

Prerequisites

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