Risk Analysis and Mineral Resource Classification

Learn the techniques of conditional simulations applied to uncertainty assessment and how to use them for resource classification.

Objectives

  • Learn the theory and practice of the various techniques of conditional simulations applied to continuous and categorical variables.
  • Learn how to process the simulation results for a comprehensive analysis of the uncertainties on the grades and geological facies.
  • Discover the practical and theoretical aspects of the different methods of mineral resource classification. Compare their pros and cons.

Key Features

  • Half of the course is devoted to methodological presentations, the second half to practical exercises on real-life cases to deepen the understanding of concepts. The focus is on illustrations and practical contributions of the covered concepts.
  • Computer exercises with Isatis.neo and Isatis.
  • Course material provided.

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.

Course content

  • Reminders of linear and non-linear geostatistics and their role in assessing uncertainty: dispersion variance, change of support, information effect, etc.
  • Full review of the conditional simulation methods available in Isatis.neo and Isatis:
    – Simulations of continuous variables: Turning Bands and Direct Block Simulations.
    – Simulations of categorical variables: Sequential Indicator Simulations.
  • Assessment of the uncertainties on estimated recoverable resources.
  • Review and comparison of the different resource classification methods: different criteria related to kriging and drilling mesh, confidence intervals calculated on simulations, Spatial Sampling Density Variance.
  • Case studies: assessing risk and uncertainty of estimated grades.

Prerequisites

As the course refers to advanced geostatistical concepts, it is highly recommended that attendees have a solid knowledge of variography and kriging.