Risk Analysis and Mineral Resource Classification

Gain a sound understanding of the concepts and techniques of conditional simulations for application to common mining issues

DURATION: 3 DAYS | LEVEL: ADVANCED

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 simulations for application to common mining issues. Practical solutions to post-process simulations, assessing the uncertainty related to your estimates (grades, geology,…) are presented and discussed.

An overview of the methods used for mineral resources categorization is also presented, along with a practical session.  Methods covered range from Kriging variance to conditional simulations, and include an introduction to spatial sampling density variance, which measures the efficiency of a drilling pattern.

Key Features

This course is focused on mining issues

  • Simulations for continuous and categorical variables
  • Simulation concepts and theory explained in a clear and concise way
  • Comparison between the different methods to categorize your mineral resources between measured, indicated and inferred; use of simulations for building resources categories and new geostatistical tools such as spatial sampling density variance
  • 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 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.
  • Simulating continuous variables: Turning Bands and Direct Block Simulation
  • Simulating categorical variables: Sequential Indicator
  • A comprehensive guide to simulation using Isatis
  • Uncertainty on recoverable resources estimates
  • Resource classification from sampling criteria to confidence intervals from simulations
  • Explanations and practical examples on other tools to quickly assess your mineral resources categories.
  • Case studies: Assessing risk and uncertainty of grade estimates

Prerequisites

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