Risk Analysis: The Geostatistical Approach

Learn the state-of-the-art in conditional simulations and uncertainty assessment

Objective

To provide an in-depth review of the different simulation methods applicable to the environment. The course specifically addresses issues of uncertainty assessment in different application fields such as soil and water pollutants, soil science, hydrogeology, oceanography, fisheries and civil engineering.

Key Features

Most commonly used simulation methods will be presented, from sequential methods (SGS, SIS) to the turning bands. The pros and cons of the different techniques will be discussed with particular attention being paid to their applicability to environmental data.

Who should attend

The course is designed for geologists, engineers and other geoscientists concerned with the analysis and quantification of risk, or for a better management of the available resources. Participants should have a good working knowledge of basic geostatistical techniques: variograms and kriging.

Course content

  • Introduction: a review of the fundamentals required in order to perfom geostatistical simulations – variography and kriging or cokriging.
  • Why we need simulations: sensitivity of the observed statistics to the sampling, limitations of the use of the kriging, risk quantification.
  • General overview of simulation methods for both continuous and categorical variables.
  • Interpreting the results: histograms, quantile plots and isoprobability maps.

Half of the course time is devoted to computer exercises, using the Isatis software package in order to reinforce the previously presented theoretical notions.