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Introducing Geostatistical Modeling Using the Plurigaussian and Multiple-Points Statistics Approaches

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The Nazarbayev University School of Mining and Geosciences, in collaboration with the University of Neuchâtel's Stochastic Hydrogeology and Geostatistics group, is organizing a two-day informative course on the 25th and 26th of May. This course is designed to introduce participants to geostatistical modeling techniques, specifically the PluriGaussian and Multiple-Point Statistics approaches.

These techniques are useful in modeling geological heterogeneity and the spatial distribution of categorical variables such as rock types or lithofacies. They have applications in fields such as hydrogeology, mining extraction, geotechnical characterization, and hydrocarbon reservoirs. Additionally, they can be employed in fields where categorical variables are important, such as biology for mapping plant or ecosystem types, simulation of soil types, land use, or hydroclimatic patterns.

Don't miss out on this opportunity to enhance your skills and knowledge in geostatistical modeling with Nazarbayev University School of Mining and Geosciences and the University of Neuchâtel's Stochastic Hydrogeology and Geostatistics group. Register now for the two-day course on Introducing Geostatistical Modeling Using the Plurigaussian and Multiple-Points Statistics Approaches.

At the conclusion of the two-day course, participants will

  • Learn the fundamental aspects underlying the PluriGaussian and Multiple-Point Statistics approaches;
  • Have the opportunity to apply them in practice through a series of tutorials and hands-on;
  • Gain an understanding of these geostatistical-modeling techniques and be able to apply them in their respective fields.
  • Receive a certificate of completion;
  • Have coffee break.

Limited number of seats.