Basic Concepts of Geostatistics for the Oil & Gas Industry | Training course

Learn the basic concepts and methods underlying the use of geostatistics in the Oil & Gas industry.

Learning objectives

  • Have a reminder of the different uses of geostatistics for Oil & Gas applications.
  • Learn the theory and practice of classical geostatistics methodologies for reservoir modeling, with their pros and cons.
  • Learn how to integrate various data sources in the interpolation process to improve mapping quality.



  • Half of the course is devoted to theoretical and 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 Petroleum Edition.
  • Course material provided (documentation, journal files, training data, worked examples) for re-use in your workplace.
  • These two days may be complemented by one or two of the 3-day modules that delves into some of the most advanced geostatistical techniques, giving hints and pitfalls on how to use them: “Advanced Geostatistics for Geophysicists” and “Advanced Geostatistics for Reservoir Characterization”.

Who should attend

Any geoscientist or reservoir engineer involved in the building or use of geomodels.
No prior knowledge about geostatistics is required.

Course content

  • Overview of geostatistics for Oil & Gas applications.
  • Reminders about basic probability and statistics: distributions, mean, variance, correlation coefficient, linear regression, Monte-Carlo simulations.
  • Importance of data sampling, model resolution scales.
  • The basic tool of geostatistics: quantifying spatial correlation with the variogram.
  • Model fitting, classical variogram models.
  • Interpolation of data: kriging theory. 2D-3D examples.
  • Multivariate geostatistical framework for regionalized variables (model of coregionalization) and collocated cokriging. Application to property mapping.
  • Non stationary geostatistics and trend modelling: trends and residuals, kriging with external drift. Application to depth conversion and setup of the structural model.