Geostatistical Methods for Geological Modeling and Hydrogeology with Isatis

Get acquainted with Geostatistics essential concepts for the characterization of natural resources and their heterogeneities


The characterization of natural resources and of their heterogeneity is an increasing issue for the Environment: evaluation of natural risks, geotechnics, estimation of water resources, simulation of flows, optimization of measurement networks, evaluation of the efficiency / safety of an underground storage (CO2, waste, etc.), etc.

The course presents the appropriate geostatistical methods for these issues, from the implementation of sampling strategies to the quantification of the uncertainties attached to the modeling of continuous variables (top/bottom of geological horizons, hydraulic head, mechanical or hydrogeological properties) or facies data.


Methodological presentations followed by practical computer exercises on real data sets using Isatis. Focus is made on the illustrations and the application of the presented concepts. Half of the course is dedicated to practical computer exercises in order to reinforce the previously presented theoretical notions.

Who should attend

This course is aimed at engineers, geologists and hydrogeologists confronted with the modeling of the subsoil heterogeneity and with the estimation of hydrogeological variables. No prior knowledge of geostatistics is required. However a basic understanding of statistics is recommended.



  • Current practices in geological modeling and hydrogeology.
  • Heterogeneity and uncertainty characterization.

Understanding and estimation of the spatial heterogeneity of the followed phenomenon

  • Practical introduction to the concepts of heterogeneity and spatial variability.
  • Quantification of the spatial variability: calculation and interpretation of the variogram.

Mapping a continuous variable (horizon top, hydraulic head)

  • Deterministic interpolation methods.
  • Estimation by kriging (2D / 3D) and quantification of the attached uncertainty.
  • Consideration of auxiliary information: Digital Elevation Model, geophysical and/or geological information.
  • Introduction to the conditional simulations for the quantification of uncertainties.

Modeling of the geological heterogeneity

  • Presentation of simulation methods for discrete variables, in particular the plurigaussian and multipoint (MPS) simulations.
  • Post-processing of the results.


Have attended the course: “Geostatistics for Reliable Mapping with Isatis” or have a basic understanding of statistics / Isatis.