Geostatistical Gridding

Learn how performing insightful data geostatistical analysis provides accurate and reliable solutions for geology or property mapping

Objective

Geoscientists working in the oil industry perform gridding tasks routinely. The course highlights hints and pitfalls of common gridding and details the practice of geostatistical algorithms to build structural or property models.

Key Features

The capabilities of geostatistics to handle petroleum data characterized by their heterogeneous nature are shown on real cases with a minimum of theory and a maximum of practice.

Who should attend

Geologists, geophysicists and reservoir engineers asking for a practical introduction to geostatistical methods for interpolating well and seismic data. Basic knowledge of statistics is recommended.

Course content

This session covers the following topics:

  • Overview of geostatistics and its main methods
  • Variographic analysis of porosity data
  • How the cross validation works to help in choosing the variogram model
  • The practice of kriging
  • Multivariate geostatistics and cokriging
  • Integration of wells and seismic data for time to depth conversion or property mapping
  • Comparison of collocated cokriging and kriging with external drift
  • Introduction to stochastic simulations for uncertainty assessment (velocities, facies modeling, volumetrics)

The practical exercises are achieved using the Isatis software.