Geostatistics in Geophysical and Geomodeling Workflows

Get enough insight into petroleum geostatistics to understand its added value and implementation conditions for improved reservoir models



Geostatistics is essential in geophysical and geomodeling workflows and has proven its added-value over the last decade especially for data processing or gridding issues: efficient data integration and conditioning, uncertainty quantification and probabilistic risk assessment.

This seminar provides a broad and practical overview of the geostatistical solutions applied for seismic data filtering, geological modeling and reservoir characterization. The focus is put on practical applications, underlining their pros/cons and underlying assumptions.

At the end, participants will understand the added-value of advanced geostatistics for accurate reservoir modeling.

Key Features

In order to illustrate the concepts, significant time is devoted to discussions about real cases and examples.

Who should attend

Any geoscientist involved in seismic data processing or geomodeling.

Course content

Introduction: Geomodeling in the E&P

  • Overview and key issues
  • Key points when comparing deterministic, statistical and geostatistical approaches.

Geostatistical applications for E&P workflows

  • Seismic data QC and filtering
  • Depth conversion
  • Reservoir characterization
  • Property modelling
  • Volumetrics

Geostatistical concepts

  • Data quality control
  • Variogram analysis
  • Kriging
  • Noise filtering
  • Data integration

Simulation of categorical variables (facies, objects)

  • Limitations of kriging-based techniques for assessing uncertainties
  • Main algorithms (pixel-based, process-based, object-based)
  • Pros/cons and underlying assumptions
  • Key issues: stratigraphic flattening, compositing well data, vertical proportion curves.

Simulation of continuous variables (surfaces, petrophysical properties)

  • Principles and main algorithms.