An overview of geostatistics for the Oil&Gas industry

Discover in one day how geostatistics can help you optimize your reservoir characterization


This one-day seminar gives a general overview of the various possible applications of geostatistics for the E&P industry, from seismic data filtering to uncertainty quantification, through to time-to-depth conversion and facies and petrophysical property modeling.

Key points

Methodological exposition illustrated in the field of reservoir characterization on practical cases of application. Added value of the geostatistical methodology as well as its limits of application. Feedback and discussions.

Who should attend?

This course is aimed at project managers and decision-makers who want a practical, synthetic and pragmatic introduction to geostatistical methods for reservoir characterization.

Seminar content

Introduction: Geostatistics concepts and tools and their applications (30’)

  • General overview of geostatistics for Oil & Gas applications
  • Experimental variogram and variogram fitting
  • Kriging and its variants
  • Simulations
  • Geostatistics in Exploration-Production:

– Data analysis, control and enhancement
– Mapping
– Geological modelling
– Quantification of uncertainties

Application 1: Data analysis, control and enhancement (30’)

  • Statistical analysis of the data (uni and multi-variate)
  • Identification of abnormal values
  • Identification and characterization of spatial behavior and geological properties
  • Identification of hidden correlations
  • Data transformation: gaussian anamorphosis and its applications

Application 2: Seismic filtering

  • Characterization of noise and acquisition artifacts
  • Geostatistical filtering of seismic data (amplitudes, velocity, etc…)
  • Global filtering vs local filtering
  • Multi-acquisition filtering and 4D analysis

Application 3: Time to Depth conversion

  • Different geostatistical approaches for time to depth conversion

Application 4: Mapping of continuous properties

  • Simple mapping with ordinary Kriging
  • Mapping with local parameters
  • Data integration of disparate dataset:

– Multivariate mapping
– Mapping with auxilary maps
– Mapping with uncertain data or defined by intervals

  • Creation of regional 3D models

Application 5: 3D facies modelling

  • Different methods available
  • Modelling of facies proportions:

– Facies proportion model and sedimentological conceptual model
– Building of facies proportion models
– Use of seismic data

  • Modelling of diagenesis
  • Modelling of physical process: the example of meandering channelized systems
  • Combination of methods

Application 6: 3D modelling of petrophysical properties

  • Direct modelling vs modelling per facies
  • Border effects characterization and modelling
  • Conditioning to the hydrological connections

Application 7: Quantification of the uncertainties

  • Kriging variance
  • Usage of statistics on simulations:

– Volumetrics and risk curves
– Probability maps to be above a threshold
– Probability maps to be part of a reservoir or a facies


  • The practical implementation of geostatistical tools