Advanced Multivariate Geostatistics CertificationRCM/MGEOSTAT

Who should attend?

  • This course provides participants with a comprehensive technical knowledge and to get familiar with geostatistical methods used in Geophysics, Reservoir Characterization and Modeling studies.
Audience :
  • This certification is designed for experienced geoscientists involved in data interpretation and management. Recommended for geologists, geophysicists and reservoir engineers involved in integrated reservoir studies.

Level : Advanced

Course Content

  • MULTIVARIATE DATA ANALYSIS

      • Statistics: distributions, mean, variance, correlation coefficient, linear regression.
      • Multivariate statistical analysis: PCA, Min-Max autocorrelation factor.
      • Variograms and cross-variogram: the linear model of coregionalization.
  • COKRIGING & ITS VARIATIONS

      • Kriging theory: building the kriging system of equations, kriging weights behavior, cross-validation.
      • Generalization of kriging to the multivariate case: cokriging.
      • Particular case of collocated cokriging.
  • KRIGING WITH AUXILIARY VARIABLES

      • Kriging with trend: universal kriging formalism.
      • Kriging with external drift.
      • Comparison between collocated cokriging and kriging with external drift.
      • Kriging with Bayesian drift.
      • Kriging with fuzzy data.
  • GEOSTATISTICS & CLASSIFICATION

      • Clustering methods for ElectroFacies calculation.
      • Enhancing clustering by integrating spatial constraints.
      • Pitfalls in ElectroFacies calculation and characterization.
  • FACTORIAL KRIGING & FACTORIAL COKRIGING

      • Multi-components variograms (univariate and multivariate cases).
      • Factorial kriging theory.
      • Application to data filtering.
      • Seismic filtering with multiple acquisitions.
  • GEOSTATISTICAL SIMULATIONS IN THE MULTIVARIATE CASE

      • Reminder about geostatistical simulations, comparison with kriging.
      • Theoretical overview of co-simulations of continuous variables.
      • A multivariate facies simulation method: truncated Pluri-Gaussian Simulations (PGS).
      • Complex sedimentary patterns modeling with PGS.
  • SUMMARY & TEST

      • Summary of the studied methods and their applications: Q&A session.
      • Final examination.

Learning Objectives

  • Upon completion of the course, participants will be able to:
  • acquire a practical approach to the industrial methodology of reservoir characterization and modeling, in particular with geostatistical tools and methods,
  • use geostatistical tools and methods (variograms, kriging, cokriging, external drift, simulations),
  • use geostatistical methods for seismic data filtering and Time-to-Depth conversion,
  • use geostatistical methods for enhancing classification for ElectroFacies determination,
  • choose ways for property simulations using geostatistical algorithms: facies (pixel and object methods); petrophysics (gaussian methods),
  • constrain 2D or 3D properties distribution using various information (e.g. geology, seismic and dynamic data) of different nature and accuracy,
  • use industrial software dedicated for geostatistics.

Ways & Means

  • Lectures and hands-on activities. Practical examples and laboratory exercises will be performed using dedicated software: Isatis™.

Certification

  • An international recognition of your competencies.
  • A Advanced Certificate is delivered.
  • An expertise confirmed in Advanced Multivariate Geostatistics .
  • Ready-to-use skills.