Advanced Geostatistics for Reservoir Characterization

• Generate robust 3D reservoir static models using standard and advanced geostatistical simulation techniques. Discuss their pros and cons.
• Improve model quality by integrating various data sources in the interpolation process and filtering seismic data.
• Perform facies modeling with a focus on the analysis of proportion curves and the role of the stratigraphic reference surface.
• Learn simulation techniques to populate the model with petrophysical properties constrained by the facies distribution.

• Introduction to the different concepts through a step by step workflow analysis and description.
• Half of the course is devoted to theoretical and methodological presentations, the second half to practical exercises on real-life cases to deepen the understanding of concepts. The focus is on illustrations and practical contributions of the covered concepts.
• Computer exercises with Isatis.neo Petroleum Edition.
• Course material provided (documentation, journal files, training data, worked examples) for re-use in your workplace.

This course aims at geologists, geophysicists and reservoir engineers involved in reservoir characterization.

DAY 1: HORIZON MAPPING AND GEOPHYSICAL RESERVOIR CHARACTERIZATION

• Overview of the standard geomodeling workflow
• Data integration techniques (kriging in the multivariate case, kriging with external drift and kriging with Bayesian drift, kriging with uncertain data) with application examples in Time-to-Depth conversion and regional integration of seismic data
• Introduction to geostatistical filtering of seismic data with factorial kriging
• Application of geostatistical simulations for assessing uncertainty on maps

DAY 2: POPULATING A GEOLOGICAL MODEL WITH FACIES

• Facies definition from logs with a geostatistical clustering technique
• Presentation of facies distribution modeling concepts
• Common simulation algorithms for categorical variables (facies)
  – Indicator simulations (SIS)
  – Truncated Gaussian (TGS) and Plurigaussian (PGS) simulations
  – Boolean simulations (object-based)
  – Multiple-Point Statistics (MPS)
  – Process-based approaches (Flumy)
• Accounting for structural constraints in facies modeling

DAY 3: POPULATING A GEOLOGICAL MODEL WITH PROPERTIES – CONNECTIVITY INTEGRATION

• Advanced analysis of petrophysical properties in facies
• Common simulation algorithms for petrophysical properties
• Volumetrics and quantification of the associated uncertainty
• Accounting for dynamic data (honoring connectivity information)

As the course refers to advanced geostatistical concepts, it is highly recommended that attendees have a reasonable knowledge of variography and kriging.

The course “Basic Concepts of Oil & Gas Geostatistics” covers the fundamental concepts of geostatistics for Oil & Gas and provides an ideal basis to this course.