Reservoir Characterization and Geostatistical Modeling; A Data Analytical Approach to Practical Geospatial Reservoir Mapping

Date: 5th - 15th Jun 2023
Start Time: 14:00 BST
Location: Virtual
Instructor: Jeffrey Yarus

Business impact: The appropriate use of geostatistical methods can not only create a better understanding of the subsurface but also improve production and drive down the cost per barrel of oil equivalent. 

This course delivers expertise in the applied geostatistical methods that are essential for effective modern reservoir characterization and modeling. Variograms, kriging, and stochastic simulation are thoroughly explained from their basics upwards and illustrated in their application to modeling problems.

Participants will learn to:

1. Assess modern quantitative reservoir characterization and modeling techniques.
2. Design data quality control and analysis strategies for classical univariate and bivariate statistical methods.
3. Appraise the similarities and differences between traditional statistical methods and geostatistical methods.
4. Construct variograms and formulate their use in spatial analysis and “mapping” of geosciences data.
5. Formulate strategies to provide more spatially rigorous reservoir models, using geostatistical interpolation and stochastic simulation methods.
6. Illustrate the use of kriging and collocated co-kriging to provide the most-likely reservoir model.
7. Characterize commonly used conditional simulation methods, illustrate their use, highlight their pros and cons for capturing heterogeneity, and assessing uncertainty through the construction of multiple realizations.
8. Assemble the essential elements of a static 3D reservoir model from structural framework through to petrophysical integration, ready for use in dynamic simulation and other downstream operations like drilling and completion.
9. Discuss the differences between uncertainty assessment, sensitivity analysis, and risk analysis in reservoir characterization.
10. Evaluate reservoir heterogeneity and discuss upscaling criteria to capture the scale of critical resolution that addresses stated objectives.
11. Formulate reservoir model ranking criteria and evaluate their importance within an overall development plan.

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