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Workshop with both domain and software tasks enhancing the knowledge of Geostatistical Reservoir Characterization, from the static and dynamic perspectives.
“Geostatistical Reservoir Characterization with Petrel” is a one-week, classroom-based blended domain and software training. The objective of this training was to focus specifically on the characteristics, challenges, technologies and industry best-practices applicable to geostatistical analysis, and reservoir characterization from a geostatistical perspective, applying different modeling techniques, conditioning simulated models and analyzing geo-uncertainties as part of the static model definition and de-risking using a synthetic dataset.
The course provides the foundations of geostatistical descriptive and spatial analysis by covering the theoretical-applied aspects in both deterministic and stochastic modeling approaches.
It offers a wide perspective of best-practices to generate facies, litho-class, porosity, permeability, NtG and water saturation modeling techniques, and opens for assessing the uncertainties associated to those models.
The tasks and challenges are done in a team effort, where the instructor lead the sessions and students through discussion and active participation develop their own answers. That opens for discussions on different possible results.
This course can be a modular piece to longer training programs.
Geoscientists, Geomodelers, Reservoir Engineers.
Basic Petrel knowledge
Customize your own learning journey and track your progress when you start using a defined learning path.