Anyone who wants to learn about principles behind state-of-the-art geostatistical inversion technology using StatMod® and RockMod®
We will review key concepts in statistics and geostatistics required for a deep understanding of the geostatistical inversion technology, in general, and StatMod® and RockMod®. The principle of Bayesian inference used to combine prior probabilities with beliefs and hypotheses to derive posterior probability, will be covered without the need of much mathematics. Important topics on conditioning of multi-disciplinary data for high-level integration in geostatistical inversion for different stages of the workflow, viz. geostatistical modeling, simulation, unconstrained and constrained inversion, uncertainty analysis and co-simulation will be discussed. Special emphasis on QC, analysis and interpretation of results from geostatistical inversion including ranking of multiple realizations to meet specific objectives in exploration, development and production will be included. Lastly, the course will focus on inverting directly for engineering properties using discretized rock physics models as input.
Knowledge of deterministic inversion & proficiency in using Jason Workbench
StatMod® and RockMod®
Lecture and practical software exercises
CGG GeoTraining offers the most comprehensive industry training based on years of practical experience acquired by our personnel.
Our proprietary courses are fully customizable and can be offered at a time and location convenient to you.
Please request a course for more information.