Geostatistical Reservoir Modeling

Instructors: Clayton V. Deutsch
Course Length: 5 DAYS
Course CEUs: 4.0

Course Description
This course provides participants with an understanding of the basic principles and techniques used to construct numerical reservoir models. It describes the preparation of input well, seismic, and production data. The application of geostatistics for modeling structure, facies, and multiple correlated petrophysical properties will be taught and implemented by hands-on exercises with real data. The course describes the best approach to both model heterogeneity and quantify uncertainty in a variety of reservoir situations. This course focuses on the overall concept and the detailed steps required to model reservoirs of varying complexity. The geostatistical models must mimic all physically significant features of the reservoir to provide predictive models. Moreover, a quantitative assessment of all significant aspects of uncertainty must be constructed for the models to give reliable measures of uncertainty in the resource and reserve. Each participant will gain an appreciation for the variety of geostatistical techniques and tools available. The participants will be able to apply key techniques and software with real reservoir data. The limitations and assumptions of different methods will be revealed.

Offered as a Public or In-house course.

Who should attend
Engineers, geologists, and geophysicists who are involved in performing, or supervising others performing reservoir characterization studies that involve geostatistics. Anyone in need of a better understanding of the techniques for heterogeneity modeling and uncertainty quantification techniques will benefit from this course.

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