Fundamentals of Reservoir Description and Modeling with Geostatistics
This course introduces engineers, geologists, and geoscientists to the fundamental theory and practice of reservoir description and modeling for reservoir management. Participants will learn the fundamental concepts of reservoir description and modeling using geostatistical techniques. This course emphasizes the principles and practice of integrated studies and uncertainty analysis.
- Fundamentals of reservoir modeling
- Overview of statistics and probability
- Data analysis, quality control, and preparation
- Variogram modeling
- Kriging techniques
- Stochastic simulation and modeling case studies
- Overview of uncertainty analysis and integrated studies
In this course, you’ll learn how to apply reservoir description and modeling to support reservoir management, and you’ll be able to recognize the limitations and opportunities of reservoir modeling.
This course is for petroleum engineers, geologists and geoscientists who want to apply reservoir description and modeling techniques for reservoir management. It is also for managers and supervisors who wish to update their skills to the current level of the technology.
1.6 CEUs (Continuing Education Units) are awarded for this 2-day course.
All cancellations must be received no later than 14 days prior to the course start date. Cancellations made after the 14-day window will not be refunded. Refunds will not be given due to no show situations.
Training sessions attached to SPE conferences and workshops follow the cancellation policies stated on the event information page. Please check that page for specific cancellation information.
SPE reserves the right to cancel or re-schedule courses at will. Notification of changes will be made as quickly as possible; please keep this in mind when arranging travel, as SPE is not responsible for any fees charged for cancelling or changing travel arrangements.
We reserve the right to substitute course instructors as necessary.
David O. Ogbe, PE is the president and a senior reservoir engineering advisor with Greatland Solutions, in Denver, Colorado, and professor emeritus, University of Alaska. Before joining Greatland Solutions, Ogbe was a lead reservoir engineer with Schlumberger in Denver. He was a professor of petroleum engineering and coordinator of the Coalbed Methane for Rural Energy Research Program at the University of Alaska Fairbanks. Ogbe specializes in oil and gas reservoir engineering, well testing, reservoir simulation, reservoir characterization and formation evaluation, and in large-scale reservoir simulation.
Ogbe earned his BS and MS from Louisiana State University and his PhD from Stanford University, all in petroleum engineering.