![Introductory Geo Scientist Processes & Techniques for Reservoir Engineering](https://cdga-training.com/uploads/courses/Introductory Geo Scientist Processes & Techniques for Reservoir Engineering.jpg)
The course covers three related main themes - building a static reservoir model; developing a dynamic reservoir numerical simulation model; reservoir management during the producing life of a field. The material covered in this course is built around the process of the construction of a reservoir model. The process is in three parts; building a static reservoir model, developing a dynamic model and reservoir management during the producing life of a field.
By the end of this course, delegates will be able to:
Geologists, Geophysicists, Reservoir Engineers, Production Engineers, Petrophysicists, Petroleum Engineers, Drilling Engineers, Field Development Engineers, Managers, Asset Managers, Oil & Gas Engineers, Reservoir Operators, Surveillance Engineers, Technicians, Engineering Trainees, Technical Managers, Technical Assistants, Technicians, Chemists, Physicists, Technical Supervisors, Service Company Personnel responsible for improving the performance of petroleum reservoirs, geoscientists and professionals from other disciplines who interface with reservoir engineers in their regular work, or who wish to obtain a broad grounding in reservoir engineering techniques. It is appropriate for reservoir or production geoscientists at an introductory level and for exploration geoscientists at an intermediate or advanced level
Controls on Fluid Flow in the Reservoir
Defining Fluid Contacts and Estimating Volumetrics
Reservoir Fluid Properties
Well Test Analysis
Material Balance and Fluid Displacement
Dynamic Well Performance
Reservoir Simulation
Reservoir Monitoring
Production Forecasting
Enhanced Oil Recovery Techniques
CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.
Code | Date | Venue | Fees | Register |
---|---|---|---|---|
GE129-05 | 10-11-2024 | Dubai | USD 5450 |
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