Overview
This course provides focused training in construction and calibration of integrated reservoir models. It addresses practical requirements encountered in subsurface studies combining static and dynamic field information. Participants explore the technical principles behind reliable decision-making and day-to-day execution. The learning experience uses relevant field examples, guided exercises and technical discussions. The program is intended for engineers, technical specialists, supervisors and related operational personnel. Content depth, case studies and delivery methods can be adapted to the client’s equipment, priorities and participant experience.
Objectives
By the end of the program, participants will be able to:
- Identify data needed for static and dynamic models.
- Integrate geological, petrophysical and production inputs.
- Explain gridding, properties and initial conditions.
- Perform basic model quality and consistency checks.
- Interpret history matching and uncertainty concepts.
- Use model results to support development choices.
Course outline
Data foundation
- Well logs
- Core data
- Seismic inputs
- Production histories
Static model
- Structural framework
- Facies modelling
- Petrophysical properties
- Upscaling
Dynamic setup
- Fluid models
- Rock properties
- Initial conditions
- Well controls
Calibration
- Data QC
- History matching targets
- Sensitivity cases
- Uncertainty ranges
Decision use
- Forecast scenarios
- Development options
- Model limitations
- Results communication
Customised for your team
After you accept the proposal, an online customisation session adapts content, examples and exercises to your participants, standards and equipment.