Reservoir Management & Monitoring
- Course focuses on well & reservoir management for higher recovery factor.
- Designed for reservoir/petroleum engineers & geoscientists.
- Builds confidence through presentations, exercises, and Q&A.
- Benefits include asset value increase, interdisciplinary collaboration.
- Topics cover reservoir characterisation, management process, technology toolkit.
Overview
The Reservoir Management Training Course aims to enhance understanding of well and reservoir management, focusing on achieving higher recovery factors. It is designed for reservoir or petroleum engineers and geoscientists responsible for daily reservoir management. The course builds confidence through presentations, interactive exercises, and practical field data exercises. Participants will gain awareness of increasing asset value, applying sound reservoir management principles, interdisciplinary collaboration, and cost-benefit analysis. Topics include reservoir characterisation, management processes, technology toolkit, recovery methods, well management, and adding economic value.
Who should attend
Reservoir Engineer, Petroleum Engineer, Geoscientist.
Course Content
DESCRIPTION
Everyday there will be a real field data example either to be solved with software (if available) or analytically.
DESIGNED FOR YOU, IF YOU ARE…
- A reservoir or petroleum engineer or a geoscientist responsible for the day-to-day management of reservoirs to improve their performance
The course can be given at any level depending on the audience’s experience.
HOW WE BUILD YOUR CONFIDENCE
- Power point presentations
- Interactive exercises
- Practical exercises on real field data to be solved with software (if available) or analytically
- Q&A
THE BENEFITS FROM ATTENDING
By the end of the course you will feel confident in your understanding of:
- Awareness of how to increase the asset value
- Applying the principles of sound reservoir management: How to plan field development and monitor reservoir performance
- Using the interdisciplinary collaboration to efficient reservoir management
- The importance of timing and cost vs. benefit analysis
TOPICS
What do we mean by ‘Reservoir Management’?
- Course objectives
- Definition of Reservoir Management (RM)
- Concept of RM
- RM technology shift
- The importance of teamwork
- Sources and acquisition of reservoir data
What is new in Reservoir Management?
- The ‘old’ sequential approach
- The ‘new’ integrated / iterative way of RM
Reservoir Characterisation
- The importance of reservoir characterisation
- Knowledge check Q&A
- Getting to understand your reservoir
- What is important in data acquisition?
Reservoir Management Process
- The ultimate objective: Increase the value of assets
- Possible targets – optimise / maximise / accelerate production, reduce cost, decrease risks, contingency plans, flexibility
- Planning a field development – What are the key elements?
- Monitoring well / reservoir performance
- Evaluating results by comparison of actual performance against prediction
The Technology Toolkit: Understanding the Reservoir
- Static and Dynamic Modelling: Review of available systems, selection on the methodology and software
- The importance of technical and technological competency
- Integration of geological, geophysical and engineering data
- Describing the reservoir: The static model
- Describing the reservoir behaviour: The dynamic model and reservoir simulation
- Probabilistic vs. deterministic reservoir modelling: Event solution
- Fluid characterisation: PVT modelling
- Reservoir surveillance: Monitoring performance and analysing the data, QC the reservoir understanding by actual well behaviour
- Setting reservoir for predictions
- Infill wells / sidetracks – where to drill?
- Well production / injection rates?
Recovery Methods
- Maximise value through ultimate recovery and improved recovery
Well Management
- Production Optimisation Using Nodal Analysis Approach
Adding Economic Value
- Techniques to maximise economic recovery, cost vs. benefit, bbl/$
- Minimising CAPEX, OPEX and risk
- Net cash flow
- How timing will affect the value
- Investment decision
- Project selection and revision
Practical Exercises
Everyday there will be a real field data example either to be solved with software (if available) or analytically.
