Course Contents
Module 1 - Introduction and Sampling Methods
Key Topics
- Introduction
- Why do we need fluid data?
- Fluid Phase Behavior & Basic PVT Properties & Exercises
- Phase Behaviour of single and multi-component systems, Miscibility concept
- Classification of the primary Reservoir fluids
- PVT properties of Crude Oils and Gas
- Dry Gas
- Black Oil
- Reservoir Fluid Sampling Methods (Why and When to Collect Samples? Representative| Samples, Sampling Methods, Surface Samples Quality Checks)
- Reservoir Engineering implications
Module 2 - PVT correlations
Key Topics
- How to order/request a PVT report: Practical implications
- PVT Correlations
- Black Oil Correlations
- Brine Correlations
- Gas Condensate Correlations
- Reservoir Fluid Studies (The Five Major Procedures)
- HC characterization: SCN groups & Implications
- CN distribution and its implications
Module 3 - Equation of State (EOS) fluid characterization
Key Topics
- Review of modern PVT lab. Reports & QC: Essential data/experiments.
- EOS
- Assumptions and limitations
- Different cubic and non-cubic EOS.
- C7+ characterization (Splitting, Grouping, Viscosity correlations)
- Volume Shifts
- EOS Tuning
- PVT Data Preparation for Reservoir Engineering Calculations.
Module 4 – Practical Software Exercises Workshop
Key Topics
- Introduction to different software modules
- Data Entry: Measured data/Key data
- Introductory Exercises: Compositional Input and Characterization
- CG fluid analysis and TBP analysis
- Compositional Grading
- OBM and OBM Contamination: Contaminated Samples (OBM de-contamination)
- Viscosity models
- Bring your PVT.
Module 5 - Practical Software Exercises Workshop, Petroleum Economics
Key Topics
- Flash and process
- Recombination
- Flow assurance simulation
- Routine PVT simulations
- EOR PVT simulations (Gas Enhanced Oil Recovery)
- Tuning (Recipe/Methodology): Justification and how to start the tuning process.
- EOS and Black oil table generation for different interfaces
- Bring your PVT.
- PVT and Petroleum Economics
- Industry standards and best practices

