Learning Objectives

Upon successful completion of this course, participants will be able to:

1. Fundamentals of Reservoir Fluids

• Understand the composition and classification of reservoir fluids (black oil, volatile oil, gas condensate, dry gas).
• Learn the importance of accurate fluid sampling and analysis in reservoir characterization.
• Examine reservoir pressure, temperature, and phase behavior concepts.

2. Reservoir Fluid Sampling Techniques

• Identify reservoir fluid sampling methods:
• Bottom-hole sampling (downhole PVT samples).
• Surface recombination sampling (separator gas & liquid sampling).
• Wellhead and production stream sampling.
• Understand best practices for sample collection, validation, and transportation.
• Mitigate contamination risks and phase changes during sampling.

3. PVT Analysis and Laboratory Testing

• Conduct laboratory PVT tests to determine:
• Bubble point and dew point pressures.
• Gas-oil ratio (GOR) and oil formation volume factor (Bo).
• Viscosity, density, and compressibility of reservoir fluids.
• Differential liberation and constant composition expansion tests.
• Apply equations of state (EOS) modeling for reservoir fluids.

4. Phase Behavior and Reservoir Engineering Applications

• Analyze reservoir fluid phase envelopes and phase diagrams.
• Predict fluid behavior during depletion and production.
• Understand gas injection and enhanced oil recovery (EOR) impact on phase behavior.

5. Fluid Characterization and Quality Control

• Integrate gas chromatography and compositional analysis for hydrocarbon components.
• Assess asphaltene, wax, and hydrate formation risks.
• Apply fluid characterization techniques for flow assurance and pipeline integrity.

6. Applications in Reservoir Modeling and Production Optimization

• Use PVT data in reservoir simulation and material balance calculations.
• Optimize separator conditions and production strategies based on fluid properties.
• Improve well deliverability predictions and enhanced oil recovery (EOR) strategies.

7. Advances in Digital Fluid Analysis and AI Applications

• Explore machine learning and AI applications in fluid property prediction.
• Utilize downhole digital sensors for real-time fluid monitoring.
• Apply cloud-based PVT data integration for reservoir management.

8. Case Studies and Practical Applications

• Analyze real-world reservoir fluid sampling and PVT analysis projects.
• Participate in hands-on PVT data interpretation and EOS modeling exercises.
• Develop a reservoir fluid sampling and analysis strategy for a selected field.

Target Audience

• Reservoir engineers and petroleum engineers
• Production and process engineers
• Laboratory technicians and PVT analysts
• Petroleum geologists and geochemists
• Subsurface and field development teams