Course Overview

Day-by-Day Outline

Day 1 – Fundamentals of PVT Behavior and EoS Theory

• Introduction to fluid PVT properties and their importance in reservoir engineering
• Overview of phase behavior: phase diagrams, critical point, saturation pressures
• Basic thermodynamic principles in EoS
• Comparison of ideal gas law vs. real gas behavior
• Exercise: Plot phase diagrams for idealized hydrocarbon mixtures

Day 2 – Classic Equations of State

•  Van der Waals, Redlich-Kwong, Soave-Redlich-Kwong (SRK), Peng-Robinson (PR) equations
•  Mathematical formulation and assumptions of cubic EoS
•  Strengths and limitations of each model
•  Practical considerations for choosing an EoS
•  Workshop: Calculate saturation pressures with SRK and PR EoS

Day 3 – EoS Parameter Estimation and Fluid Characterization

•  Determining critical properties and acentric factors
•  Fluid characterization: lumping of components into pseudo-components
•  Assigning properties to heavy ends and plus fractions
•  Introduction to EoS tuning concepts
•  Exercise: Build a component characterization table for a reservoir fluid

Day 4 – EoS Tuning and Validation with Laboratory PVT Data

•  Comparing EoS predictions to PVT lab data: constant composition expansion (CCE), differential liberation (DL), separator tests
•  Tuning binary interaction coefficients (BICs) and other parameters
•  Minimizing error in saturation pressures, Bo, Rs predictions
•  Using PVT software tools for EoS tuning
•  Workshop: Tune a Peng-Robinson EoS model to match lab data

Day 5 – Applications in Reservoir Engineering and Simulation

•  Using tuned EoS for black oil and compositional reservoir simulation
•  EoS-based phase behavior modeling for gas injection and miscible floods
•  Predicting fluid properties at different pressures and temperatures
•  Integrating EoS results in material balance, decline curve, and simulation models
•  Capstone Project: Build and tune a full EoS model for a field case, then generate property tables for simulation

Expected Learning Outcomes

•  Understand fundamental principles behind cubic Equations of State
•  Calculate and predict key PVT properties using SRK and PR models
•  Characterize reservoir fluids and estimate EoS parameters
•  Tune EoS to laboratory PVT data for accurate modeling
•  Apply EoS outputs in reservoir simulation, forecasting, and EOR design