Simulation of Phase Behavior of Crude Oil using Different Equations of State (EOS)

• Main Author: Kang, Hooi Y ee
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi PETRONAS 2011
• Subjects: T Technology (General)
• Online Access: http://utpedia.utp.edu.my/10430/1/2011%20-%20simulation%20of%20phase%20behavior%20of%20crude%20oil%20using%20differen%20equations%20of%20states%28EOS%29.pdf; http://utpedia.utp.edu.my/10430/

The knowledge and understanding of the phase behavior of crude oil is essential in order to know the changes of fluid behavior with respect to changes of temperature and pressure. Phase behavior of hydrocarbon mixture can be modeled using equation of state (EOS). It offers the advantage of an improved fluid property prediction over conventional black oil model and can be used to predict behavior of the entire composition path and pressure range of the process. The purpose of this study is to investigate the modeling of crude oil phase behavior using four different EOS which are Peng-Robinson (PR), Redlich-Kwong (RK), Soave-Redlich-Kwong (SRK), and Zudkevitch-Joffe-Redlich-Kwong (Z.TRK). The phase behavior of crude oil are examined and compared among three commercial softwares which are PVTi (ECLIPSE), PVTx (TEMPEST) and PVTp (Petroleum Expert). This work investigated the equation that best simulated the experimental Pressure, Volume and Temperature (PVT) data and described the phase behavior of crude oil accurately. Adjustment on the parameters of the chosen EOS, known as tuning or regression, is made to improve the prediction of chosen EOS model to match a variety of experimental fluid data. The work focused on the comparison using different EOS cross checked using three commercial PVT simulation softwares to test for the accuracy. Statistical error analysis along are used to evaluate the accuracy and applicability of the result generated. The results indicated PR EOS is the most accurate EOS in describing the phase behavior of crude oil. It fitted good and provided good representation of PVT experimental data. The tuning of the equation further resulted in greater accuracy. An efficient way of tuning strategy has been developed in this work which emphasis on the critical importance of sequence. It is concluded that the sequence of tuning which started with critical properties followed by BIC and omega properties resulted in greater accuracy.