A Novel Semi-Empirical Correlation for Prediction of Bubble Point Pressure of Hydrocarbon Mixtures Based on Patel-Teja & Valderrama-Patel-Teja Equations of State

Accurate prediction of bubble point pressure of a hydrocarbon mixture has been of concern for a long time in petroleum industry. Most of previous generalized empirical correlations suffer from unreasonable accuracy for prediction ofbubble point pressure of hydrocarbon mixtures. In this study, adequate analyses of phase envelope on the basis of Patel & Teja equation of state (PT EOS) and its modification by Valderrama (VPT EOS) for various petroleum reservoir fluids and a few number of C1-FC10 binary mixtures was performed so that a novel semi-empirical correlation for prediction of bubble point pressure of hydrocarbon mixtures is proposed which utilizes both PT & VPT EOS. It has been found that the proposed correlation is of higher precision and accuracy in predicting bubble point pressure of hydrocarbon mixtures than the conventional EOS, e.g. Peng-Robinson EOS which is known as the most reliable equation of state in petroleum industry. The proposed model also shows enough accuracy for predicting of dew point pressures as well.

Keywords:

Semi-empirical correlation , Equation of state , Bubble point pressure , Hydrocarbon mixture , Phase envelope , Patel-Teja , Valderrama-Patel-Teja , Peng-Robinson