SCI和EI收录∣中国化工学会会刊

Chin.J.Chem.Eng. ›› 2014, Vol. 22 ›› Issue (3): 346-354.DOI: 10.1016/S1004-9541(14)60017-3

• CHEMICAL ENGINEERING THERMODYNAMICS • Previous Articles     Next Articles

Improved Correlations for Prediction of Viscosity of Iranian Crude Oils

Majid Taghizadeh, Mehdi Eftekhari   

  1. Chemical Engineering Department, Babol University of Technology, Babol 4714871167, Iran
  • Received:2012-06-19 Revised:2013-01-15 Online:2014-03-05 Published:2014-03-28
  • Contact: Majid Taghizadeh

Improved Correlations for Prediction of Viscosity of Iranian Crude Oils

Majid Taghizadeh, Mehdi Eftekhari   

  1. Chemical Engineering Department, Babol University of Technology, Babol 4714871167, Iran
  • 通讯作者: Majid Taghizadeh

Abstract: Empirical equations for predicting the viscosity of Iranian crude oils above, at and below the bubble-point pressure were developed based on pressure-volume-temperature (PVT) data of 57 bottom hole samples collected from central, southern and offshore oil fields of Iran. Both statistical and graphical techniques were employed to evaluate these equations compared with other empirical correlations. The results show that the developed correlations present better accuracy and performance for predicting the viscosity of Iranian crude oils than those correlations in literature.

Key words: viscosity correlations, pressure-volume-temperature (PVT) data, viscosity prediction, Iranian crude oils

摘要: Empirical equations for predicting the viscosity of Iranian crude oils above, at and below the bubble-point pressure were developed based on pressure-volume-temperature (PVT) data of 57 bottom hole samples collected from central, southern and offshore oil fields of Iran. Both statistical and graphical techniques were employed to evaluate these equations compared with other empirical correlations. The results show that the developed correlations present better accuracy and performance for predicting the viscosity of Iranian crude oils than those correlations in literature.

关键词: viscosity correlations, pressure-volume-temperature (PVT) data, viscosity prediction, Iranian crude oils