New compositional correlation for calculating the viscosity of crude oils

PETR 108

Li Xin Zhao1, Yan Wu, guoxq@cup.edu.cn2, Xu Qiang Guo, guoxq@cup.edu.cn2, and Lan Ying Yang, guoxq@cup.edu.cn2. (1) Department of Geoscience and Information, China University of Petroleum, 18# Fuxue Road, Changping District, Beijing, 102200, China, (2) Faculty of Chemical Science and Engineering, China University of Petroleum, 18# Fuxue Road, Changping District, Beijing, 102200, China
Crude oil viscosity is a very important physical property that controls and influences the flow of oil through porous media and pipelines. Hence, it is the basis of reservoir and exploitation calculation in petroleum engineering. In the heavy oil development process, viscosity is a significant parameter because a large amount of time and money are spent for the measurement of viscosity. This necessitates the development of reliable viscosity models capable of predicting crude oil viscosity exactly and reduces the expensive and cumbersome experimental measurements. This paper presents one new compositional correlation and model for estimating crude oil viscosity. The new methods use fluid composition, temperature, and pressure to predict the oil viscosity. The methods were derived from viscosity experiments of several crude oils from the China National Offshore Oil Corporation, and others. The calculation results show the superiority of the new methods over the other methods. The new compositional correlation produces an overall AAD of 10.6%
 

Poster Session
9:00 AM-11:00 AM, Wednesday, August 22, 2007 BCEC -- Exhibit Hall - B2, Poster

Division of Petroleum Chemistry

The 234th ACS National Meeting, Boston, MA, August 19-23, 2007