New Correlating Parameter for the Viscosity of Heavy Crude Oils
Rashid S. Al-Maamari,
²
Omar Houache,
²
and Sabah A. Abdul-Wahab*
,‡
Departments of Petroleum & Chemical Engineering and Mechanical & Industrial Engineering,
College of Engineering, Sultan Qaboos UniVersity, P.O. Box 33, Al-Khod 123, Oman
ReceiVed June 29, 2006. ReVised Manuscript ReceiVed August 4, 2006
A new correlating parameter (CAPI) for heavy crude oils was developed. In this parameter, the API (American
Petroleum Institute) oil gravity was corrected using a factor comprising compositional fractions (saturates,
aromatics, resins, and asphltenes contents of the heavy crude oil). It was found that relating viscosity to CAPI
was more representative than relating the viscosity to the API measurement alone. Using this new correlating
parameter for the heavy crude oils considered in this study, two very different tendencies, defining a limiting
value of 15, were observed. The viscosities of oils found under the limiting value of 15 were very sensitive
to small changes in CAPI. An Omani heavy crude oil that showed higher viscosities compared to other crudes
of similar API was found to be normal in terms of viscosity behavior when CAPI was used. In addition, crude
oil viscosity could be predicted with more accuracy using this correlating parameter at different temperatures.
Introduction
Measurement/estimation of heavy oil viscosity is required in
predicting the easiness of fluid flow, selecting a production
approach, and predicting oil recovery. Numerous correlations
have been proposed in the literature for the estimation of fluid
viscosity (e.g., dead-oil viscosity (μ
od
), gas-saturated oil viscosity
(μ
ob
), and undersaturated oil viscosity (μ
o
)) based on measured
fluid properties.
1-36
In the majority of cases, these correlations
indicated a good prediction of crude oil viscosity for the oils
from which they were derived. However, when used with other
crude oils from other regions, these correlations are, in most
cases, not accurate and certain modifications are needed to
obtain acceptable viscosity predictions.
36-38
* Corresponding author. E-mail: sabah1@squ.edu.om.
²
Department of Petroleum & Chemical Engineering.
‡
Department of Mechanical & Industrial Engineering.
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2586 Energy & Fuels 2006, 20, 2586-2592
10.1021/ef0603030 CCC: $33.50 © 2006 American Chemical Society
Published on Web 09/08/2006