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Received November 5, 2013
Accepted January 27, 2014
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Experimental measurement and modeling of saturated reservoir oil viscosity

1Department of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran 2Department of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran 3Department of Petroleum Engineering, Petroleum University of Technolog, Ahwaz, Iran 4Institut de Recherche en Génie Chimique et Pétrolier (IRGCP), Paris Cedex, France 5Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, Howard College Campus, King George V Avenue, Durban 4041, South Africa
ramazani@sharif.edu
Korean Journal of Chemical Engineering, July 2014, 31(7), 1253-1264(12), 10.1007/s11814-014-0033-3
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Abstract

A novel mathematical-based approach is proposed to develop reliable models for prediction of saturated crude oil viscosity in a wide range of PVT properties. A new soft computing approach, namely least square support vector machine modeling optimized with coupled simulated annealing optimization technique, is proposed. Six models have been developed to predict saturated oil viscosity, which are designed in such a way that could predict saturated_x000D_ oil viscosity with every available PVT parameter. The constructed models are evaluated by carrying out extensive experimental saturated crude oil viscosity data from Iranian oil reservoirs, which were measured using a “Rolling Ball viscometer.” To evaluate the performance and accuracy of these models, statistical and graphical error analyses were used simultaneously. The obtained results demonstrated that the proposed models are more robust, reliable and efficient than existing techniques for prediction of saturated crude oil viscosity.

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