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Experimental measurement and modeling of saturated reservoir oil viscosity
Abdolhossein Hemmati-Sarapardeh,Amir H. Mohammadi,Ahmad Ramazani S. A.,Seyed-Mohammad-Javad Majidi,Behnam Mahmoudi 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.7
A novel mathematical-based approach is proposed to develop reliable models for prediction of saturatedcrude oil viscosity in a wide range of PVT properties. A new soft computing approach, namely least square supportvector machine modeling optimized with coupled simulated annealing optimization technique, is proposed. Six modelshave been developed to predict saturated oil viscosity, which are designed in such a way that could predict saturatedoil viscosity with every available PVT parameter. The constructed models are evaluated by carrying out extensive experimentalsaturated crude oil viscosity data from Iranian oil reservoirs, which were measured using a “Rolling Ballviscometer.” To evaluate the performance and accuracy of these models, statistical and graphical error analyses wereused simultaneously. The obtained results demonstrated that the proposed models are more robust, reliable and efficientthan existing techniques for prediction of saturated crude oil viscosity.