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An experimental study on the turbulent drag reduction in dispersed oil-water flow using different polymers has been conducted at different polymer concentrations and different flow conditions. This study presents the use of fuzzy logic for investigation of drag reduction performance of water-soluble polymers in multiphase flow in pipeline, operated with tap water and model oil. Fuzzy logic is more useful in connecting the multiple inputs to a single output and in contrast to the traditional logics. The objective of this study is to investigate the relationship between drag reduction and working parameters such as molecular weight, mixture velocity, charge density, polymer concentration and oil fraction, to determine how fuzzy logic performs in prediction of drag reduction (DR%). For this purpose several anionic polymers were applied in a two phase flow through a horizontal plexiglass pipe flow loop system of 30.6-mm ID. A 1000 ppm master solutions of each polymer were injected at different mixture flow rates to achieve polymer concentrations in the range of 5 to 30 ppm (optimum concentration) in the mixture flowing through the test section. The drag reduction increased with polymer concentration up to 10 ppm, above which it reached a plateau value. The results showed that drag reduction increases with polymer molecular weight and mixture velocity increase, and the maximum drag reduction affected by the increase in polymer charge density and oil fraction. The minimum drag reduction observed (at oil fraction of 0.5) around 5% and the maximum (always at 0.1 oil fraction) around 60%. Based on the results a fuzzy logic model has developed for the prediction of drag reduction and the prediction is also verified through various results of the rest of polymer. In addition a dimensional analysis is performed to find the best fitting equation to the results, and result shows that a quadratic form of the proposed equation is the most appropriate one among other possible form of equations. Keywords—Multiphase oil-water flow, drag reduction, Fuzzy Logic, molecular weight, charge density, mixture velocity, Dimensional Analysis.

Prediction of Water-Soluble Polymer Drag Reduction Performance in Multiphase Flow Using Fuzzy Logic Technique