Generation of Empirical Correlation for Predicting Drag Reduction of Oil-Water Flows with Natural Polymers

There is an increasing need to accurately predict the behaviour of fluid in the different flow geometry as applicable in the industries. the prediction of drag reduction phenomenon observed during the two-phase oil-water flow with drag reducing polymers in horizontal pipes was investigated. the power law model was adopted in this study to empirically correlate the data acquired from our earlier experimental works in a 12 - mm id and 20-mm id pipes. the model accurately predicts the drag reduction across the horizontal pipes. the agreement between the predicted and experimental drag reductions was better in the 12-mm id pipe than in the 20-mm id pipe. more work and data is needed to enhance the predictive accuracy of applicable models.