Computationally Efficient Stratified Flow Wet Angle Correlation for High Resolution Simulations

Abstract

In high resolution two-phase pipe flow simulations, such as slug capturing simulation for liquid-gas pipe flow, explicit calculation of stratified flow wet angle has been proposed to improve computational speed of simulations. Most phenomenological and approximate models for obtaining reliable predictions for stratified flow wet angle employ iterative methods or contain long explicit equations which reduce computational efficiency of these models in high-resolution simulations. Therefore, the aim of this study is to adapt a simple mathematical model for predicting stratified flow wet angle to achieve computationally efficient high-resolution liquid-gas pipe flow simulations. The proposed model for predicting stratified flow wet angle is obtained by fitting the generic regression model, Hoerl power law, to analytical stratified flow wet angle data. The proposed model is compared with existing prediction model. Results obtained show that the prediction model proposed gives up to 25.9% savings in computational time over the existing prediction model.