Two-phase slug flow is one of the most common flow patterns in horizontal and near-horizontal multiphase pipelines. Predicting system integral parameters such as pressure gradient and liquid holdup using mechanistic models requires several closure relationships. One of the most crucial closure relationships is the slug translational velocity, which is a function of the slug distribution coefficient (C0). This study aims to compile a large database of slug translational velocity and slug distribution coefficients (C0) in upward, horizontal, and downward flows, evaluate existing models against the database, and propose a unified model. As a result, it is found that the physics governing the distribution coefficient in downward flow differs considerably from that in upward flow, and it goes through two flow transitions, which are functions of inclination angle. The proposed model in this study can model the slug distribution coefficient through its transitions and captures the physical behavior in the downward flow. A validation study reveals that the proposed model outperforms existing models with an average absolute percent error and standard deviation of 4.75% and 8.03%, respectively.

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