Slug flow regime is well known for being a major contributing factor to internal corrosion in pipelines. In
this paper a new methodology is introduced to predict the effect of slug flow regime on the performance
of corrosion inhibitors. First, a mechanistic model is implemented to predict the flow regime for
multiphase pipelines based on the pipeline operational conditions. Second, a method based on
momentum and energy equations for multiphase flows is applied to predict the profile, frequency and
length of slug fronts and gas bubbles formed in the slug flow regime. These predictions are then used
to perform a numerical simulation and study the effect of slug flow regime on the local shear stress
exerted by the flow over the protective inhibitor film. Calculated results are finally used to assess the
risk for initiation of flow-induced localized corrosion (FILC) and also provide an insight into the selection
criteria of a proper corrosion inhibitor “package” by or for the pipeline operator. This fundamental
engineering research has been conducted as an R&D project to better predict the characteristics of
different flow regimes inside petroleum pipelines, investigate their subsequent effect on the
performance of inhibitors and hence predict the overall corrosion inhibitor effectiveness.
Key words: Slug Flow, Corrosion Inhibitor, Computational Fluid Dynamics, Internal Corrosion Predictive
Modeling