In part one of this two-part series, we introduce a comprehensive mechanistic model for predicting CO2
corrosion rates and chemical speciation throughout the boundary layer, developed using multiphysics
software. Parametric studies are conducted to interrogate the model over an extensive range of
temperatures, partial pressures, and bulk pH values. Contour plots are produced showing the variation
in key outputs, including corrosion rate, surface pH, and surface saturation ratio with respect to iron
carbonate (FeCO3).

The results display significant variation between the bulk and surface chemistry across the entire range
of conditions examined, with local species concentration several times larger/smaller compared to the
bulk. The observed output responses to the input conditions in many instances were found to vary
depending on the other set conditions, demonstrating the difficulty in predicting corrosion behavior
without the aid of either such computational models or reliable experimental data. The observed
behaviors are discussed in detail in relation to the fundamental aspects incorporated into the model in
order to provide greater understanding of the corrosion process.