Hybrid model development emulating linear polarization resistance method towards optimizing dosages of corrosion inhibitors

Models that have been developed for optimizing dosages of a corrosion inhibitor are based on corrosion inhibition efficiencies quantified using costly and time-consuming measurements. The current study proposes a methodology for using corrosion data regularly generated from cooling water circuits of large-scale chemical plants to analyse corrosion mechanisms, predict the corrosion rate, and to potentially optimise dosages of multiple corrosion inhibitors. The hybrid model was developed based on an adaptation of the Butler-Volmer equation. Butler-Volmer parameters such as the anodic charge transfer coefficient were modeled as nonlinear functions of a single component of partial least squares (PLS), containing inhibitor concentrations. A suitable indicator of corrosion inhibition efficiency was identified from the model. Adequately capturing the relationship between inhibitors and the corrosion rate facilitates optimizing dosages of corrosion inhibitors using daily recorded data, without heavily relying on case-specific models and experiments.