Developing a numerical model for predicting the desorption behaviour of surfactant inhibitors in CO2 corrosion systems

Abstract

This research embarked on a comprehensive evaluation of the potential of numerical models in predicting desorption behaviour of surfactant inhibitors within CO2 corrosion systems, a significant challenge in the oil and gas industry. The study utilized meticulously prepared solutions to emulate real-world conditions, with the QCM-D experiment playing a pivotal role in tracking corrosion in real-time. Through controlled conditions, temperature stabilization, and high-resolution data collection, the research aimed to understand the intricacies of molecule-surface interactions. The application of the Langmuir kinetic model provided insights into surface adsorption, revealing both its precision in predicting adsorption patterns and its deviations in desorption predictions. These findings underscore the dynamic nature of molecular interactions and emphasize the need for ongoing model validation and refinement. In essence, the research not only addressed a significant gap in the field but also laid the groundwork for future studies that could transform corrosion management in the oil and gas sector.