Abstract
Many process conditions in refinery amine units are known to promote accelerated corrosion. Monitoring corrosion in these units typically is limited to the traditional means - coupons, linear polarization probes, electrical resistance probes and so forth. Amine analyses are useful but not entirely without shortcomings when applied to corrosion monitoring. Computer modeling has evolved to become a useful tool in identifying potentially corrosive environments in localized areas within the unit. In this paper, a computer model is developed using data from a refinery system using MDEA to remove hydrogen sulfide from a process stream also containing carbon dioxide. Rules for reducing corrosion developed in-house or in literature are applied to anticipate corrosion.