(171c) An Integrated Prediction Model for H2S/CO2 Corrosion in the Pipe of Refinery | AIChE

(171c) An Integrated Prediction Model for H2S/CO2 Corrosion in the Pipe of Refinery

Authors 

Zeng, L. - Presenter, Texas A&M University
Lin, Y. R., Mary Kay O’Connor Process Safety Center
Mannan, M. S., Texas A&M University
Abstract for 2017 AIChE Spring Meeting and 13th Global Congress on Process Safety March 26-30, 2017 San Antonio, TX Session Selection: 51st Annual Loss Prevention Symposium (LPS) (T1C) T1C00 Mechanical Integrity, Asset Integrity, Damage Mechanisms, and Condition Monitoring - Oral Session

 

The Use of Finite Element Method (FEM) in Modeling Effect of CO2/H2S Corrosion

Lihan Zeng, Yan-Ru Lin and M. Sam Mannan

Mary Kay O'Connor Process Safety Center

Artie McFerrin Department of Chemical Engineering

Texas A&M University

College Station, Texas 77843-3122, USA

+1(713) 582-5653, lihan_zeng@tamu.edu

Abstract: Corrosion of equipment is one of the most important factors that results in the serious process safety incidents. Though various types of equipment are subject to corrosion issues to different extent depending on the process conditions, the pipeline and the pipeline network connecting units and equipment are relatively more vulnerable to corrosion. The vulnerability of pipeline to corrosion is due to the internal process conditions. Among the factors contributing to the internal corrosion, substance creating corrosive conditions in the pipeline, such as CO2 and H2S, is the most common factor, followed by flow condition of the processes (low, high or turbulent). Different oil companies and research institutions have developed models to predict CO2/H2S corrosion in carbon steel pipeline, which works well for the worst-case scenario, but varies widely when more complex effects are considered. In this research, a mechanistic CO2/H2S corrosion model was developed that integrates the effect of most important variables. The model investigated kinetics of electrochemical reaction involving corrosive substances, scaling & protective effects, and determined the flow pattern and its effect on the mass transport of corrosion-related chemicals. The software platforms based on finite element method were used to simulate the transport phenomena, which were validated by published experimental and field data.

Keywords

corrosion, pipeline, CO2, H2S, flow patterns, finite element method

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