Data-Driven Modeling of Carbon Dioxide Corrosion for Integrity Management Application
- Hamdi Mnasri (University of Houston) | Taoufik Wassar (University of Houston) | Matthew A. Franchek (University of Houston) | Egidio (Ed) Marotta (Halliburton Landmark)
- Document ID
- Society of Petroleum Engineers
- SPE Production & Operations
- Publication Date
- March 2019
- Document Type
- Journal Paper
- 2019.Society of Petroleum Engineers
- integrity management, flow assurance, data-driven modeling, carbon dioxide corrosion, system identification
- 22 in the last 30 days
- 41 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 10.00|
|SPE Non-Member Price:||USD 30.00|
In this work we expand on the carbon dioxide (CO2) corrosion-rate model presented by DeWaard et al. (1995) using a parameter-varying (PV) approach to improve prediction accuracy. Specifically, the constant coefficients of the reaction-kinetics-dependent term are replaced with varying parameters presented as a function of mean flow velocity and pH. On the basis of experimental data provided by Nešic et al. (1996) and Dugstad et al. (1994), we compare the corrosion-rate predictions between the original model and the proposed model. A significant improvement of the correlation coefficient (R2) from 0.54 to 0.90 is achieved when the PV coefficients replace the constant coefficients. Accurate predictions of the CO2 corrosion rate affect useful life forecasting of oil and gas systems during front-end engineering design studies, facilitate condition-based maintenance, and serve as the basis for the creation of a digital twin for this process.
|File Size||1 MB||Number of Pages||11|
ASME. 2016. B31.8S: Managing System Integrity of Gas Pipelines. New York City: American Society of Mechanical Engineers.
Bockris, J. O. M. and Koch, D. 1961. Comparative Rates of the Electrolytic Evolution of Hydrogen and Deuterium on Iron, Tungsten and Platinum. J Phys Chem 65 (11): 1941–1948. http://doi.org/10.1021/j100828a007.
DeWaard, C., Lotz, U., and Dugstad, A. 1995. Influence of Liquid Flow Velocity on CO2 Corrosion: A Semi-Empirical Model. Washington, DC: US Department of Energy. https://www.osti.gov/biblio/106125-influence-liquid-flow-velocity-co-sub-corrosion-semi-empirical-model.
DeWaard, C., Lotz, U., and Milliams, D. 1991. Predictive Model for CO2 Corrosion Engineering in Wet Natural Gas Pipelines. Corrosion 47 (12): 976–985. https://doi.org/10.5006/1.3585212.
DeWaard, C. and Milliams, D. 1975. Carbonic Acid Corrosion of Steel. Corrosion 31 (5): 177–181. https://doi.org/10.5006/0010-9312-31.5.177.
DeWaard, C. and Milliams, D. 1976. Prediction of Carbonic Acid Corrosion in Natural Gas Pipelines. Ind Finish Surf Coatings 28 (340): 24–26.
Dugstad, A., Lunde, L., and Videm, K. 1994. Parametric Study of CO2 Corrosion of Carbon Steel. Houston, Texas: NACE International.
Gray, L. G., Anderson, B. G., Danysh, M. J. et al. 1990. Effect of pH and Temperature on the Mechanism of Carbon Steel Corrosion by Aqueous Carbon Dioxide. Corrosion/90 40.
NACE. 2017. NACE Technical Committee Report 21413-SG: Prediction of Internal Corrosion in Oilfield Systems From System Conditions. Houston, Texas: NACE International.
Nešic, S., Nordsveen, M., Nyborg, R. et al. 2001. A Mechanistic Model for CO2 Corrosion With Protective Iron Carbonate Films. Kjeller, Norway: Institute for Energy Technology. https://store.nace.org/01040-a-mechanistic-model-for-c02-corrosion.
Nešic, S., Nordsveen, M., Nyborg, R. et al. 2003. A Mechanistic Model for Carbon Dioxide Corrosion of Mild Steel in the Presence of Protective Iron Carbonate Films—Part 2: A Numerical Experiment. Corrosion 59 (6): 489–497. https://doi.org/10.5006/1.3277579.
Nešic, S., Postlethwaite, J., and Olsen, S. 1996. An Electrochemical Model for Prediction of Corrosion of Mild Steel in Aqueous Carbon Dioxide Solutions. Corros Sci 52 (4): 280–294. https://doi.org/10.5006/1.3293640.
Nordsveen, M., Nešic, S., Nyborg, R. et al. 2003. A Mechanistic Model for Carbon Dioxide Corrosion of Mild Steel in the Presence of Protective Iron Carbonate Films—Part 1: Theory and Verification. Corrosion 59 (5): 443–456. https://doi.org/10.5006/1.3277576.
Papavinasam, S., Revie, R. W., Friesen, W. I. et al. 2006. Review of Models To Predict Internal Pitting Corrosion of Oil and Gas Pipelines. Corros Rev 24 (3–4): 173–230.
Pots, B. 1995. Mechanistic Models for the Prediction of CO2 Corrosion Rates Under Multi-Phase Flow Conditions. Houston, Texas: NACE International.
Standards Norway. 2005. NORSOK M-506: CO2 Corrosion Rate Calculation Model. Oslo, Norway: Norwegian Technological Standards Institute.
Turgoose, S., Cottis, R., and Lawson, K. 1992. Modeling of Electrode Processes and Surface Chemistry in Carbon Dioxide Containing Solutions. In Computer Modeling in Corrosion, ed. R. S. Munn. West Conshohocken, Pennsylvania: ASTM International.