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
- November 2019
- Document Type
- Journal Paper
- 667 - 677
- 2019.Society of Petroleum Engineers
- carbon dioxide corrosion, data-driven modeling, flow assurance, system identification, integrity management
- 20 in the last 30 days
- 113 since 2007
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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|
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