English

Vol. 9 4, 2019 p 444-451

Pages

Article name, authors, abstract and keyword

444-451

Evaluation of an empirical model to predict maximum pitting corrosion rate in wet sour crude transmission pipelines

Thibault Villette a, Abderrazak Traidia a, Sankara Papavinasam b, Abdelmounam M. El-Sherik a

a Saudi Aramco, PO Box 5000, Dhahran, 31311, Saudi Arabia
b CorrMagnet Consulting Inc., 6 Castlemore Street, Ottawa, Ontario, K2G6K8, Canada

DOI: 10.28999/2541-9595-2019-9-4-444-451

Abstract: A previously published empirical model for the prediction of internal pitting corrosion rate (PCR) was assessed to predict maximum PCR in wet sour crude Saudi Arabian transmission pipelines. Although, the original model did not capture actual PCRs, it succeeded to properly rank the selected pipelines by order of increasing PCRs. Two reasons were identified as the main source of discrepancy, namely, the corrosion mitigation availability and the flow-induced localized corrosion. The original empirical model was modified by introducing two correction factors. These correction factors were elucidated through numerical optimization and were based on delineating the contributions of each correction factor. Introduction of the correction factors significantly increased the agreement between predictions and field measurements.

Keywords: pitting corrosion, corrosion rate, empirical model, wet sour oil, corrosion inhibitor, flow-induced localized corrosion.

Acknowledgments
The authors gratefully acknowledge The Saudi Arabian Oil Company (Saudi Aramco) for funding and allowing publication of the present work.

For citation:
Villette T., Traidia A., Papavinasam S., El-Sherik A. M. Evaluation of an empirical model to predict maximum pitting corrosion rate in wet sour crude transmission pipelines. Nauka i tehnologii truboprovodnogo transporta nefti i nefteproduktovScience & Technologies: Oil and Oil Products Pipeline Transportation. 2019;9(4):444451.

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