journal article·2023-10

Methodology for ranking internal corrosion-induced leakage susceptibility in oilfield pipelines

Olagoke Olabisi, Amer Jarragh

Publisher page

Abstract

This investigation focuses on the ranking of pipeline leakage susceptibility of two categories of pipeline systems. One consists of three oilfield water-handling pipeline systems and the other consists of five dry crude systems. Online corrosion monitoring (OCM) method was used for both systems, forthermore, in-line inspection (ILI) method, with Magnetic Flux leakage (MFL) tool, was also used for the dry crude systems. The OCM leakage susceptibility potential is derived from the combined severity of general corrosion, pitting corrosion, fluid corrosivity and sessile bacteria population density in the process streams. The ILI leakage susceptibility potential is derived from the average number of corrosion anomalies greater than 10% of the wall thickness and the maximum depth of the anomalies (as percentage of the wall thickness). In spite of such distinctions, the ranking of pipeline leakage susceptibility for the five dry crude pipeline segments turned out to be identical for the two methodologies.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Structural Integrity and Reliability Analysis · Corrosion Behavior and Inhibition · Concrete Corrosion and Durability

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Infra-Tech Consulting LLC, Texas, United States

Kuwait Oil Company (KOC), Al Ahmadi, Kuwait

References (15)

Show source-provided references
1. Olabisi O · Mater Perform · 2018 · 57 · 6
2. API RP 580 - Risk Based Inspection. 1st ed. May 2002.
3. Olabisi O. · Mater Perform · 2013 · 52 · 8
4. Olabisi O, Jarragh A, Rashed AMAJ, Ranking pipeline leakage susceptibility: 2. Dry crude oil, material performance. 2023;62:8.
5. Rao B. P. C.. · 2012 · 11 · 7
6. Olabisi O · Material Performance · 2017 · 56 · 12
7. Field Monitoring of Bacteria Growth in Oil and Gas Systems. NACE International, NACE TM0194-2014.
8. Olabisi O, Al-Shammari AR, Al-Mithin AW, Developing a metric for microbiologically influenced corrosion (MIC) In oilfield water handling systems. CORROSION/2013, Paper No. C2013-0002299, (Orlando, FL: NACE 2013).
9. Preparation, Installation, Analysis, and Interpretation of Corrosion Coupons in Oilfield Operations. NACE International, NACE SP0775-2013.
10. Astm G1 – 03. Standard practice for preparing, cleaning, and evaluating corrosion test specimens. American Society for Testing and Materials, PA, 2003.
11. Olabisi O · Mater Perform · 2020 · 59
12. 10.1021/ed200396y10.1021/ed200396y ↗
13. Allen Bard J · 2001
14. Wikipedia. https://en.wikipedia.org/wiki/Tafel_equation.
15. Wikipedia. https://en.wikipedia.org/wiki/Overpotential.