Fitness-for-service analysis for corrosion resistant alloy clad pipeline damaged due to lodged intelligent pig

Reda, Ahmed; Sultan, Ibrahim; Shahin, Mohamed A.; McKee, Kristoffer K.; Lagat, Christopher

doi:10.1016/j.ijpvp.2022.104683

Cited by 11 publications

(2 citation statements)

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“…Evaluating corrosion risks in pipelines requires a lot of effort. There are various defects in traditional corrosion test pieces, probes, ultrasonic thickness measurement, and other technologies (Reda et al , 2022; Tan et al , 2021; Wasim and Djukic, 2022). For example, the data measured by nondestructive testing have large errors and online monitoring can only monitor some local points.…”

Section: Life Predictionmentioning

confidence: 99%

Application of artificial intelligence (AI) in the area of corrosion protection

Lin

Zhang

et al. 2023

ACMM

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Purpose As a common form of failure in industry, corrosion causes huge economic losses. At present, with the development of computational techniques, artificial intelligence (AI) is playing a more and more important role in the field of scientific research. This paper aims to review the application of AI in corrosion protection research. Design/methodology/approach In this paper, the role of AI in corrosion protection is systematically described in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction. Findings With efficient and in-depth data processing methods, AI can rapidly advance the research process in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction and save on costs. Originality/value This paper summarizes the application of AI in corrosion protection research and provides the basis for corrosion engineers to quickly and comprehensively understand the role of AI and improve production processes.

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Section: Life Predictionmentioning

confidence: 99%

Application of artificial intelligence (AI) in the area of corrosion protection

Lin

Zhang

et al. 2023

ACMM

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“…Subsea pipelines provide economic advantages with a long service life expectancy [1,2]. There is a shift in the industry from having a finite lifespan for subsea pipelines to the idea of keeping them operational for economic reasons [3].…”

Section: Introductionmentioning

confidence: 99%

Roadmap for Recommended Guidelines of Leak Detection of Subsea Pipelines

Reda,

Mahmoud,

Shahin

et al. 2024

JMSE

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The leak of hydrocarbon-carrying pipelines represents a serious incident, and if it is in a gas line, the economic exposure would be significant due to the high cost of lost or deferred hydrocarbon production. In addition, the leakage of hydrocarbon could pose risks to human life, have an impact on the environment, and could cause an image loss for the operating company. Pipelines are designed to operate at full capacity under steady-state flow conditions. Normal operations may involve day-to-day transients such as the operations of pumps, valves, and changes in production/delivery rates. The basic leak detection problem is to distinguish between the normal operational transients and the occurrence of non-typical process conditions that would indicate a leak. To date, the industry has concentrated on a single-phase flow, primarily of oil, gas, and ethylene. The application of a leak-monitoring system to a particular pipeline system depends on environmental issues, regulatory imperatives, loss prevention of the operating company, and safety policy rather than pipe size and configuration. This paper provides a review of the recommended guidance for leak detection of subsea pipelines in the context of pipeline integrity management. The paper also presents a review of the capability and application of various leak detection techniques that can be used to offer a roadmap to potential users of the leak detection systems.

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