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A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models
Corrosion presents significant challenges in the marine, offshore, and oil and gas industries,
resulting in annual economic losses amounting to billions of dollars. To address these …
resulting in annual economic losses amounting to billions of dollars. To address these …
[HTML][HTML] Systematic literature review of the application of extended finite element method in failure prediction of pipelines
Ground movements caused by continuous freezing and thawing of the ground in arctic
regions can potentially lead to pipeline failures. There are many factors such as internal …
regions can potentially lead to pipeline failures. There are many factors such as internal …
Fast and accurate prediction of failure pressure of oil and gas defective pipelines using the deep learning model
Y Su, J Li, B Yu, Y Zhao, J Yao - Reliability Engineering & System Safety, 2021 - Elsevier
Determining the failure pressure of defective pipelines is an important part in pipeline
reliability engineering, which affects the assessment of pipelines residual service life. In this …
reliability engineering, which affects the assessment of pipelines residual service life. In this …
Probabilistic-based burst failure mechanism analysis and risk assessment of pipelines with random non-uniform corrosion defects, considering the interacting effects
F Jiang, S Dong - Reliability Engineering & System Safety, 2024 - Elsevier
Corrosion defects were primary causes for pipeline burst failures. Traditional methodologies
simplified the realistic irregular-shaped defects as uniform ones, ignoring the effects of …
simplified the realistic irregular-shaped defects as uniform ones, ignoring the effects of …
[HTML][HTML] Failure assessment of corroded ultra-high strength pipelines under combined axial tensile loads and internal pressure
The failure of corroded ultra-high-strength steel (X100 and X120) pipelines under combined
axial loads and internal pressure is investigated numerically by finite element analyses, and …
axial loads and internal pressure is investigated numerically by finite element analyses, and …
A review on defect assessment of pipelines: Principles, numerical solutions, and applications
Defect assessment is critical to fitness-for-service determination and failure pressure
prediction for pipelines. This work develops a comprehensive review of the principles …
prediction for pipelines. This work develops a comprehensive review of the principles …
[HTML][HTML] Numerical simulation of oil and gas pipeline corrosion based on single-or coupled-factor modeling: A critical review
Numerical simulation is an effective research approach to assess the condition and predict
the remaining service life of process pipelines suffering corrosion hazards. This work …
the remaining service life of process pipelines suffering corrosion hazards. This work …
[HTML][HTML] Failure pressure prediction of high toughness pipeline with a single corrosion defect subjected to combined loadings using artificial neural network (ANN)
Conventional pipeline corrosion assessment methods result in failure pressure predictions
that are conservative, especially for pipelines that are subjected to internal pressure and …
that are conservative, especially for pipelines that are subjected to internal pressure and …
Burst strength assessment of X100 to X120 ultra-high strength corroded pipes
This paper addresses analytically and numerically the burst strength of ultra-high strength
steel pipelines with corrosion defects based on their elastic-plastic collapse behaviour. First …
steel pipelines with corrosion defects based on their elastic-plastic collapse behaviour. First …
[HTML][HTML] Failure pressure prediction of a corroded pipeline with longitudinally interacting corrosion defects subjected to combined loadings using FEM and ANN
Machine learning tools are increasingly adopted in various industries because of their
excellent predictive capability, with high precision and high accuracy. In this work, analytical …
excellent predictive capability, with high precision and high accuracy. In this work, analytical …