A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models

MMH Imran, S Jamaludin, AFM Ayob - Ocean Engineering, 2024 - Elsevier
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 …

[HTML][HTML] Systematic literature review of the application of extended finite element method in failure prediction of pipelines

MM Shahzamanian, M Kainat, N Yoosef-Ghodsi… - Journal of Pipeline …, 2021 - Elsevier
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 …

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 …

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 …

[HTML][HTML] Failure assessment of corroded ultra-high strength pipelines under combined axial tensile loads and internal pressure

U Bhardwaj, AP Teixeira, CG Soares - Ocean Engineering, 2022 - Elsevier
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 …

A review on defect assessment of pipelines: Principles, numerical solutions, and applications

G Qin, YF Cheng - International journal of pressure vessels and pi**, 2021 - Elsevier
Defect assessment is critical to fitness-for-service determination and failure pressure
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

C Wang, MF Hassanein, M Li - Natural Gas Industry B, 2023 - Elsevier
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 …

[HTML][HTML] Failure pressure prediction of high toughness pipeline with a single corrosion defect subjected to combined loadings using artificial neural network (ANN)

SD Vijaya Kumar, S Karuppanan, M Ovinis - Metals, 2021 - mdpi.com
Conventional pipeline corrosion assessment methods result in failure pressure predictions
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

U Bhardwaj, AP Teixeira, CG Soares - Ocean Engineering, 2021 - Elsevier
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 …

[HTML][HTML] Failure pressure prediction of a corroded pipeline with longitudinally interacting corrosion defects subjected to combined loadings using FEM and ANN

M Lo, S Karuppanan, M Ovinis - Journal of Marine Science and …, 2021 - mdpi.com
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 …