Review on automated condition assessment of pipelines with machine learning
Pipelines carrying energy products play vital roles in economic wealth and public safety, but
incidents continue occurring. Condition assessment of pipelines is essential to identify …
incidents continue occurring. Condition assessment of pipelines is essential to identify …
Leak detection and localization techniques in oil and gas pipeline: A bibliometric and systematic review
J Yuan, W Mao, C Hu, J Zheng, D Zheng… - Engineering Failure …, 2023 - Elsevier
Oil and gas pipelines are very important for fuel transportation, however leakages in them
may lead to life and property losses due to the release of the energy they contain. Reliable …
may lead to life and property losses due to the release of the energy they contain. Reliable …
A review of magnetic flux leakage nondestructive testing
Magnetic flux leakage (MFL) testing is a widely used nondestructive testing (NDT) method
for the inspection of ferromagnetic materials. This review paper presents the basic principles …
for the inspection of ferromagnetic materials. This review paper presents the basic principles …
Analysis of magnetic-flux leakage (MFL) data for pipeline corrosion assessment
Oil and gas pipelines transport and distribute large quantities of oil products and natural gas
to industrial and residential customers over a long distance. However, pipeline failures could …
to industrial and residential customers over a long distance. However, pipeline failures could …
An estimation method of defect size from MFL image using visual transformation convolutional neural network
In most current nondestructive testing systems, a magnetic flux leakage (MFL) method is
widely used in various industry fields, where the structural integrity of specimens is of vital …
widely used in various industry fields, where the structural integrity of specimens is of vital …
A pipeline defect inversion method with erratic MFL signals based on cascading abstract features
H Zhang, L Wang, J Wang, F Zuo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Defect inversion, as a key step in magnetic flux leakage (MFL) inspection widely used in
nondestructive testing (NDT) systems, is critical to quantitative analysis of pipeline risk level …
nondestructive testing (NDT) systems, is critical to quantitative analysis of pipeline risk level …
Deep learning for magnetic flux leakage detection and evaluation of oil & gas pipelines: A review
S Huang, L Peng, H Sun, S Li - Energies, 2023 - mdpi.com
Magnetic flux leakage testing (MFL) is the most widely used nondestructive testing
technology in the safety inspection of oil and gas pipelines. The analysis of MFL test data is …
technology in the safety inspection of oil and gas pipelines. The analysis of MFL test data is …
A cascaded deep learning approach for detecting pipeline defects via pretrained YOLOv5 and ViT models based on MFL data
P Chen, R Li, K Fu, Z Zhong, J Xie, J Wang… - Mechanical Systems and …, 2024 - Elsevier
Long-distance oil and gas pipeline has become the main mode of transporting oil and gas
resources as the demand for fossil energy increases. The complex environment of long …
resources as the demand for fossil energy increases. The complex environment of long …
Deformation characterization of oil and gas pipeline by ACM technique based on SSA-BP neural network model
J Xin, J Chen, C Li, R Lu, X Li, C Wang, H Zhu, R He - Measurement, 2022 - Elsevier
Accurate and quantitative characterization of deformation in oil and gas pipelines is
essential. This paper proposed a novel ACM (alternating current magnetization) based …
essential. This paper proposed a novel ACM (alternating current magnetization) based …
Data modeling techniques for pipeline integrity assessment: A state-of-the-art survey
Pipelines are economical and efficient modes of transporting oil and gas. Pipelines will
inevitably confront various risk factors throughout their lifespan, which could lead to defects …
inevitably confront various risk factors throughout their lifespan, which could lead to defects …