Pipeline in-line inspection method, instrumentation and data management
Pipelines play an important role in the national/international transportation of natural gas,
petroleum products, and other energy resources. Pipelines are set up in different …
petroleum products, and other energy resources. Pipelines are set up in different …
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 …
[HTML][HTML] Global and local parameters for characterizing and modeling external corrosion in underground coated steel pipelines: A review of critical factors
External corrosion assessments of pipeline systems encompass two critical factors: time and
space (location). Field measurement databases, laboratory testing, and theoretical …
space (location). Field measurement databases, laboratory testing, and theoretical …
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 novel pulsed eddy current method for high-speed pipeline inline inspection
High-speed inspection of inner diameter (ID) and outer diameter (OD) surface defects on
thick-wall steel pipes is an important aspect to advance the pipeline inline inspection (ILI) in …
thick-wall steel pipes is an important aspect to advance the pipeline inline inspection (ILI) in …
A deep learning-based ultrasonic pattern recognition method for inspecting girth weld cracking of gas pipeline
Y Yan, D Liu, B Gao, GY Tian, ZC Cai - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Electromagnetic Acoustic Transducer (EMAT) has become one of the fastest-growing
solutions for pipeline weld inspection over the past decade due to its non-contact …
solutions for pipeline weld inspection over the past decade due to its non-contact …
Current trends and perspectives of detection and location for buried non-metallic pipelines
L Ge, C Zhang, G Tian, X Xiao, J Ahmed, G Wei… - Chinese Journal of …, 2021 - Springer
Buried pipelines are an essential component of the urban infrastructure of modern cities.
Traditional buried pipes are mainly made of metal materials. With the development of …
Traditional buried pipes are mainly made of metal materials. With the development of …
Deep learning enriched automation in damage detection for sustainable operation in pipelines with welding defects under varying embedment conditions
Welded joints in metallic pipelines and other structures are used to connect metallic
structures. Welding defects, such as cracks and lack of fusion, are vulnerable to initiating …
structures. Welding defects, such as cracks and lack of fusion, are vulnerable to initiating …
A novel method for defects marking and classifying in MFL inspection of pipeline
J Pan, L Gao - International Journal of Pressure Vessels and Piping, 2023 - Elsevier
Abstract Magnetic Flux Leakage (MFL) testing is the most widely used non-destructive
technique for the inner inspection of oil and gas pipelines. Accurate quantification of defects …
technique for the inner inspection of oil and gas pipelines. Accurate quantification of defects …
The detection of PAUT pseudo defects in ultra-thick stainless-steel welds with a multimodal deep learning model
W Cao, X Sun, Z Liu, Z Chai, G Bao, Y Yu, X Chen - Measurement, 2025 - Elsevier
The pseudo defects are difficult to distinguish in Phased Array Ultrasonic Testing (PAUT)
thick-walled weldments. In this work, a multimodal feature fusion model is proposed to …
thick-walled weldments. In this work, a multimodal feature fusion model is proposed to …