Pipeline in-line inspection method, instrumentation and data management

Q Ma, G Tian, Y Zeng, R Li, H Song, Z Wang, B Gao… - Sensors, 2021 - mdpi.com
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 …

Analysis of magnetic-flux leakage (MFL) data for pipeline corrosion assessment

X Peng, U Anyaoha, Z Liu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] Global and local parameters for characterizing and modeling external corrosion in underground coated steel pipelines: A review of critical factors

C Kim, L Chen, H Wang, H Castaneda - Journal of Pipeline Science and …, 2021 - Elsevier
External corrosion assessments of pipeline systems encompass two critical factors: time and
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 …

A novel pulsed eddy current method for high-speed pipeline inline inspection

G Piao, J Guo, T Hu, Y Deng, H Leung - Sensors and Actuators A: Physical, 2019 - Elsevier
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 …

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 …

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 …

Deep learning enriched automation in damage detection for sustainable operation in pipelines with welding defects under varying embedment conditions

L Shang, Z Zhang, F Tang, Q Cao, N Yodo, H Pan… - Computation, 2023 - mdpi.com
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 …

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 …

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 …