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Updated: Oct 30, 2025
09:37
Visualization of Flow Field Around a Vibrating Pipeline Within an Equilibrium Scour Hole
Published on: August 26, 2019
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Pipeline In-Line Inspection Method, Instrumentation and Data Management
Qiuping Ma1, Guiyun Tian1,2, Yanli Zeng3
1School of Automation, University of Electronic Science and Technology of China, Chengdu 611731, China.
Sensors (Basel, Switzerland)
|July 2, 2021
Summary
Pipeline integrity is crucial for energy transport. This study reviews non-destructive testing (NDT) methods and data management strategies for effective pipeline inspection and maintenance, ensuring operational safety.
Area of Science:
- Engineering
- Materials Science
- Data Science
Background:
- Pipelines are vital for energy transport but face integrity challenges from environmental factors and defects.
- Defects like metal loss, pitting, and cracks compromise pipeline integrity, posing significant safety risks.
Purpose of the Study:
- To investigate various non-destructive testing (NDT) methods for in-line pipeline inspection.
- To systematically compare current Pipeline Inspection Gauges (PIGs) and un-piggable robotic inspection systems.
- To explore data management models for defect analysis, prediction, and maintenance.
Main Methods:
- Review and comparison of NDT techniques including magnetic flux leakage (MFL), ultrasonic testing (UT), electromagnetic acoustic technology (EMAT), and eddy current testing (EC).
- Systematic analysis of PIGs, un-piggable robots, and their instrumental applications.
- Utilization of data models and management for defect quantification, classification, and failure prediction.
Main Results:
- Various NDT methods and integrated systems (PIGs, robots) are available for pipeline inspection.
- Data management plays a key role in condition-based maintenance and failure prediction.
- A comprehensive comparison of inspection technologies and data management approaches is presented.
Conclusions:
- Effective pipeline inspection requires a combination of advanced NDT methods and robust data management.
- Continuous development in inspection technologies and data analytics is essential for enhancing pipeline safety and reliability.
- Addressing challenges and future trends in pipeline inspection and data management is critical for the energy sector.
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