A Survey and Study of Signal and Data-Driven Approaches for Pipeline Leak Detection and Localization
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 15, Issue 2
Abstract
A pipeline is critical in conveying water, oil, gas, petrochemicals, and slurry. As the pipeline ages and corrodes, it becomes susceptible to deterioration, resulting in wastage and hazardous damages depending on the material it transports. To mitigate these risks, implementing a suitable monitoring system becomes essential, enabling the early identification of damage and minimizing waste and the potential for hazardous incidents. The pipeline monitoring system can be exterior, visual/biological, and computational. This paper surveys state-of-the-art approaches and also performs experimental analyses with a few methods in signal/data-driven approaches within computational methods. More precisely, signal processing-based leak localization methods, artificial intelligence-based leak detection methods, and combined approaches are given. This paper implements five signal processing-based methods and 17 artificial intelligence-based methods. This implementation helps to compare and understand the significance of appropriate noise removal and feature extraction. The data for this analysis is collected using acousto-optic sensors from an experimental setup. After implementation, the highest observed leak localization accuracy is 99.14% with the wavelet packet adaptive independent component analysis-based generalized cross correlation, and the highest leak detection accuracy is 98.32% with the one-dimensional convolutional neural network.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
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Information & Authors
Information
Published In
Journal of Pipeline Systems Engineering and Practice
Volume 15 • Issue 2 • May 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Published online: Jan 29, 2024
Published in print: May 1, 2024
Discussion open until: Jun 29, 2024
ASCE Technical Topics:
- Correlation
- Disaster risk management
- Disasters and hazards
- Energy infrastructure
- Engineering fundamentals
- Gas pipelines
- Hazardous substances
- Infrastructure
- Lifeline systems
- Man-made disasters
- Mathematics
- Oil pipelines
- Pipe leakage
- Pipe materials
- Pipeline management
- Pipeline systems
- Pipelines
- Pipes
- Slurry pipelines
- Statistics
- Water and water resources
- Water leakage and water loss
- Water management
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