Pipeline Leakage Prediction With Defect Sizing and Acoustic Detection
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Solution Overview
Problem
Existing methods fail to predict pipeline leakage accurately without excavating the entire length, which is costly and difficult, especially in water supply pipelines, limiting the identification of potential leaks and necessitating urgent repairs after failure.
Innovation Solution
A method to analyze and predict pipeline leakage by assessing specific portions, identifying through-wall or close-to-through-wall defects, calculating their maximum area and critical pressure, and using acoustic listening only on high-risk sections, reducing the need for extensive pipeline investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If acoustic leakage detection is used on the entire pipeline length, then leakage detection capability is improved, but cost and complexity increase significantly
Solution Approach 1:
The pipeline is divided into multiple sections, with only high-risk sections identified through defect analysis being subjected to acoustic leakage detection. This segmentation approach reduces the overall detection complexity while maintaining reliable leakage detection capability where it matters most.
Solution Approach 2:
Different detection strategies are applied to different parts of the pipeline based on their specific risk profiles. High-risk sections with through-wall or close-to-through-wall defects receive focused acoustic monitoring, while lower-risk sections use alternative assessment methods, optimizing resource allocation and reducing overall system complexity.
2Measurement precision
If excavation is performed on the entire pipeline length, then accurate leakage identification is improved, but cost and difficulty increase prohibitively
Solution Approach 1:
Defect analysis and risk assessment are performed as preliminary steps before any excavation or acoustic detection. By identifying high-risk sections through non-invasive defect analysis first, the methodology enables targeted subsequent actions that achieve accurate leakage identification without requiring excavation of the entire pipeline length.
Solution Approach 2:
The methodology replaces mechanical excavation with non-invasive defect analysis techniques (such as electromagnetic or ultrasonic testing) followed by targeted acoustic detection. This substitution achieves comparable or superior leakage identification accuracy while dramatically reducing the physical intrusion and cost associated with traditional excavation methods.
3Reliability
If only defect depth is predicted without area calculation, then analysis simplicity is maintained, but leakage prediction accuracy deteriorates
Solution Approach 1:
The analysis transitions from one-dimensional defect depth measurement to two-dimensional defect area calculation by incorporating both depth and horizontal extent measurements. This dimensional expansion provides a more comprehensive characterization of defect severity, enabling significantly improved leakage prediction accuracy while adding manageable computational complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Accurately predicts pipeline leakage without excavating the entire length, allowing targeted remedial actions on high-risk sections, reducing costs and enabling proactive maintenance.
Implementation Method 1
the condition of the pipeline wall is assessed by analysing a plurality of portions of the pipeline length to identify and size defects which may be large enough to allow leakage
Implementation Method 2
US2009229362 discloses apparatus to detect depth width and length of a defect in a pipeline
Implementation Method 3
correlators or other acoustic listening processes can then be used on only the identified sections which have been identified as having an increased likelihood of leakage
Implementation Method 4
the use of acoustic leakage detection becomes more economic and viable. Currently, only the presence and depth of defects within the pipeline wall and defects deep enough to potentially pass through the pipeline wall are predicted
Data Source
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AI summary
The invention relates to a method for assessing the condition of at least a portion of a pipeline to predict the possibility of occurrence of leakage from the pipeline. The method includes the steps of identifying at least one portion of the pipeline to be assessed, undertaking an assessment of the wall of said portion to identify defects located thereon and the said assessment includes identifying the depth, width and length of identified defects and including reference to a value for the pressure of the fluid passing through the said pipeline portion. This allows the condition of the pipeline at the portions of the same which are most critical to be identified and this is sued to provide an indication of the pipeline as a whole without the need to investigate the entire pipeline.