Pipeline Leak Localization via Sensor Time-of-Flight Analysis
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Solution Overview
Problem
Existing pipeline network leak localization methods are inefficient, as they fail to accurately determine the location of leaks in long-distance pipelines due to the complexity of flow dynamics and sensor data analysis.
Innovation Solution
A method and system that utilize a processor to analyze time-varying data signals from sensors along the pipeline, estimating the time of occurrence and relative distance of a leak based on measured data from multiple sensors, allowing for precise localization of the leak within specific pipe segments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional leak localization methods are used in pipeline networks, then the system structure remains simple, but the measurement precision and productivity of leak detection are insufficient
Solution Approach 1:
The pipeline network is divided into multiple pipe segments, each monitored by a pair of sensors. This segmentation allows the system to process leak detection data in manageable units, improving measurement precision by analyzing pressure transient behavior in discrete segments rather than treating the entire pipeline as a single unit.
Solution Approach 2:
The invention introduces a time dimension to leak detection by analyzing the timing of pressure transient arrivals at different sensors. By measuring the time difference of pressure wave arrival between paired sensors, the system can triangulate leak location along the pipeline, transforming a one-dimensional location problem into a two-dimensional solution space involving both position and time.
2Device complexity
If sensors are spaced farther apart to reduce the number of sensors, then device complexity decreases, but the ability to accurately localize leaks in long-distance pipelines deteriorates
Solution Approach 1:
The system pre-establishes paired sensor configurations at specific intervals along the pipeline before deployment. Each pair is positioned to monitor a specific pipe segment, with the pairing relationship predetermined. This preliminary arrangement optimizes leak detection coverage and accuracy without requiring dense sensor placement throughout the entire pipeline length.
Solution Approach 2:
The invention uses pressure transient waves as intermediaries to transmit leak information between sensors and the central processing system. By analyzing the characteristics and arrival times of these pressure waves, the system can infer leak location without requiring direct physical contact or dense sensor placement, effectively using the fluid medium itself as an information carrier.
3Measurement precision
If more sensors are deployed to improve leak detection accuracy, then measurement precision improves, but the complexity of data analysis and system operation increases
Solution Approach 1:
The data analysis process is segmented by processing information from each sensor pair independently for its corresponding pipe segment. This segmentation simplifies the overall data analysis complexity by breaking down the global optimization problem into multiple localized, easier-to-solve problems, while still achieving accurate leak localization across the entire pipeline network.
Solution Approach 2:
The system implements a distributed sensor network with more sensors than the absolute minimum required, but processes only the necessary partial information from each pair. By using multiple sensor pairs with overlapping coverage, the system achieves redundant measurement capability that improves accuracy while the selective processing of paired sensor data prevents analysis complexity from becoming unmanageable.
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
Enables efficient mitigation and repair efforts by accurately determining the leak location, considering scenarios of invariant and direction-dependent flow dynamics, thereby improving the reliability and speed of pipeline maintenance.
Implementation Method 1
the sensors may include a pressure sensor, and the equipment may include a compression station that increases pressure to push the gas along the pipeline
Implementation Method 2
Exemplary pipeline systems may also involve the injection of an acoustic signal and acoustic sensors
Implementation Method 3
identifying a respective measured time at which an effect of a leak exhibits in a time-varying data signal measured by each of a plurality of sensors distributed along the pipeline network
Data Source
AI summary
A method and system to localize a leak in a pipeline network include identifying a respective measured time at which an effect of a leak exhibits in a time-varying data signal measured by each of a plurality of sensors distributed along the pipeline network, each pair of the plurality of sensors defining a respective pipe segment therebetween. Estimating a time of occurrence of the leak based on the measured time associated with two or more of the plurality of sensors; and estimating a relative distance of a leak location from one or more of the plurality of sensors. Determining the leak location is based on the relative distance.