Gas Leak Detection via Wind-Compensated Vehicle Surveys
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Solution Overview
Problem
Conventional methods for detecting gas leaks in pipelines are time-consuming and unreliable, especially due to wind dispersion, which complicates locating the source of leaks during survey runs.
Innovation Solution
A system and method involving a sequence of gas leak detection survey runs using moving vehicles equipped with gas concentration measurement devices and processors to generate emission rate indicators, allowing for geospatially-referenced location analysis and comparison of emission rate changes to determine the source of leaks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a gas leak detection instrument is mounted on a moving vehicle to cover more ground, then the survey speed and area coverage are improved, but the ability to locate the gas leak source accurately deteriorates
Solution Approach 1:
The survey path is divided into multiple discrete measurement points along the vehicle trajectory. Gas concentration measurements are taken at each segment point, and the data from these segmented measurements are processed to identify the leak source location, enabling accurate localization while maintaining vehicle-speed survey capability
Solution Approach 2:
The system provides real-time feedback by continuously processing gas concentration measurements and generating leak probability indicators during the vehicle survey. This feedback mechanism allows operators to immediately identify areas of concern and adjust the survey focus, maintaining both speed and accuracy
2Measurement precision
If engineers walk slowly and scan the area in all directions to locate the gas leak source, then the leak source detection accuracy is improved, but the time required for detection increases significantly
Solution Approach 1:
The system performs preliminary scanning at vehicle speed to identify potential leak areas before focusing detailed detection efforts. By pre-identifying regions with abnormal gas concentrations during the fast vehicle survey, the system eliminates the need for comprehensive slow scanning in all directions, significantly reducing total detection time while maintaining accuracy
Solution Approach 2:
The survey approach transitions from static slow scanning to dynamic vehicle-based measurement. The system adapts the detection strategy by processing measurements taken during vehicle motion, using algorithms that can accurately determine leak sources from dynamic, moving-platform data rather than requiring stationary slow scanning
3Productivity
If gas concentration measurements are taken during vehicle movement, then the survey efficiency is improved, but the measurement reliability deteriorates due to wind dispersion
Solution Approach 1:
The system introduces wind speed and wind direction measurements as intermediary parameters to mediate between the vehicle motion and gas concentration readings. By incorporating meteorological data into the analysis, the system compensates for wind dispersion effects, allowing reliable leak source identification from measurements taken during vehicle movement
Solution Approach 2:
The system changes the analytical parameters by considering not only gas concentration but also wind speed, wind direction, and vehicle position. This multi-parameter approach transforms the raw concentration measurements into reliable leak source identification by accounting for environmental factors that affect gas plume dispersion during vehicle-based surveys
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
This approach enables efficient and reliable localization of gas leaks by accounting for wind dispersion and providing real-time indicators for operators, significantly improving the accuracy and speed of leak detection.
Implementation Method 1
The apparatus is arranged such that natural gas intercepts a beam path and absorbs representative wavelengths of a light beam. A receiver section receives a portion of the light beam onto an electro-optical etalon for detecting the gas.
Data Source
AI summary
In some embodiments, computer-implemented systems/methods detect and/or quantify changes in emission rates of gas emission sources (e.g. natural gas leaks originating from underground distribution pipelines) using data from multiple vehicle-based measurement runs. Exemplary described methods aim to address the observation that large (e.g. 10×) changes in gas concentrations away from a source may be observed even in the absence of significant changes in source emission rate, due to changes in wind or other atmospheric conditions and local spatial variations in gas concentrations. Described methods are useful for identifying large increases in the emission rate(s) of known sources, for example due to frost heave or other dislocations. Multiple runs are performed along the same survey path in closely-related conditions (e.g. same time of day, same lanes), and a statistical test (e.g. a Kolmogorov-Smirnov test) is used to identify changes in concentration reflecting changes in emission rates.