Underwater gas-leak detection and imaging using ultrasonic scanning: Laboratory results

Wang, Jiannan; Stewart, Robert R.; Dyaur, Nikolay

doi:10.1190/segam2017-17775898.1

Cited by 1 publication

(2 citation statements)

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“…One is the free rising velocity of the gas bubbles, and the other is the initial velocity when they were ejected at the nozzle. Considering these contributions, the authors of [38] used Doppler shifts of ultrasonic scanning to estimate the leaking gases simulated in the laboratory; the estimated velocity is 3.2-9.7 m/s, which is similar to the results of Figure 9. The echo intensities at different flow rates are further measured and are shown in Figure 10.…”

Section: Optical Flow Calculation Of the Water Column Images (Wcis) Csupporting

confidence: 67%

“…However, this difference does not change the nature of the relatively high-speed movement of the gas emissions from the pipelines, and thus it will not affect the subsequent detection of gas emissions. For leaking gases from undersea pipelines, the velocities of bubbles in water columns were composed of two parts [38]. One is the free rising velocity of the gas bubbles, and the other is the initial velocity when they were ejected at the nozzle.…”

Section: Optical Flow Calculation Of the Water Column Images (Wcis) Cmentioning

confidence: 99%

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Optical Flow-Based Detection of Gas Leaks from Pipelines Using Multibeam Water Column Images

Zhou

et al. 2020

Remote Sensing

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In recent years, most multibeam echo sounders (MBESs) have been able to collect water column image (WCI) data while performing seabed topography measurements, providing effective data sources for gas-leakage detection. However, there can be systematic (e.g., sidelobe interference) or natural disturbances in the images, which may introduce challenges for automatic detection of gas leaks. In this paper, we design two data-processing schemes to estimate motion velocities based on the Farneback optical flow principle according to types of WCIs, including time-angle and depth-across track images. Moreover, by combining the estimated motion velocities with the amplitudes of the image pixels, several decision thresholds are used to eliminate interferences, such as the seabed, non-gas backscatters in the water column, etc. To verify the effectiveness of the proposed method, we simulated the scenarios of pipeline leakage in a pool and the Songhua Lake, Jilin Province, China, and used a HT300 PA MBES (it was developed by Harbin Engineering University and its operating frequency is 300 kHz) to collect acoustic data in static and dynamic conditions. The results show that the proposed method can automatically detect underwater leaking gases, and both data-processing schemes have similar detection performance.

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Section: Optical Flow Calculation Of the Water Column Images (Wcis) Csupporting

confidence: 67%

Section: Optical Flow Calculation Of the Water Column Images (Wcis) Cmentioning

confidence: 99%

Optical Flow-Based Detection of Gas Leaks from Pipelines Using Multibeam Water Column Images

Zhou

et al. 2020

Remote Sensing

View full text Add to dashboard Cite

show abstract

Underwater gas-leak detection and imaging using ultrasonic scanning: Laboratory results

Cited by 1 publication

References 18 publications

Optical Flow-Based Detection of Gas Leaks from Pipelines Using Multibeam Water Column Images

Optical Flow-Based Detection of Gas Leaks from Pipelines Using Multibeam Water Column Images

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