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Technical Note: Detection of Gas Bubble Leakage Via Correlation of Water Column Multibeam Images : Volume 8, Issue 2 (14/03/2012)

By Schneider Von Deimling, J.

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Book Id: WPLBN0004020568
Format Type: PDF Article :
File Size: Pages 7
Reproduction Date: 2015

Title: Technical Note: Detection of Gas Bubble Leakage Via Correlation of Water Column Multibeam Images : Volume 8, Issue 2 (14/03/2012)  
Author: Schneider Von Deimling, J.
Volume: Vol. 8, Issue 2
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Papenberg, C., & Von Deimling, J. S. (2012). Technical Note: Detection of Gas Bubble Leakage Via Correlation of Water Column Multibeam Images : Volume 8, Issue 2 (14/03/2012). Retrieved from

Description: Leibniz Institute for Baltic Sea Research, Rostock, Germany. Hydroacoustic detection of natural gas release from the seafloor has been conducted in the past by using singlebeam echosounders. In contrast, modern multibeam swath mapping systems allow much wider coverage, higher resolution, and offer 3-D spatial correlation. Up to the present, the extremely high data rate hampers water column backscatter investigations and more sophisticated visualization and processing techniques are needed. Here, we present water column backscatter data acquired with a 50 kHz prototype multibeam system over a period of 75 seconds. Display types are of swath-images as well as of a re-sorted singlebeam presentation. Thus, individual and/or groups of gas bubbles rising from the 24 m deep seafloor clearly emerge in the acoustic images, making it possible to estimate rise velocities. A sophisticated processing scheme is introduced to identify those rising gas bubbles in the hydroacoustic data. We apply a cross-correlation technique adapted from particle imaging velocimetry (PIV) to the acoustic backscatter images. Temporal and spatial drift patterns of the bubbles are assessed and are shown to match very well to measured and theoretical rise patterns. The application of this processing to our field data gives clear results with respect to unambiguous bubble detection and remote bubble rise velocimetry. The method can identify and exclude the main source of misinterpretations, i.e. fish-mediated echoes. Although image-based cross-correlation techniques are well known in the field of fluid mechanics for high resolution and non-inversive current flow field analysis, we present the first application of this technique as an acoustic bubble detector.

Technical Note: Detection of gas bubble leakage via correlation of water column multibeam images

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