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Passive acoustic localisation of undersea gas seeps using beamforming

Passive acoustic localisation of undersea gas seeps using beamforming
Passive acoustic localisation of undersea gas seeps using beamforming
Passive acoustics has been identified as an important strategy to determine underwater gas flux at natural sites, or at locations related to anthropogenic activities. The ability of an acoustic system to detect, quantify and locate a gas leak is fundamentally controlled by the Signal to Noise Ratio (SNR) of the bubble sounds relative to the ambient noise. This work considers the use of beamforming methods to enhance the SNR and so improve the performance of passive acoustic systems. In this work we propose a focused beamforming technique to localise the gas seeps. To achieve high levels of noise reduction an adaptive beamformer is employed, specifically the minimum variance distortionless response (MVDR) beamformer. The technique is demonstrated using an array of five hydrophones collecting data at the controlled CO2 gas release experiment conducted as part of STEMM-CCS (Strategies for Environmental Monitoring of Marine Carbon Capture and Storage) project. The experimental results show that the adaptive beamformer outperforms the conventional (delay and sum) beamformer in undersea bubble localisation. Furthermore, the results with a pair of hydrophone arrays show an improvement of the localisation compared to the use of one hydrophone array.
Beamforming, Underwater acoustics, Greenhouse gas, CO2, Bubble, Marine Carbon Capture and Storage, CCS
1750-5836
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Bull, Jonathan
974037fd-544b-458f-98cc-ce8eca89e3c8
Leighton, Timothy
3e5262ce-1d7d-42eb-b013-fcc5c286bbae
Roche, Ben
2746ee9e-1b87-4d2f-b4e1-dcdc0ca7a719
Davis, John
7f762b01-375b-42c8-80cb-65baefffdb97
Li, Jianghui
9c589194-00fa-4d42-abaf-53a32789cc5e
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Bull, Jonathan
974037fd-544b-458f-98cc-ce8eca89e3c8
Leighton, Timothy
3e5262ce-1d7d-42eb-b013-fcc5c286bbae
Roche, Ben
2746ee9e-1b87-4d2f-b4e1-dcdc0ca7a719
Davis, John
7f762b01-375b-42c8-80cb-65baefffdb97

Li, Jianghui, White, Paul, Bull, Jonathan, Leighton, Timothy, Roche, Ben and Davis, John (2021) Passive acoustic localisation of undersea gas seeps using beamforming. International Journal of Greenhouse Gas Control. (doi:10.1016/j.ijggc.2021.103316).

Record type: Article

Abstract

Passive acoustics has been identified as an important strategy to determine underwater gas flux at natural sites, or at locations related to anthropogenic activities. The ability of an acoustic system to detect, quantify and locate a gas leak is fundamentally controlled by the Signal to Noise Ratio (SNR) of the bubble sounds relative to the ambient noise. This work considers the use of beamforming methods to enhance the SNR and so improve the performance of passive acoustic systems. In this work we propose a focused beamforming technique to localise the gas seeps. To achieve high levels of noise reduction an adaptive beamformer is employed, specifically the minimum variance distortionless response (MVDR) beamformer. The technique is demonstrated using an array of five hydrophones collecting data at the controlled CO2 gas release experiment conducted as part of STEMM-CCS (Strategies for Environmental Monitoring of Marine Carbon Capture and Storage) project. The experimental results show that the adaptive beamformer outperforms the conventional (delay and sum) beamformer in undersea bubble localisation. Furthermore, the results with a pair of hydrophone arrays show an improvement of the localisation compared to the use of one hydrophone array.

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BubbleLocalizationNomark - Accepted Manuscript
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More information

Accepted/In Press date: 23 March 2021
e-pub ahead of print date: 1 April 2021
Keywords: Beamforming, Underwater acoustics, Greenhouse gas, CO2, Bubble, Marine Carbon Capture and Storage, CCS

Identifiers

Local EPrints ID: 449826
URI: http://eprints.soton.ac.uk/id/eprint/449826
ISSN: 1750-5836
PURE UUID: 70c75a19-fcb0-43c5-a30b-693e002d9ee4
ORCID for Jianghui Li: ORCID iD orcid.org/0000-0002-2956-5940
ORCID for Paul White: ORCID iD orcid.org/0000-0002-4787-8713
ORCID for Timothy Leighton: ORCID iD orcid.org/0000-0002-1649-8750

Catalogue record

Date deposited: 18 Jun 2021 16:31
Last modified: 19 Jun 2021 01:51

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