Passive acoustic monitoring of a natural CO2 seep site – Implications for carbon capture and storage. (February 2020)

• Record Type: Journal Article
• Authors: Li, Jianghui; Roche, Ben; Bull, Jonathan M.; White, Paul R.; Davis, John W.; Deponte, Michele; Gordini, Emiliano; Cotterle, Diego
• Is Part Of: International journal of greenhouse gas control. Volume 93(2020)
• Publication Date: 2020-02
• Subjects: Bubble transect -- Underwater acoustics -- Multipath -- Greenhouse gas -- Marine carbon capture and storage; Greenhouse gases -- Environmental aspects -- Periodicals; Air -- Purification -- Technological innovations -- Periodicals; Gaz à effet de serre -- Périodiques; Gaz à effet de serre -- Réduction -- Périodiques; Air -- Purification -- Technological innovations; Greenhouse gases -- Environmental aspects; Periodicals; 363.73874605
• DOI: 10.1016/j.ijggc.2019.102899
• Languages: English
• ISSNs: 1750-5836

Abstract

Highlights: Passive acoustics detected and quantified offshore natural CO2 emissions. Method was developed to quantify gas flux and derive bubble sizes. CO2 bubble plume emitting gas at 2.3 L/min was detected up to distances of 8 m. Quantification of CO2 was possible using a hydrophone at distances of up to 4 m. The bubble signal needs to be 10 dB above ambient noise levels. Abstract: Estimating the range at which an acoustic receiver can detect greenhouse gas (e.g., CO2 ) leakage from the sub-seabed is essential for determining whether passive acoustic techniques can be an effective environmental monitoring tool above marine carbon storage sites. Here we report results from a shallow water experiment completed offshore the island of Panarea, Sicily, at a natural CO2 vent site, where the ability of passive acoustics to detect and quantify gas flux was determined at different distances. Cross-correlation methods determined the time of arrival for different travel paths which were confirmed by acoustic modelling. We develop an approach to quantify vent bubble size and gas flux. Inversion of the acoustic data was completed using the modelled impulse response to provide equivalent propagation ranges rather than physical ranges. The results show that our approach is capable of detecting a CO2 bubble plume with a gas flux rate of 2.3 L/min at ranges of up to 8 m, and determining gas flux and bubble size accurately at ranges of up to 4 m in shallow water, where the bubble sound pressure is 10 dB above that of the ambient noise.