2:45 PM - 3:00 PM
[HSC08-05] Acoustic sonar detectability of gas bubbles from seafloor for environmental monitoring at offshore CO2 storage sites
Keywords:offshore environmental monitoring, offshore CO2 geological storage, acoustic sonar, leakage detection
For offshore environmental monitoring, acoustic methods were expected that could direct detection of CO2 bubbles in the seawater. It was described that effectiveness of acoustic methods for seafloor and water column monitoring in IEAGHG special report (IEAGHG, 2012). In practice, it was used in seafloor survey of several offshore geological CO2 storage projects. For example, in Sleipner, side scan sonar (SSS) and multibeam echo sounder systems (MBES) were used for seafloor observations on storage site (www.eco2-project.eu). In QICS project (Blackford et al., 2014) that CO2 controlled release experiment from shallow seafloor, clearly images of both gas plume within the water column and pockmarks on the seafloor obtained using MBES (Cevatoglu et al., 2015). Furthermore, gas flux quantification using hydrophone, passive acoustic method was shown (Bergès et al., 2015). However, there were no data about flow rates of released CO2 and MBES image data was used as check the location of releasing point. Detectability of acoustic methods was unclear.
This paper focuses specifically on the detectability of active acoustic method. Controlled compressed air release experiments were carried out in shallow inner bay at the depth of 5 to 6 m. Observations using active acoustic instruments such as multibeam sonar (MBS) and SSS were deployed to assess its detectability for gas bubbles stream.Analysis of the image acquired by active acoustic instruments led to the following conclusions:
·Images of MBS data could detect gas bubbles stream. The survey using MBS have the potential to be effective method for localization of leakage point in narrow area.
·Images of SSS data could detect gas bubbles stream. Images of SSS data showed high detectability of gas bubbles stream The survey using SSS have the potential to be effective method for detection of CO2 leakage and localization of leakage point.
·Image processing and analyzing of SSS data, the quantification data of gas bubbles stream were obtained. Flow rates from any image data could estimate within order of magnitude, with relative high quantification accuracy.
·The survey using SSS have the potential to be effective method for not only leakage detection but also leakage scale grasp. The broad seafloor survey using active acoustic instruments such as SSS is crucial point of efficient leakage detection and localization.
Bergès, B.J.P., Leighton, T.G., White P.R. (2015) Passive acoustic quantification of gas fluxes during contlloed gas release experiments. Int. J. Greenh. Gas Cont. 38, 64-79.
Blackford, J., Stahl, H., Bull, J.M., et al. (2014) Detection and impacts of leakage from sub-seafloor deep geological carbon dioxide storage. Nat. Clim. Chang. 4, 1011–1016.
Cevatoglu, M., Bull, J.M., et al. (2015) Gas migration pathways, controlling mechanisms and changes in sediment acoustic properties observed in a controlled sub-seabed CO2 release experiment. Int. J. Greenh. Gas Cont.38, 26-43.
IEAGHG. (2012) Quantification Techniques for CO2 Leakage. Report. 2012/02.