Benthic megafauna and CO 2 bubble dynamics observed by underwater photography during a controlled sub-seabed release of CO 2

Kita, Jun; Ståhl, Henrik; Hayashi, Masatoshi; Green, Tammy; Watanabe, Yuji; Widdicombe, Stephen

doi:10.1016/j.ijggc.2014.11.012

Cited by 23 publications

(4 citation statements)

References 31 publications

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“…Over the course of 37 days, 4200 kg of CO 2 gas was injected into the seabed sediments (Taylor P. et al, 2014). Changes in benthic processes and characteristics (Lichtschlag et al, 2014;Taylor P. et al, 2014b); behaviour of macrofauna species (Kita et al, 2014); and microbial response (Tait et al, 2014) were examined. These parameters were compared between the release site and a reference site some 450 m distant from the CO 2 release point, and unaffected by the released CO 2 (Lichtschlag et al, 2014) and studied for up to a year after the initial release of CO 2 (Taylor P. et al, 2014b).…”

Section: Environmental Impacts Of Ccs -A Case Studymentioning

confidence: 99%

Reviews and synthesis: Carbon capture and storage monitoring – an integrated biological, biophysical and chemical approach

Hicks

Vik

Taylor

et al. 2015

Preprint

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Abstract. Carbon capture and storage (CCS) is a developing technology that seeks to mitigate against the impact of increasing anthropogenic carbon dioxide (CO2) production by capturing CO2 from large point source emitters. After capture the CO2 is compressed and transported to a reservoir where it is stored for geological time scales. Potential leakages from CCS projects, where stored CO2 migrates through the overlaying sediments, are likely to have severe implications on benthic and marine ecosystems. Nonetheless, prokaryotic response to elevated CO2 concentrations has been suggested as one of the first detectable warnings if a CO2 leakage should occur. Applying properties of prokaryotic communities (i.e. community composition and metabolic status) as a novel CO2 monitoring application is highly reliable within a multidisciplinary framework, where deviations from the baseline can easily be identified. In this paper we review current knowledge about the impact of CO2 leakages on marine sediments from a multidisciplinary-based monitoring perspective. We focus on aspects from the fields of biology, geophysics, and chemistry, and discuss a case study example. We argue the importance of an integrative multidisciplinary approach, incorporating biogeochemistry, geophysics, microbial ecology and modelling, with a particular emphasis on metagenomic techniques and novel bioinformatics, for future CCS monitoring. Within this framework, we consider that an effective CCS monitoring programme will ensure that large-scale leakages with potentially devastating effects for the overlaying ecosystem are avoided. Furthermore, the multidisciplinary approach suggested here for CCS monitoring is generic, and can be adapted to other systems of interest.

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Section: Environmental Impacts Of Ccs -A Case Studymentioning

confidence: 99%

Reviews and synthesis: Carbon capture and storage monitoring – an integrated biological, biophysical and chemical approach

Hicks

Vik

Taylor

et al. 2015

Preprint

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“…On the other hand, a large amount of CO 2 gas has been injected and stored in the appropriate geological reservoirs of the subsea. Due to injection facility failure and seal failure, there exists a certain risk of CO 2 gas leaks in deep subsea that would inevitably destroy the marine ecosystem [9][10][11][12]. Consequently, subsea oil and gas leakage is gradually a safety problem for the offshore oil and gas industry and creates an environmental problem for the global climate and marine ecosystem.…”

Section: Introductionmentioning

confidence: 99%

Advanced Computer Vision-Based Subsea Gas Leaks Monitoring: A Comparison of Two Approaches

Zhu

Xie

et al. 2023

Sensors

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Recent years have witnessed the increasing risk of subsea gas leaks with the development of offshore gas exploration, which poses a potential threat to human life, corporate assets, and the environment. The optical imaging-based monitoring approach has become widespread in the field of monitoring underwater gas leakage, but the shortcomings of huge labor costs and severe false alarms exist due to related operators’ operation and judgment. This study aimed to develop an advanced computer vision-based monitoring approach to achieve automatic and real-time monitoring of underwater gas leaks. A comparison analysis between the Faster Region Convolutional Neural Network (Faster R-CNN) and You Only Look Once version 4 (YOLOv4) was conducted. The results demonstrated that the Faster R-CNN model, developed with an image size of 1280 × 720 and no noise, was optimal for the automatic and real-time monitoring of underwater gas leakage. This optimal model could accurately classify small and large-shape leakage gas plumes from real-world datasets, and locate the area of these underwater gas plumes.

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“…The risk management of the marine CCS strategies requires monitoring of the storage site to ensure its integrity Loewen and Melville (1991); Leighton and White (2011); Blackford et al (2015); Mabon et al (2014); Hvidevold et al (2016); Berges et al (2015); Atamanchuk et al (2015); Taylor et al (2015); Cevatoglu et al (2015); Shitashima et al (2015); Kolster et al (2018); Stork et al (2018); Kita et al (2015).…”

Section: Introductionmentioning

confidence: 99%

Passive acoustic localisation of undersea gas seeps using beamforming

White

Bull

et al. 2021

International Journal of Greenhouse Gas Control

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Benthic megafauna and CO 2 bubble dynamics observed by underwater photography during a controlled sub-seabed release of CO 2

Cited by 23 publications

References 31 publications

Reviews and synthesis: Carbon capture and storage monitoring – an integrated biological, biophysical and chemical approach

Reviews and synthesis: Carbon capture and storage monitoring – an integrated biological, biophysical and chemical approach

Advanced Computer Vision-Based Subsea Gas Leaks Monitoring: A Comparison of Two Approaches

Passive acoustic localisation of undersea gas seeps using beamforming

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