Modelling and detection of submarine bubble plumes using seismic oceanography

Chen, Jiangxin; Tong, Siyou; Han, Tonggang; Song, Haibin; Pinheiro, Luís Menezes; Xu, Huaning; Azevedo, Leonardo; Duan, Minliang; Liu, Bin

doi:10.1016/j.jmarsys.2020.103375

Cited by 12 publications

(8 citation statements)

References 27 publications

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“…Among them, plume B is located directly above the pipe structure. It has a lateral scale of about 30 m and a vertical scale of about 630 m. Though theoretically this plume may be detected by the seismic method [23,24], we do not observe such an image of plume from a previous work [41]. This could be attributed to the different acquisition times of MB data (in 2016) and seismic data (in 2007) when the intermittent of the gas venting is considered.…”

Section: Geological Background and Previous Workcontrasting

confidence: 60%

“…Multichannel seismic method can provide not only the image of internal structure but also the image of the water column above, which could help to detect the fluid process associated with the pipe structure. For instance, according to numerical studies, seismic waves could be influenced by gas plumes and it is possible to detect gas plumes by using seismic waves [23,24]. Recently, the controlled source electromagnetic (CSEM) method has been used to study the internal structure in several sites around the world, such as at the Vestnesa Ridge [25], in the western Svalbard continental slope [26], and off Norway [27].…”

Section: Introductionmentioning

confidence: 99%

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Seismic Diffraction Analysis of a Fluid Escape Pipe beneath the Submarine Gas Bubble Plume in the Haima Cold Seep Area

Liu

Chen

et al. 2021

Geofluids

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Pipe structures are considered as fluid conduits beneath cold seeps. These structures have been observed in many geological settings and are widely accepted as the most critical pathway for fluid migration. One of such pipe structures in the Haima cold seep region is investigated herein. The pipe structure extends from below the BSR and reaches the seafloor. It is characterized by a string of events with short and strong seismic amplitudes, similar to the string of bead reflections (SBRs) associated with small-scale caves in carbonate reservoirs. This leads to the hypothesis that multiple small-scale bodies exist within the pipe structure. We test this hypothesis by analysis of diffraction waves and numerical seismic modeling. Travel time pattern analysis indicates that the diffractors within the pipe structure caused the rich diffraction waves on the shot records, and the reversed polarity indicates that the diffractors have a lower impedance than the surrounding sediments. These low-impedance bodies are interpreted as gas pockets within the pipe structures. Based on these interpretations, a conceptual model is proposed to describe the fluid migration process within the pipe. Briefly, we propose that gas pockets within the pipe structure could be analogue to the magma chambers located beneath volcanoes and this may provide a new insight into how gases migrate through the pipe structure and reach the seafloor.

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Section: Geological Background and Previous Workcontrasting

confidence: 60%

Section: Introductionmentioning

confidence: 99%

Seismic Diffraction Analysis of a Fluid Escape Pipe beneath the Submarine Gas Bubble Plume in the Haima Cold Seep Area

Liu

Chen

et al. 2021

Geofluids

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“…At present, common marine sensor detection techniques mainly include the magnetic detection method, optical imaging method, acoustic imaging method, and artificial detection method [32]. As shown in table 2, the artificial exploration method is challenging to obtain effective security guarantees in the deeper marine environment and is gradually replaced by the other three methods [33].…”

Section: Pipeline Detection Toolsmentioning

confidence: 99%

Sonar image intelligent processing in seabed pipeline detection: review and application

Shi,

Cao,

et al. 2024

Meas. Sci. Technol.

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Subsea pipelines rely primarily on imaging sonar for detection and identification. We analyze the imaging principles of side scan sonar, multi-beam sonar, synthetic aperture sonar, seafloor penetrating sonar and forward-looking sonar. We discuss their effectiveness in detecting seabed pipelines, as well as their limitations in image recognition capabilities. As intelligent algorithms have become increasingly important in the field of image processing, we review the sonar image intelligent detection and recognition algorithms in the past six years and summarize the internal principles and application effects of classic algorithms such as SIFT (Scale-Invariant Feature Transform), KMA (K-means algorithm), and CFAR (Constant False-Alarm Rate) that currently show good application prospects. Simultaneously, we review the particular strengths exhibited by these algorithms, such as contour feature extraction, image segmentation and clustering, target recognition under background noise, etc. The research on intelligent processing of sonar images opens up a new way to solve the difficult problem of the seabed targets detection and recognition.

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“…The seismic images of submarine dynamic processes are of considerable significance, but identified phenomena have been simply analyzed and interpreted from a qualitative perspective, without detailed quantitative modeling to study the origin of the seismic response and the dynamic processes. Nevertheless, the relevant preliminary results have demonstrated that statistical models and numerical simulation can be jointly applied in the quantitative calculation of seismic oceanography (Huang et al, 2018;Chen et al, 2020). However, the currently available work, related to this topic, does not compare the results of the numerical simulation with field seismic data.…”

Section: Introductionmentioning

confidence: 99%

Research on the fluid dynamics interaction between submarine sand waves and seawater by seismic oceanography

Han

Chen

et al. 2023

Front. Mar. Sci.

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IntroductionThe seafloor is an important interface between the lithosphere and the hydrosphere, where processes related to circulation and energy exchange happen along with various marine processes widely developed in the water column near the seafloor. These processes are still not yet completely understood as there are constraints of submarine detection technology and the interdisciplinary nature of these complex environments. Seismic reflection data have been a preferable tool to study and image these processes due to their characteristics in terms of spatial resolution. In seismic reflection data, submarine sand waves show hair-like reflection configurations with low continuity and wearing-hair style, appearing with an angle with the seafloor. Investigation of the relationship between the characteristics of submarine sand waves induced hair-like reflection configuration and hydrodynamics is crucial for understanding hair-like reflection configuration generation and spatiotemporal evolution. MethodsThis study combines fluid dynamics numerical simulation and seismic oceanography to discuss the seismic response characteristics and formation mechanisms of the hair-like reflection configuration. First, we create a seawater time-variant fluid-dynamical model followed by the numerical simulation of seismic oceanography data. This procedure results in seismic oceanography numerical simulation sections with hair-like reflection configurations for different constant flow conditions forced on the boundary. Optimal matching method is then applied to interpret field seismic reflection sections given the results obtained with the numerical experiments. Results and discussionAs consequence, the fluid dynamic explanation for the formation mechanism of the hair-like reflection configuration due to differences in seawater thermohaline is proposed. The study provides additional comprehension and further insights into the dynamic process of submarine sand waves induced hair-like reflection configuration using the seismic oceanography method.

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Modelling and detection of submarine bubble plumes using seismic oceanography

Cited by 12 publications

References 27 publications

Seismic Diffraction Analysis of a Fluid Escape Pipe beneath the Submarine Gas Bubble Plume in the Haima Cold Seep Area

Seismic Diffraction Analysis of a Fluid Escape Pipe beneath the Submarine Gas Bubble Plume in the Haima Cold Seep Area

Sonar image intelligent processing in seabed pipeline detection: review and application

Research on the fluid dynamics interaction between submarine sand waves and seawater by seismic oceanography

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