Study of Imaging of Submarine Bubble Plume with Reverse Time Migration

被引:0
作者
Lee, Dawoon [1 ]
Chung, Wookeen [1 ]
Kim, Won-Ki [2 ]
Bae, Ho Seuk [2 ]
机构
[1] Korea Maritime & Ocean Univ, Dept Ocean Energy & Resources Engn, Busan, South Korea
[2] Agcy Def Dev, Chang Won, South Korea
来源
GEOPHYSICS AND GEOPHYSICAL EXPLORATION | 2023年 / 26卷 / 01期
关键词
Submarine bubble plume; Seismic imaging; Reverse time migration; Envelope signal; Water tank experiments;
D O I
10.7582/GGE.2023.26.1.008
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Various sources, such as wind, waves, ships, and gas leaks from the seafloor, forms bubbles in the ocean. Underwater bubbles cause signal scattering, considerably affecting acoustic measurements. This characteristic of bubbles is used to block underwater noise by attenuating the intensity of the propagated signal. Recently, researchers have been studying the large-scale release of methane gas as bubble plumes from the seabed. Understanding the physical properties and distribution of bubble plumes is crucial for studying the relation between leaked methane gas and climate change. Therefore, a water tank experiment was conducted to estimate the distribution of bubble plumes using seismic imaging techniques and acoustic signals obtained from artificially generated bubbles using a bubble generator. Reverse time migration was applied to image the bubble plumes while the acquired acoustic envelope signal was used to effectively estimate bubble distribution. Imaging results were compared with optical camera images to verify the estimated bubble distribution. The water tank experiment confirmed that the proposed system could successfully image the distribution of bubble plumes using reverse time migration and the envelope signal. The experiment showed that the scattering signal of artificial bubble plumes can be used for seismic imaging.
引用
收藏
页码:8 / 17
页数:10
相关论文
共 50 条
  • [21] A modified excitation amplitude imaging condition for prestack reverse time migration
    Gu, Bingluo
    Liu, Youshan
    Ma, Xiaona
    Li, Zhiyuan
    Liang, Guanghe
    EXPLORATION GEOPHYSICS, 2015, 46 (04) : 359 - 370
  • [22] Reverse time migration based on normalized wavefield decomposition imaging condition
    YU Jianglong
    HAN Liguo
    ZHOU Yan
    ZHANG Yongsheng
    GlobalGeology, 2016, 19 (02) : 95 - 101
  • [23] Ambient Noise Surface Wave Reverse Time Migration for Fault Imaging
    Li, Haipeng
    Li, Junlun
    Gu, Ning
    Gao, Ji
    Zhang, Haijiang
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2020, 125 (12)
  • [24] Multi-Level Parallel Computing of Reverse Time Migration for Seismic Imaging on Blue Gene/Q
    Lu, Ligang
    Magerlein, Karen
    ACM SIGPLAN NOTICES, 2013, 48 (08) : 291 - 292
  • [25] Passive multiple reverse time migration imaging based on wave decomposition and normalized imaging conditions
    Zhong-Zheng Cai
    Li-Guo Han
    Zhuo Xu
    Applied Geophysics, 2019, 16 : 338 - 348
  • [26] Q-compensated viscoelastic reverse time migration in crosswell seismic imaging
    Pan, Yue
    He, Xiao
    Yang, Jixin
    Wang, Xiuming
    JOURNAL OF GEOPHYSICS AND ENGINEERING, 2022, 19 (03) : 295 - 315
  • [27] Passive multiple reverse time migration imaging based on wave decomposition and normalized imaging conditions
    Cai, Zhong-Zheng
    Han, Li-Guo
    Xu, Zhuo
    APPLIED GEOPHYSICS, 2019, 16 (03) : 338 - 348
  • [28] An efficient illumination compensation imaging method based on reverse-time migration
    Zhou Yang
    Cao JunXing
    Wang XingJian
    Hu JiangTao
    Wang HuaZhong
    Liu WenQing
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2021, 64 (09): : 3270 - 3282
  • [29] Crosswell frequency-domain reverse time migration imaging with wavefield decomposition
    Yang, Jixin
    He, Xiao
    Chen, Hao
    JOURNAL OF GEOPHYSICS AND ENGINEERING, 2023, 20 (06) : 1279 - 1290
  • [30] APPLICATION OF THE REVERSE TIME MIGRATION METHOD TO ULTRASONIC NONDESTRUCTIVE IMAGING FOR ANISOTROPIC MATERIALS
    Mizota, Hirohisa
    Amano, Yuui
    Nakahata, Kazuyuki
    MATERIALS EVALUATION, 2022, 80 (07) : 28 - 37