Data Processing using Anisotropic Analysis for the Long-offset Marine Seismic Data of the East Sea, Korea

被引:0
|
作者
Joo, Yonghwan [1 ]
Kim, Byoung-yeop [1 ]
机构
[1] Korea Inst Geosci & Mineral Resources, Petr & Marine Div, Daejeon, South Korea
来源
关键词
marine seismic survey; seismic anisotropy; long-offset data; data processing;
D O I
10.7582/GGE.2020.23.1.013
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
The acquisition and processing of long-offset data are essential for imaging deep geological structures in marine seismic surveys. It is challenging to derive an accurate subsurface image by employing conventional data processing to long-offset data owing to the normal moveout (NMO) stretch and non-hyperbolic moveout phenomena induced by seismic anisotropy. In 2017, the Korea Institute of Geoscience and Mineral Resources conducted a simultaneous two-dimensional multichannel streamer and ocean-bottom seismic survey using a 5.7-km streamer and an ocean-bottom seismometer to identify the deep geological structure of the Ulleung Basin. Herein, the actual geological subsurface structure was obtained via the sequential iterative updating of the velocity and anisotropic parameters of the long-offset data obtained using a multichannel streamer, and anisotropic prestack Kirchhoff migration was performed using the updated velocity and anisotropic parameters as input parameters. As a result, the reflection energy in the long-offset traces, which showed non-hyperbolic moveout owing to seismic anisotropy, was well aligned horizontally and NMO stretches were also reduced. Thus, a more precise and accurate migrated image was obtained, minimizing the distortion of reflectors and mispositioned reflection energy.
引用
收藏
页码:13 / 21
页数:9
相关论文
共 50 条
  • [21] Optimized nonhyperbolic moveout correction equation of long-offset seismic data for TI media with an arbitrary spatial orientation
    Hao Chong-Tao
    Yao Chen
    Zhang Jian-Zhong
    [J]. APPLIED GEOPHYSICS, 2010, 7 (04) : 336 - 347
  • [22] AVO examples of long-offset 2-D data in the Gulf of Mexico
    Hilterman Fred
    Van Schuyver Connie
    Sbar Marc
    [J]. The Leading Edge, 2000, 19 (11) : 1200,1202 - 1203,1206,1208
  • [23] Deep exploration using long-offset transient electromagnetics: interpretation of field data in time and frequency domain
    Moerbe, Wiebke
    Yogeshwar, Pritam
    Tezkan, Buelent
    Hanstein, Tilman
    [J]. GEOPHYSICAL PROSPECTING, 2020, 68 (06) : 1980 - 1998
  • [24] Automation of marine seismic data processing
    Long A.
    Martin T.
    [J]. 1600, Society of Exploration Geophysicists (39): : 264 - 271
  • [25] Near offset reconstruction for marine seismic data using a convolutional neural network
    Huff, Owen Rohwer
    Thorkildsen, Vemund Stenbekk
    Greiner, Thomas Larsen
    Lie, Jan Erik
    Evensen, Andreas Kjelsrud
    Bugge, Aina Juell
    Faleide, Jan Inge
    [J]. GEOPHYSICAL PROSPECTING, 2024, 72 (06) : 2164 - 2185
  • [26] Reconstruction of the near-offset gap in marine seismic data using seismic interferometric interpolation
    Xu, Zhuo
    Sopher, Daniel
    Juhlin, Christopher
    Han, Liguo
    [J]. GEOPHYSICAL PROSPECTING, 2018, 66 : 1 - 26
  • [27] Seismic data processing approaches for the study of gas hydrates in the east China sea
    Liu Huaishan
    Zhou Zhengyun
    [J]. Journal of Ocean University of Qingdao, 2002, 1 (1) : 87 - 92
  • [29] PROCESSING OF ZERO OFFSET VERTICAL SEISMIC PROFILE DATA
    TARIEL, P
    MICHON, D
    NAVILLE, C
    OMNES, G
    [J]. GEOPHYSICS, 1983, 48 (04) : 434 - 435
  • [30] Seismic Data Processing Suited for Stratigraphic Interpretation in the Domi Basin, South Sea, Korea
    Cheong, Snons
    Kim, Wonsik
    Koo, Namhyung
    Lee, Hoyoung
    Shin, Wonchul
    Park, KeunPil
    [J]. ECONOMIC AND ENVIRONMENTAL GEOLOGY, 2010, 43 (06): : 603 - 613