Seismic imaging of subsurface structure using tomographic migration velocity analysis: a case study of South China Sea data

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• 作者：Yibo Wang ; Jialiang Xu ; Songlei Xie ; Lele Zhang…
• 关键词：Migration velocity analysis (MVA) ; Pre ; stack Kirchhoff depth migration ; Travel ; time inversion ; Ray tracing ; Offset ; domain common image gather (ODCIG)
• 刊名：Marine Geophysical Researches
• 出版年：2015
• 出版时间：September 2015
• 年：2015
• 卷：36
• 期：2-3
• 页码：127-137
• 全文大小：8,076 KB
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• 作者单位：Yibo Wang (1)
  Jialiang Xu (1) (2)
  Songlei Xie (3)
  Lele Zhang (1) (2)
  Xiangdong Du (4)
  Xu Chang (1)
  
  1. Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, 100029, China
  2. University of Chinese Academy of Sciences, Beijing, 100049, China
  3. South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301, China
  4. China National Offshore Oil Corporation, Beijing, 100027, China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Oceanography
  Geophysics and Geodesy
  Geosciences
  Offshore Engineering
  
• 出版者：Springer Netherlands
• ISSN：1573-0581

文摘

Seismic migration algorithms are often used to reveal subsurface structures and can be roughly divided into stacking methods, pre-stack time migration methods and pre-stack depth migration methods. In theory, pre-stack depth migration methods can provide the most accurate subsurface images. However, these methods are sensitive to the accuracy of the migration velocity model, and thus the creation of a precise migration velocity model is one of the most important steps in seismic processing. We applied the tomographic travel-time inversion and the method of pre-stack Kirchhoff depth migration-based migration velocity analysis (MVA) to certain South China Sea data, in which we iteratively inverted the precise, high-resolution migration velocity model. We selected travel-time differences from the offset-domain common image gathers of the pre-stack Kirchhoff depth migration and inverted the travel-time differences for velocity updating. After several iterations, both the precise migration velocity model and the corresponding pre-stack depth migration image were obtained. The comparisons with Normal Move-out stacking and pre-stack Kirchhoff time migration confirm that the tomographic MVA and corresponding pre-stack Kirchhoff depth migration provide the best image quality and highest-resolution subsurface images from the South China Sea data.