Plane-wave least-squares reverse time migration for rugged topography

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• 作者：Jianping Huang ; Chuang Li ; Rongrong Wang ; Qingyang Li
• 关键词：least ; squares migration ; rugged topography ; plane ; wave encoding ; dynamic encoding ; hybrid encoding
• 刊名：Journal of Earth Science
• 出版年：2015
• 出版时间：August 2015
• 年：2015
• 卷：26
• 期：4
• 页码：471-480
• 全文大小：2,044 KB
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• 作者单位：Jianping Huang (1)
  Chuang Li (1)
  Rongrong Wang (2)
  Qingyang Li (1)
  
  1. School of Geosciences, China University of Petroleum (East China), Qingdao, 266580, China
  2. College of Information and Control Engineering, China University of Petroleum (East China), Qingdao, 266580, China
  
• 刊物主题：Earth Sciences, general; Geotechnical Engineering & Applied Earth Sciences; Biogeosciences; Geochemistry; Geology;
• 出版者：Springer Berlin Heidelberg
• ISSN：1867-111X

文摘

We present a method based on least-squares reverse time migration with plane-wave encoding (P-LSRTM) for rugged topography. Instead of modifying the wave field before migration, we modify the plane-wave encoding function and fill constant velocity to the area above rugged topography in the model so that P-LSRTM can be directly performed from rugged surface in the way same to shot domain reverse time migration. In order to improve efficiency and reduce I/O (input/output) cost, the dynamic encoding strategy and hybrid encoding strategy are implemented. Numerical test on SEG rugged topography model show that P-LSRTM can suppress migration artifacts in the migration image, and compensate amplitude in the middle-deep part efficiently. Without data correction, P-LSRTM can produce a satisfying image of near-surface if we could get an accurate near-surface velocity model. Moreover, the pre-stack PLSRTM is more robust than conventional RTM in the presence of migration velocity errors.