4.7 Article

Topography-Dependent Q-Compensated Least-Squares Reverse Time Migration of Prismatic Waves

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2021.3125830

Keywords

Least-squares reverse time migration (RTM); prismatic wave; Q-compensation

Funding

  1. Seismic Wave Propagation and Imaging (SWPI) Group of the China University of Petroleum (East China), Qingdao, China
  2. National Natural Science Foundation of China [42174138, 41904101, 42074133]
  3. Natural Science Foundation of Shandong Province [ZR2019QD004]
  4. Fundamental Research Funds for the Central Universities [19CX02010A]
  5. Open Funds of the SINOPEC Key Laboratory of Geophysics [wtyjy-wx2019-01-03]
  6. Major Scientific and Technological Projects of the China National Petroleum Corporation (CNPC) [ZD2019-183-003]
  7. Yong Elite Scientists Sponsorship Program through the China Association for Science and Technology

Ask authors/readers for more resources

The translation discusses the use of prismatic waves in migration methods and the challenges faced, as well as the proposal of a Q-LSRTM-P method and its advantages. Experimental results verify the effectiveness of the proposed method.
Prismatic waves carry steeply dipping structural information that primaries cannot contain. Therefore, prismatic waves are separately used in some migration methods to improve the illumination and imaging effect on steeply dipping structures. Least-squares reverse time migration of prismatic waves (LSRTM-P) can produce high-resolution images with improved steeply dipping structures. However, viscoelasticity exists widely on the Earth, which poses great difficulty for imaging. The effect of attenuation on prismatic waves is difficult to be compensated when conducting LSRTM-P because prismatic waves have three propagation paths. To overcome this problem, a Q-compensated LSRTM (Q-LSRTM)-P method is proposed by deriving Q-compensated forward-propagated operators and backward-propagated adjoint operators of prismatic waves, which compensates for Q attenuation along all the three propagation paths of prismatic waves. The proposed Q-LSRTM-P is conducted to update the image after applying the conventional Q-LSRTM. Besides, the proposed method can be adapted to the irregular surface media. Numerical examples on two synthetic and a field datasets verify that our method can produce better imaging results with clearer steeply dipping structures, higher signal-to-noise ratio (SNR), higher resolution, and more balanced amplitude than noncompensated LSRTM-P and conventional Q-LSRTM.

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