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| Keywords | |
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simultaneous-source data |
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suppress cross-talk noise |
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structure-matching deconvolution |
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least-square migration |
| Authors | |
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ZHANG Pan |
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MAO Wei-Jian |
| PubMed | |
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Article by Zhang P |
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Article by Mao W |
Simultaneous-source data direct imaging by structure-matching deconvolution
ZHANG Pan1,2,3, MAO Wei-Jian1,2,3
1. University of Chinese Academy of Science, Beijing 100049, China;
2. State Key Laboratory of Geodesy and Earth's Dynamics, Wuhan 430077, China;
3. Institute of Geodesy and Geophysics, Chinese Academy of Geosciences, Wuhan 430077, China
A structure matching deconvolution (SMD) method for direct imaging of simultaneous-source blendeddata is studied and proposed to solve the problem of low computational efficiency of simultaneous-source data least square migration (LSM).The local inverse Hessian is obtained by dividing the image into windows, and the local structural constraint is added to the LSM process. The method can suppress the blended data imaging crosstalk noise, compensate the illumination and improve the imaging quality at the same time.The validity of the SMD method was verified in the numerical tests of the complex sigesbee2A model.The results show that SMD can effectively suppress the crosstalk noise and compensate the imaging amplitude to certain extent. Moreover, the computational efficiency is greatly improved compared to LSM.