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Deblending for Hybrid Simultaneous-Source Data

delete2022-01-01
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AI
祖绍环 cover
祖绍环 (Shaohuan Zu) *
C
Chengzhi Hou
Y
Yuanjun Wang
DOI:10.1109/TGRS.2022.3179518delete
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Abstract

Abstract

En 中文
Unlike the conventional seismic acquisition, simultaneous-source acquisition allows the overlap in the record, which can enhance acquisition efficiency and improve image quality. To further explore the advantage of simultaneous-source technology, a double blending survey is proposed, which contains the self-interference and cross-interference. In the designed survey, the self- and cross-interference are controlled by two factors (inline shot interval and source number). When the inline shot interval is larger than the efficient record length (ERL), the blending scheme is degraded to the cross simultaneous-source survey. When the source number is equal to one, the blending scheme is degraded to the self simultaneous-source survey. To suppress intense hybrid interference, the mixed regularization term integrating sparse constraint and rank reduction constraint is applied to provide stronger regularization ability. Compared with the individual penalty term, the mixed constraint can further suppress hybrid interference and obtain better deblending performance. Deblended results on synthetic and field data examples confirm the performance of mixed constraint and demonstrate that the designed hybrid simultaneous-source survey can further enhance the efficiency of acquisition.
Keywords:
Interference
Interference cancellation
Noise reduction
Imaging
Receivers
Crosstalk
Matrix decomposition
Deblending
hybrid simultaneous-source
mixed constraint

Journal

IEEE Transactions on Geoscience and Remote Sensing cover
IEEE Transactions on Geoscience and Remote Sensing
IF:
8.6
Papers:
2.1W
Citations:
10.7W

Organization

C
China West Normal University
Scholars:
4.3K
Papers: 2.5K
Citations: 2.7K
C
Chengdu University of Technology
Scholars:
1.2W
Papers: 6.9K
Citations: 24