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- W2900527114 abstract "Simultaneous-source acquisition helps the field crews obtain a faster seismic data recording by allowing multiple sources to be fired simultaneously. However, the simultaneous source ignition causes strong interferences in the recorded data, which greatly affects the subsequent seismic data processing and imaging workflows. An effective separation of simultaneous sources is considered as the key in successfully utilizing the simultaneous-source acquisition technology. In this paper, we propose a novel smoothed singular spectrum analysis (SSA) approach to remove blending noise in an iterative inversion manner. Compared with the traditional SSA approach, the smoothed SSA approach applies a Gaussian smoothing operator onto the Hankel matrix in the frequency domain, and can attenuate more blending noise than the traditional SSA method. We use both synthetic and field data examples to demonstrate the successful performance of the proposed method." @default.
- W2900527114 created "2018-11-29" @default.
- W2900527114 creator A5018916500 @default.
- W2900527114 creator A5056450584 @default.
- W2900527114 creator A5075622503 @default.
- W2900527114 date "2019-02-01" @default.
- W2900527114 modified "2023-09-27" @default.
- W2900527114 title "Iterative deblending of simultaneous-source data using smoothed singular spectrum analysis" @default.
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- W2900527114 doi "https://doi.org/10.1016/j.jappgeo.2018.10.015" @default.
- W2900527114 hasPublicationYear "2019" @default.
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