In the processing of ocean bottom node (OBN) data, separation of up-going and down-going wavefields through combination of the hydrophones pressure component (P) and geophones vertical component (Z) is useful for receiver side deghosting through P/Z summation and improving shallow image resolution through mirror migration. Precise matching of geophones to hydrophones is crucial for this method to work effectively. Additionally, the presence of scattered shear noise in the Z component data is another major obstacle. In this paper, we propose a new approach that can achieve P/Z matching and shear noise attenuation simultaneously by local attribute matching with phase correction in the dual-tree complex wavelet transform (DTCWT) domain. Synthetic and real dataset examples verify the effectiveness of this method.

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