Ghost Wave Suppression Method for OBS Data Based on Horizontally Extended Complex Wavelet Transform

By employing the horizontally extended complex wavelet transform method, the differences between land and water detection data are precisely corrected, solving the problem of poor ghost wave suppression in shallow water environments. This achieves higher accuracy and more stable ghost wave suppression, improving the signal-to-noise ratio and imaging quality of OBS seismic data.

CN122131383APending Publication Date: 2026-06-02CNOOC TIANJIN BRANCH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CNOOC TIANJIN BRANCH
Filing Date
2026-03-04
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

In shallow water environments, the ghost wave suppression effect of OBS seismic data is poor, and traditional methods are unable to effectively distinguish and correct the differences between land and water seismic data, resulting in severe damage to the effective signal and making it difficult to meet the needs of complex seismic data.

Method used

A method based on horizontal extended complex wavelet transform is adopted to perform cross-ghosting processing on the water and land inspection data. Then, the data is transformed to the complex wavelet domain by horizontal extended complex wavelet transform. The amplitude ratio and phase difference calibration operator are calculated, and local calibration is performed in the complex wavelet domain. Finally, the ghost-suppressed upflow wave data is obtained by least squares matched subtraction.

Benefits of technology

It significantly improves ghost wave suppression, accurately corrects amplitude and phase inconsistencies in land and water detection data, enhances signal-to-noise ratio and resolution, stability and imaging quality, and adapts to complex wave fields and shallow water environments.

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Abstract

This invention discloses a ghost wave suppression method for OBS data based on horizontally extended complex wavelet transform. The method transforms land and water detection data into the complex wavelet domain using horizontally extended dual-tree complex wavelet transform. Then, the envelope energy ratio and phase ratio of the land and water detection data are calculated in different frequency bands of the complex wavelet domain to obtain the land detection amplitude and phase correction operators for each frequency band. These operators are applied to the land detection data to obtain calibrated land detection data. Subsequently, the land and water detection data are subtracted to obtain downlink wave data. Simultaneously, the above data undergoes an inverse complex wavelet transform to obtain a time-domain ghost wave model. Finally, the original land detection data and the ghost wave model are subtracted using least-squares matched subtraction to obtain the final uplink wave data. This invention, through fine calibration in the horizontally extended complex wavelet domain, can more effectively eliminate amplitude and phase differences in land and water detection data, thereby achieving higher-precision uplink and downlink wave field separation and ghost wave suppression.
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