Abstract
In ocean-bottom node (OBN) seismic exploration, a ghost is a common interference wave that affects the accuracy of seismic data interpretation. Receiver de-ghosting can be achieved using dual-sensor summation technology, which employs a hydrophone and geophone to collect seismic signals. The differences between the two receivers cause the polarities of the ghost wave signals to be opposite; therefore, the ghost waves can be eliminated by adding these receivers. However, there are differences between the actual data obtained from the hydrophone and geophone with regard to frequency, phase, and amplitude, thereby preventing them from being directly summated. Therefore, the frequency, phase and amplitude of both data records must be matched for consistency before dual-sensor summation can be conducted. In addition, some noise and ghosts will remain during data processing, resulting in a reduction in the signal-to-noise ratio of the data, making it necessary to adopt noise and residual ghost suppression methods. In this study, a wavelet analysis was newly introduced to the dual-sensor summation process. Specifically, the wavelet spectrum whitening method was proposed for the frequency matching of dual-sensor data, and the nonlinear wavelet transform threshold method of the wavelet denoising method was applied to suppress the noise and residual ghost. On this basis, a new dual-sensor process flow in OBN seismic exploration was developed. The feasibility and effectiveness of the method were verified using actual data. The method proposed in this study will help to improve the accuracy of future data processing.
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This research was jointly supported by the National Key R&D Program of China (2021YFA0716902) and National Natural Science Foundation of China (41874123).
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All authors contributed to the research in the paper. Conceptualization: SS and QCL; Methodology: ZXW and GP; Formal analysis and investigation: ZXW; Writing—original draft preparation: ZXW and GP; Writing—review and editing: SS and QCL; Supervision: QCL All authors have read and agreed to the published version of the manuscript.
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Zhou, X., Guo, P., Song, S. et al. Applying wavelet transform to suppress ghost in ocean-bottom node dual-sensor technology. Mar Geophys Res 43, 5 (2022). https://doi.org/10.1007/s11001-022-09467-z
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DOI: https://doi.org/10.1007/s11001-022-09467-z