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Conclusions

We propose a seismic dip estimate method based on the 2D Hilbert transform. We compute the stable dip by using the noniterative approximation relation within the middle frequency band, and improve the computational efficiency relative to the iterative dip algorithm based on the PWD filter. We combine the proposed method with nonstationary polynomial fitting to suppress the seismic random noise using the computed local seismic dip. We predict the seismic structure trend using the structure-oriented window based on the seismic dip, while balancing the random noise attenuation and signal preservation via filtering with the nonstationary polynomial fitting. The proposed method suppresses the seismic noise and strongly depend on the of dip trend prediction. The accuracy of computed dip is directly affected by filtering. The method is not applicable at strong noise conditions. We use synthetic model and field data processing, to demonstrate the applicability of the proposed method.


next up previous [pdf]

Next: Appendix A: Hilbert transform Up: Liu et al.: Dip Previous: Field data tests

2015-05-07