Spectral analysis method for seismic signals
A seismic signal and spectrum analysis technology, applied in the field of seismic signal spectrum analysis, can solve the problem that the spectrum cannot accurately analyze the signal characteristic information, achieve high time-frequency resolution, good anti-noise performance, easy to understand and use.
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[0079] Aiming at the problems of the traditional time-frequency analysis method in the seismic signal, such as fixed window form, single resolution, and poor energy concentration, this embodiment provides a spectral analysis method for seismic signals. Firstly, the sliding-window Fourier transform is applied to each seismic trace signal by applying the new window function, and then the CM value of concentration under different parameter conditions is calculated, and the optimal parameter is selected for generalized time-frequency transform. Experiments show that this method has higher resolution and energy density than traditional time-frequency analysis methods. Higher time-frequency resolution means that the time-frequency characteristics of seismic signals are more clearly described, which is convenient for subsequent research in fields such as thin layer identification and exploration.
[0080] The specific implementation steps include:
[0081] (1) Input the original sig...
experiment example
[0096] see Figure 10 , Figure 11 and Figure 12 , design a wedge-shaped seismic signal model, with a total acquisition time of 500 ms and a total of 60 traces of seismic data. The Leike wavelet with a main frequency of 30 Hz is used as the source wavelet. The reflection coefficients of the top and bottom of the model are 0.4 and -0.4, respectively. Figure 10 Synthesize seismic records for wedge models. Figure 11 In order to apply the existing Stockwell transform to the synthesized seismic records, it can be seen that the interference between the synthesized signals is serious in the 10th, 30th and 50th seismic data of the wedge model and its vicinity. Recognition of thin layers is fuzzy. Figure 12 For the application of synthetic seismic records, time-frequency analysis is performed on each channel of data, and the main frequency is extracted, and the amplitude slice is made. Through the amplitude spectrum to distinguish the thin layer interface, it can be seen that th...
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