Seismic signal bandwidth development method based on continuous wavelet transformation

Abstract

The invention discloses a method for expanding the bandwidth of seismic signals based on continuous wavelet transform, which includes the following steps: Step 01: read the single-channel data of the original seismic recording signal; Step 02: select a reference frequency in the amplitude spectrum of the original signal, and Calculate the frequency range that needs to be expanded through the reference frequency; step 03: perform continuous wavelet transformation on the single-channel data read in step 01, and convert from the time domain to the time-scale domain; step 04: expand the signal bandwidth in the time-scale domain, And carry out the inverse transformation of the continuous wavelet transform, reconstruct the high-resolution time signal of the spread spectrum, and obtain the single-channel time-domain signal after the bandwidth expansion; repeat steps 01-04 until all the data processing of the channel is completed. The seismic signal bandwidth expansion method based on the present invention can effectively predict the energy information of the high-frequency end and the low-frequency end, expand the seismic signal bandwidth, significantly improve the resolution of the signal, and maintain a high signal-to-noise ratio.

Description

technical field [0001] The invention belongs to the field of seismic exploration data processing, in particular to a method for expanding the bandwidth of seismic signals based on continuous wavelet transform. Background technique [0002] Seismic exploration is one of the important methods in geophysics. It is a method to detect the physical properties of the formation medium by analyzing and measuring artificially excited seismic waves and studying the propagation laws of seismic waves in the formation according to the characteristics of the rock. During the downward propagation of the seismic wavelet excited by the surface, the resolution of the obtained seismic data is relatively low due to the absorption of the stratum. As the exploration objects in oil and gas field exploration become more and more complex, people put forward higher requirements for the processing and interpretation of seismic data. For example, it is required to describe the formation structure, lith...

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Problems solved by technology

The actual seismic data usually cannot fully satisfy these assumptions, thus affecting the application effect of the deconvolution method

[0007] 2. Another defect of the deconvolution method is that it is sensitive to high-frequency noise. Usually, after deconvolution, the signal-to-noise ratio of seismic data will decrease significantly;

Therefore, the seismic record results obtained by the spectral whitening method usually show a rigid waveform;

[0012] 2. The effect on events with weaker energy is poor

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