Wavelet Joint Extraction Method Based on Seismic Velocity and Acceleration Signals

Seismic resolution is a key indicator in seismic exploration technology and directly affects the reliability of seismic data interpretation. Seismic wavelet extraction plays a vital role in high-resolution seismic processing. Traditional seismic wavelet extraction methods, such as autocorrelation and homomorphic deconvolution, are limited to the minimum phase assumption. The wavelet extraction method that combines multitrace statistical wavelet extraction and logging data requires the reflection coefficients and wavelets of adjacent traces to be consistent. In view of these limitations, this study proposes a wavelet joint extraction method based on seismic velocity and acceleration signals. This method does not require assumptions regarding the phase of the wavelet, and an acceleration signal is introduced to avoid an excessive gap between adjacent traces. Independent component analysis (ICA) was used to reduce the influence of noise on the higher order cumulants. This method first performs ICA on the velocity and acceleration signals to obtain the preprocessed data and the corresponding high-order cumulants. The amplitude and phase spectra of the wavelet were then reconstructed using the amplitude and phase spectra of the high-order cumulant. Finally, a seismic wavelet was reconstructed based on the obtained amplitude and phase spectra. The theoretical model and actual seismic data were processed using the proposed method. The test results show that this method can extract a more accurate seismic wavelet and has feasibility and application potential for improving the resolution of seismic data.