Research On Grouped Sparse Radon-Wavelet Transform Multi-Component Data Processing Method

Radon transform has been widely used in seismic data processing of traditional longitudinal wave exploration,and has achieved good results in suppressing random noise,multiple waves,seismic data reconstruction and wave field travel time information extraction.In recent years,with the development of multi-wave multi-component exploration technology,the existing longitudinal wave exploration Radon transform method can not meet the requirements of multi-component seismic data processing.Therefore,it is necessary to study the Radon transform method suitable for multi-component seismic data processing.In traditional longitudinal wave seismic exploration,the information recorded by the single-component geophone is only the projection of the seismic wave field in the vertical direction.The wave field information is not comprehensive,and the wave field information recorded by the three-component detector used in multi-component seismic exploration is more abundant.It is shown that each component detector can receive the energy of other direction-converted waves in addition to the main waveform energy in this direction,and the energy of this part of the signal is generally weak.However,the traditional Radon transform method has the problem of suppressing the weak signal energy,and the multi-component data processing often fails to achieve the desired effect.Therefore,by improving the existing Radon transform method,it can be applied to multi-component seismic data processing,which is of great significance for the development of multi-wave multi-component seismic exploration technology.In the paper,based on the group sparse threshold criterion and wavelet transform principle,the group sparse Radon transform and Radon-Wavelet joint transform theory are added to the existing Radon transform method for the noise and wave field separation in single-component and multi-component data processing..Using the model data,the group sparse Radon-Wavelet transform method and the traditional Radon transform method experiment are carried out respectively.The advantages and feasibility of the proposed method are verified by comparative analysis.In the paper,the stochastic Radon-Wavelet transform,high-resolution Radon transform and translation-invariant wavelet transform are applied to the random noise of single-component and multi-component seismic records,and the application group sparse Radon is obtained through comparative analysis.The noise noise result of the-Wavelet transform is more consistent with the original data waveform and stronger for the effective signal protection of weak energy.The wave field separation method using the sparse Radon-Wavelet transform of the group is more thorough in transforming waves,and can completely preserve the energy of the effective signal.