High resolution processing method of seismic data based on attenuation compensation

Deconvolution is an effective means to improve the resolution of seismic records and it is generally based on hypothesis of stationary wavelet. Because of the non-complete elasticity of the subsurface medium, seismic records are usually non-stationary, so it is difficult to improve resolution through direct deconvolution on records. A high-resolution processing method is proposed based on attenuation compensation, which adapts stable inverse Q filtering technique to eliminate the non-stationary of records through compensating the energy and correcting the phase, and then Wiener deconvolution is used to improve the resolution of records through compressing seismic wavelet to expand its bandwidth. The application results of Wiener deconvolution, time-varying Wiener deconvolution and high-resolution processing method based on attenuation compensation are compared in synthetical and real data. The results show that high-resolution processing method based on attenuation compensation can effectively improve the resolution of non-stationary seismic records.