Enhancing resolution of seismic data based on the changing wavelet model of the seismogram

We present a mathematic expression of the changing wavelet model of the seismogram (CWMS). Based on this expression, a new method, named adaptive frequency-broadening technique (AFBT), for enhancing the resolution of nonstationary seismic data is proposed. The AFBT consists of three steps: (1) divide the nonstationary seismic signal into proper segments by a set of molecular windows adaptive to the signal, where each segment can be regarded as stationary; (2) deal with each segment to expand its frequency bandwidth in the Gabor domain; (3) take inverse Gabor transform, then the high-resolution signal is obtained. The AFBT works well even when the reflectivity doesn't satisfy white presumption, and can preserve relative local energy of original seismic signal which is useful for seismic data interpretation.