Dynamic deconvolution based on adaptive local frequency modulation transform

Dynamic deconvolution in the time-frequency domain is an effective method to improve seismic resolution. However, the traditional methods usually suffer from the limitation of window width and shape, resulting in insufficient time-frequency resolution and phase distortion of seismic signatures, which significantly limits their applicability in complex geological conditions. To overcome this problem, we propose an adaptive local frequency modulation transform (ALFMT), which is directly embedded in the dynamic deconvolution method. ALFMT can dynamically adjust the shape of the analysis window based on the adaptive local frequency information so that the time-frequency energy is effectively focused near the local frequency, thereby improving the focusing and resolution of the time-frequency representation. The synthetic examples and actual seismic application demonstrate that the ALFMT-based dynamic deconvolution can effectively compensate for the seismic amplitude energy, and the compensated data has a higher resolution and clearer reflection characteristics.