Time-Frequency Domain Dynamic Inverse Filtering Method Based on an Adaptive Scaling Factor

Abstract

Seismic waves experience absorption and attenuation by rock strata during propagation, resulting in high-frequency energy loss. A common method to solve this problem is to use a scaling factor to dynamically scale wavelets in the time– frequency domain and utilise a high-frequency wavelet for replacing the original wavelet to achieve dynamic inverse filtering. However, because a stable scaling factor is used, this method suffers from the problems of band shift and low-frequency energy loss after processing. To overcome these problems, an innovative time–frequency domain dynamic inverse filtering method using an adaptive scaling factor is proposed in this paper. This method performs broadband wavelet dynamic inverse filtering by establishing the correlation between the scaling factor and time and frequency and expanding the low-frequency and high-frequency parts of the wavelet. This method can take into account both the low- and high-frequency parts of the wavelet during high-resolution processing and provides wide-frequency-band seismic data.