Enhancing the resolution of seismic data using improved time-frequency spectral modeling

Abstract

Maximizing vertical resolution is a key objective in seismic data processing. In this study, we propose an improved time-frequency spectral modeling deconvolution method, which firstly uses a generalized S-transform (GST) to decompose each seismic trace, then models smoothly varying spectra of the seismic wavelet using nonstationary polynomial fitting (NPF) from the seismic trace, and finally performs deconvolution and the inverse GST to obtain the seismic data with enhanced resolution. Application to a synthetic and a large 3D survey from onshore China shows the proposed method is superior to conventional spectral modeling method in improving vertical resolution, and confirms that the proposed method is stable in practice and robust in the presence of noise.