Abstract
Summary Improving vertical resolution is important for detecting more detail in seismic data. Most bandwidth-broadening methods assumed the seismic source wavelet to be time-invariant, or stationary. In practice, seismic scattering and attenuation lead to non-stationary seismic source wavelets. To address this issue, we propose to approximate the time-variant wavelet spectra using the generalized S-transform and the non-stationary polynomial fitting. We then replace the estimated time-variant wavelet spectra by bandwidth-enhanced wavelet spectra, which are made by stacking the weighted amplitude spectra of the estimated, stretched and squeezed wavelets. The stretched and squeezed wavelet spectra are calculated using the Fourier scaling theorem. We test the performance of the algorithm on synthetic and real data to obtain broader frequency spectra without greatly boosting the noise.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
