Abstract
Seismic wavelet estimation is an important part of seismic data processing and interpretation, whose preciseness is directly related to the results of deconvolution and inversion. The methods for seismic wavelet estimation can be classified into two basic types: deterministic and statistical. By combining the two types of methods, spectral coherence method (Walden & White, 1998) of deterministic method and skewness attribute method (Fomel & Van der Baan, 2014) of statistical method, the amplitude and phase of the time-varying wavelet are estimated separately. The skewness attribute is used to estimate time-varying phase of propagating wavelet instead of locally observed wavelet. Phase-only corrections can then be applied by means of a time-varying phase rotation. Alternatively, amplitude and phase deconvolution can be achieved to enhance the resolution. We illustrate the method on both synthetic and real data examples.
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.
