In this paper, four methods of seismic wavelet estimation are investigated: the statistical method, the full wavelet method, the constant phase method and the Roy White method. The influences of algorithm parameters and data types on the wavelet estimation are also analyzed. It turns out that different wavelet estimation methods may give different results. They are influenced differently by parameter values and the data used. The best method needs to be determined for the dataset at hand and different parameter values need to be tested by trial and error. What is more, a minimum-phase wavelet is modeled as a linear-phase wavelet, which may make minimum-phase wavelet estimation more simple and robust.
View full article as PDF (1.34 Mb)