Local similarity with the envelope as a seismic phase detector

We propose a new seismic attribute, local similarity with the envelope, as an indicator of localized phase of seismic signals. The proposed attribute appears to have a higher dynamical range and a better stability than the previously used local varimax norm. Synthetic and real data examples demonstrate the effectiveness of local similarity with the envelope in detecting and correcting time-varying, locally-observed phase of seismic signals.

[1]  Alistair R. Brown.  Interpretation of three-dimensional seismic data , 1986 .

[2]  Xiaohong Chen,et al.  Stacking angle‐domain common‐image gathers for normalization of illumination , 2011 .

[3]  S. Fomel,et al.  Shaping regularization in geophysical-estimation problems , 2007 .

[4]  Long Jin,et al.  Time-lapse image registration using the local similarity attribute , 2009 .

[5]  Sergey Fomel,et al.  Poststack velocity analysis by separation and imaging of seismic diffractions , 2007 .

[6]  Sergey Fomel,et al.  Local seismic attributes , 2007 .

[7]  Douglas W. Oldenburg,et al.  Automatic phase correction of common-midpoint stacked data , 1987 .

[8]  Guochang Liu,et al.  Stacking seismic data using local correlation , 2009 .

[9]  Sergey Fomel,et al.  Post-Stack velocity analysis by separation and imaging of seismic diffractions , 2006 .

[10]  Mirko van der Baan,et al.  Nonstationary phase estimation using regularized local kurtosis maximization , 2009 .

[11]  Milo M. Backus,et al.  Interpretive advantages of 90°-phase wavelets: Part 1 — Modeling , 2005 .

[12]  P. L. Lawrence,et al.  INTERPRETATION OF SYNTHETIC SEISMOGRAMS , 1961 .

[13]  Mirko van der Baan,et al.  Time-varying wavelet estimation and deconvolution by kurtosis maximization , 2008 .

[14]  Sergey Fomel,et al.  Velocity analysis using AB semblance , 2009 .

[15]  Sven Treitel,et al.  Geophysical Signal Analysis , 2000 .

[16]  Guochang Liu,et al.  Stacking angle-domain common-image gathers for normalization of illumination , 2011 .

[17]  Mirko van der Baan,et al.  Time-varying Wavelet Estimation and Deconvolution , 2009 .