
Velocity images from stacking depth‐slowness seismic wavefields
Author(s) -
Jones Geraint D.,
Barton Penny J.,
Singh Satish C.
Publication year - 2007
Publication title -
geophysical journal international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 168
eISSN - 1365-246X
pISSN - 0956-540X
DOI - 10.1111/j.1365-246x.2006.03055.x
Subject(s) - slowness , geology , stacking , offset (computer science) , geodesy , midpoint , seismology , continuation , geophone , algorithm , geometry , mathematics , computer science , physics , nuclear magnetic resonance , programming language
SUMMARY We present synthetic and real data examples processed using a depth imaging method for long‐offset multichannel seismic data via the intercept‐time‐slowness (τ– p ) domain. The refracted and reflected information contained in the wavefield is processed simultaneously. Our scheme uses common midpoint data that is transformed to the τ– p domain and mapped to the depth‐slowness ( z – p ) domain using a downward continuation algorithm. The velocity function for downward continuation may be obtained iteratively from the diving ray trajectory within the slowness‐depth wavefield or estimated using an independent method. Horizontal events within the z – p wavefield are isolated by applying a mute function corresponding to the downward continuation velocity function in the z – p domain. Stacking the resulting wavefield gives an image trace that may be superimposed on the velocity function to form a velocity image. Following testing on synthetic data the method is applied to two long‐offset marine seismic streamer data sets with offsets up to 18 km, from the northeast Atlantic margin. These examples demonstrate the potential of the method to obtain velocity images in difficult geological locations, where conventional processing has been less successful.