Best Practices for Sub-
Salt
Imaging
By
Nick Bernitsas1, Paul Farmer1, Ian Jones2, David Shope1
(1) GX Technology, Houston, TX (2) GX Technology, Egham, Surrey, United Kingdom
Exploration and development of sub-
salt
prospects has been a very difficult
and risky endeavor because of the difficulty in obtaining a good image of the
sub-
salt
sediments. However, recent advances in computer technology coupled with
enhanced and varied depth imaging algorithms have greatly improved the quality
of the sub-
salt
imaging.
To properly image sub-
salt
sediments, we need to honor the complexities in
the propagating wavefield that are generated by the high velocity contrast
between the
salt
and the surrounding sediments. To do so requires building an
accurate velocity model that includes: a) the structural details of the top and
base
salt
surfaces, and b) detailed sediment velocities above and below the
salt
.
Obtaining an accurate and detailed suprasalt velocity model requires
sophisticated tools such as tomography. Determination of the
salt
morphology
requires full volume imaging so that small surface undulations are sampled in
detail. This imaging method can be either Kirchhoff-based for detecting the
existence of very steep or overturned
salt
flanks
or wave equation-based for
properly imaging the base
salt
in the presence of a complex top of
salt
surface.
Such hybrid imaging workflow exploits the best features from each imaging
algorithm. Finally, given the poor signal-to-noise ratio beneath the
salt
,
sub-
salt
sedimentary velocity analysis can only be done in the context of
analyzing the seismic image rather than gathers.
The extent to which an interpretable image can be obtained ultimately depends
on whether sub-
salt
reflections have been recorded in the first place.
Sophisticated wave equation-based illumination analysis tools can be used to
analyze an existing or any planned survey in the context of sub-
salt
illumination of sedimentary reflectors.