Program and Abstracts - Gulf Coast Section SEPM

Footprint Suppression Applied to Legacy Seismic Data Volumes
Davogustto, Oswaldo
University of Oklahoma
100 E. Boyd St., Suite 710
Norman, Oklahoma 73019
email: dellpi@ou.edu
Marfurt, Kurt
University of Oklahoma
100 E. Boyd St., Suite 710
Norman, Oklahoma 73019
Acquisition footprint often poses a major problem
for 3D seismic data interpretation. Ideally,
footprint from acquisition is handled at the processing
shop through more careful attention to trace balancing
statics, noise reduction, and velocity analysis (Hill et
al., 1999; Gülünay, 2000). Such reprocessing is not
feasible on many legacy data volumes where the
prestack data cannot be found or no longer exists. Seismic
attributes often provide an effective means of
delineating subtle geological features of interest such
as channels, small faults, and f ractures but can also
enhance acquisition footprint. For this reason attributes
can be used to both design and evaluate the effectiveness
of alternative footprint suppression workflows.
Abstract
In this work we review, apply, and evaluate the
three most popular footprint suppression workflows:
structure-oriented filtering, k x -k y filtering, and limited
data reconstruction using singular value decomposition.
We both characterize acquisition footprint and
evaluate its suppression by its attribute response
through application to legacy data volumes acquired
over the shelf of the Gulf of Mexico, the Central Basin
Platform of Texas, the Delaware Basin of New Mexico,
and the Anadarko Basin of Oklahoma. There is no silver
bullet; in most cases it is useful to combine
structure-oriented filtering and k x -k y filtering workflows
as an attempt to r emove acquisition footprint
from legacy data volumes.
Attributes: New Views on Seismic Imaging—Their Use in Exploration and Production 1