Publication Date:
2016-07-28
Description:
We developed a new partial common-reflection-surface
(CRS) stacking method to enhance the quality of sparse lowfold
seismic data. For this purpose, we use kinematic wavefield
attributes computed during the automatic CRS stack.
We apply a multiparameter CRS traveltime formula to compute
partial stacked CRS supergathers. Our algorithm allows
us to generate NMO-uncorrected gathers without the application
of inverse NMO/DMO. Gathers obtained by this approach
are regularized and have better signal-to-noise ratio
compared with original common-midpoint gathers. Instead
of the original data, these improved prestack data can be used
in many conventional processing steps, e.g., velocity analysis
or prestack depth migration, providing enhanced images
and better quality control.We verified the method on 2D synthetic
data and applied it to low-fold land data from northern
Germany. The synthetic examples show the robustness of the
partial CRS stack in the presence of noise. Sparse land data
became regularized, and the signal-to-noise ratio of the seismograms
increased as a result of the partial CRS stack.
Prestack depth migration of the generated partially stacked
CRS supergathers produced significantly improved common-
image gathers as well as depth-migrated sections.
Type:
Article
,
PeerReviewed
Format:
text
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