Reducing aliasing artifacts in seismic data processing using sha

Details Reducing aliasing artifacts in seismic data processing using sha Reducing aliasing artifacts in seismic data processing using sha

1999-02-19

1999-10-19

Barlow, John

Communications, electrical: acoustic wave systems and devices

Seismic prospecting

Land-reflection type

367 46, 367 49, 367 52, 367 63, G01V 136, G01V 100

Patent

active

059700238

ABSTRACT:
Marine seismic data sets are generally under-sampled spatially because of the relatively long listening times required in deep water. It is customary to use very long spreads in the field thereby enhancing aliasing and interference from coherent noise. A seismic-signal data processing method is proposed that applies a combination of a forward parabolic Radon transform and a linear Radon transform to the data, followed by a further transform to a three-dimensional frequency domain. In this domain, a deterministic operator is applied to the data to sharpen the Radon-domain response thereof. The data are then scavenged of noise in the Radon domain and inversely transformed back into the time-space domain.

REFERENCES:
patent: 4628492 (1986-12-01), Winney
patent: 4760563 (1988-07-01), Beylkin
patent: 5719822 (1998-02-01), Wang
Linear and Parabolic .tau.-p Transforms Revisited; Binzhong Zhou and Stewart A. Greenhalgh; Geophysics, vol. 59, No. 7 (Jul. 1994); p. 1133-1149, 7 FIGS., 1 Table.
Binzhong Zhou and Stewart A. Greenhalgh (Linear and parabolic t-p transforms revisited) pp. 1133-1149.

Affiliated with

Also associated with

Rating

Reducing aliasing artifacts in seismic data processing using sha does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Reducing aliasing artifacts in seismic data processing using sha, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reducing aliasing artifacts in seismic data processing using sha will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2065110