Seismic trace interpolation in the f‐x‐y domain
Author(s) -
Yanghua Wang
Publication year - 2002
Publication title -
geophysics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.178
H-Index - 172
eISSN - 1942-2156
pISSN - 0016-8033
DOI - 10.1190/1.1500385
Subject(s) - interpolation (computer graphics) , seismic trace , trace (psycholinguistics) , algorithm , frequency domain , bilinear interpolation , masking (illustration) , trilinear interpolation , azimuth , offset (computer science) , linear interpolation , domain (mathematical analysis) , computer science , multivariate interpolation , mathematics , mathematical analysis , geometry , artificial intelligence , pattern recognition (psychology) , computer vision , image (mathematics) , art , linguistics , philosophy , visual arts , wavelet , programming language
Seismic trace interpolation is implemented as a 2‐D (x, y) spatial prediction, performed separately on each frequency (f) slice. This so‐called f‐x‐y domain trace interpolation method is based on the relation that the linear prediction (LP) operator estimated at a given frequency may be used to predict data at a higher frequency but a smaller trace spacing. The relationship originally given for thef‐x domain trace interpolation is successfully extended to the f‐x‐y domain. The extension is achieved by masking the data samples selectively from the input frequency slice to design the LP operators. Two interpolation algorithms using the full‐step and the fractional‐step predictions, respectively, are developed. Both methods use an all‐azimuth prediction in the x‐y domain, but the fractional‐step prediction method is computationally more efficient. While the interpolation method can be applied to a common‐offset cube of 3‐D seismic, it can also be applied to 2‐D seismic traces for prestack data processing. Sy...
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