Automaticin vivo nmr data processing based on an enhancement procedure and linear prediction method

1992 ◽  
Vol 27 (2) ◽  
pp. 318-328 ◽  
Author(s):  
A. Diop ◽  
A. Briguet ◽  
D. Graveron-Demilly
Geophysics ◽  
2002 ◽  
Vol 67 (4) ◽  
pp. 1232-1239 ◽  
Author(s):  
Yanghua Wang

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. Synthetic and real data examples demonstrate the capability of the interpolation method.


2019 ◽  
Vol 301 ◽  
pp. 56-66 ◽  
Author(s):  
S.G.J. van Meerten ◽  
W.M.J. Franssen ◽  
A.P.M. Kentgens

1999 ◽  
Vol 12 (6) ◽  
pp. 405-406
Author(s):  
D. J. O. McIntyre
Keyword(s):  

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