Communications – electrical: acoustic wave systems and devices – Seismic prospecting – Well logging
Patent
1984-05-23
1987-10-06
Tarcza, Thomas H.
Communications, electrical: acoustic wave systems and devices
Seismic prospecting
Well logging
367 28, 364422, G01V 121
Patent
active
046987932
ABSTRACT:
A method of sonic logging in which there is established at a depth of interest in a borehole a set of peak matrices comprised of peak vectors representative of a plurality of different characteristics of sonic signals traversing an earth formation. A set of rules is established based upon borehole sonic characteristics including the utilization of past histories of slowness and coherence values of wave components of interest. The matrices are searched in accordance with the rules to identify the presence in the sonic signals of wave components of interest, such, for example, as casing, compressional, shear and Stoneley. The identified wave components are recorded as a function of depth of interest, and the aforesaid steps are repeated at each depth of interest.
The characteristics sought for each component include the maximum of peak coherence, the slowness at peak coherence, the time occurrence at peak coherence, coherent energy at peak coherence, coherent value at peak energy, the slowness at peak energy, the time occurrence at peak energy, and coherent energy at peak energy.
The method is applicable to both open hole and cased hole sonic logging.
REFERENCES:
patent: 4543648 (1985-09-01), Hsu
patent: 4575830 (1986-03-01), Ingram et al.
patent: 4594691 (1986-06-01), Kimball et al.
Garrana Henry N.
Hagel Francis
Hellner Mark
Rostoker Michael D.
Schlumberger Technology Corporation
LandOfFree
Methods for processing sonic data does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Methods for processing sonic data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods for processing sonic data will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2122433