Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Earth science
Reexamination Certificate
2006-01-10
2006-01-10
Hoff, Marc S. (Department: 2857)
Data processing: measuring, calibrating, or testing
Measurement system in a specific environment
Earth science
C702S011000, C702S017000, C073S594000, C073S152010, C367S911000, C367S075000, C367S074000, C346S0330WL, C181S108000, C181S106000, C175S001000, C175S040000, C175S050000, C375S240190
Reexamination Certificate
active
06985815
ABSTRACT:
A method of seismic data processing is described in which a particular wavelet is selected from a plurality of wavelets as being most characteristic of a received seismic signal. A subtracted signal can be determined by subtracting a weighted signal of the particular wavelet from the received signal. From the subtracted signal, an additional particular wavelet can be chosen. The process of subtracting a signal and determining an additional particular one of the plurality of wavelets can be repeated until a criterion is met. The method can be repeated at several depths. The resultant spectral analysis can be used to determine, for example, an absorption coefficient.
REFERENCES:
patent: 4750157 (1988-06-01), Shei
patent: 4780859 (1988-10-01), Hadidi et al.
patent: 4964086 (1990-10-01), O'Connell et al.
patent: 5136551 (1992-08-01), Armitage
patent: 5253217 (1993-10-01), Justice et al.
patent: 5886255 (1999-03-01), Aronstam
patent: 6108606 (2000-08-01), Korneev et al.
patent: 6556922 (2003-04-01), Anno
patent: 6751558 (2004-06-01), Huffman et al.
patent: 6757343 (2004-06-01), Ortega et al.
patent: 6791899 (2004-09-01), Blanch et al.
Graps, ‘An Introduction to Wavelets’, Jan. 1995, IEEE Article, pp. 1-18.
Stojanovic et al., ‘Application of Wavelet Analysis to Seismic Signals’, Oct. 1999, IEEE Article, pp. 612-615.
Willasenor et al., ‘Seismic Data Compression Using High-Dimensional Wavelet Transforms’, Jan. 1996, IEEE Article, pp. 396-405.
Hoffman et al., ‘Seismic Buffer Recongnition Using Wavelet Based Features’, Jan. 1998, IEEE Article, pp. 1333-1335.
Frye, ‘A Straightforward Approach to High Definition Temporal/Frequency Analysis: The Scaled Gaussian Filter (SGF)’, Jan. 1999, FE, Inc. pp. 1-26.
Fernandez et al., ‘Texture Segmentation of a 3D Seismic Section with Wavelet Transform and Gabor Filters’, Jan. 2000, IEEE Article, pp. 354-357.
Yiou et al., ‘Data-Adaptive Wavelets and Multi-Scale SSA’, Oct. 26, 1998, Physica, pp. 1-43.
John P. Castagna et al.;Instantaneous spectral analysis: Detection of low-frequency shadows associated with hydrocarbons, The Leading Edge, Feb. 2003, pp. 120-127, 14 Figs.
John P. Castagna et al.;The Use of Spectral Decomposition as a Hydrocarbon Indicator, Gas TIPS, Summer 2002, pp. 24-27, 4 Figs.
Avijit Chakraborty et al.;Frequency-time decomposition of seismic data using wavelet-based methods, Geophysics, vol. 60, No. 6 (Nov.-Dec. 1995); pp. 1906-1916, 7 Figs.
Stephane G. Mallat et al.:Matching Pursuits With Time-Frequency Dictionaries, IEEE Transactions on Signal Processing, vol. 41 No. 12, Dec. 1993, pp. 3397-3415, 7 Figs.
Li Xia et al.; The University of Oklahoma Graduate College,Spectral Analysis of Seismic Data Using Wavelet Transform, a Thesis Submitted to the Graduate Faculty, 1999, i-xii, pp. 1-96, 62 Figs.
Castagna John P.
Siegfried, II Robert W.
Sun Shengjie
Desta Elias
Gas Technology Institute
Hoff Marc S.
Madan Mossman & Sriram P.C.
LandOfFree
Instantaneous spectral analysis does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Instantaneous spectral analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Instantaneous spectral analysis will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3596643