Analysis of time-series data using singularities

Details Analysis of time-series data using singularities Analysis of time-series data using singularities

2007-10-04

2009-10-13

Raymond, Edward (Department: 2857)

Data processing: measuring, calibrating, or testing

Measurement system in a specific environment

Earth science

C702S016000, C702S017000, C367S073000, C367S081000, C367S086000, C368S070000

Reexamination Certificate

active

07603238

ABSTRACT:
A method for acquiring and analyzing time-series data using singularities is described. This method allows for the analysis of data over a wide spectrum of frequencies. Once the data is acquired in an oil field, singularities of the data are extracted; and the extracted singularities are utilized to interpret the formation properties related to the data.

REFERENCES:
patent: 5850622 (1998-12-01), Vassiliou et al.
patent: 6502037 (2002-12-01), Jorgensen et al.
patent: 6745129 (2004-06-01), Li et al.
Lyons et al., ‘Singularity Analysis: a tool for extracting lithologic and stratigraphic content from seismic data’, 2002, MIT Publication, pp. 1-14.
Innanen, ‘Local Signal Regularity and Lipschitz Exponents as a Means to Estimate Q’, 2003, GEOP Publication, pp. 1-21.
Grossmann, A., and J. Morlet, “Decomposition of Hardy functions into square integrable wavelets of constant shape”, SIAM J. Math. Anal., 15, pp. 723-736, 1984.
S. Mallat and W.L. Hwang, “Singularity detection and processing with wavelets”, IEEE Trans. Inf. Theory, vol. 38, No. 2, pp. 617-643, 1992.
William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling, “Numerical Recipes in C++”, the art of scientific computing, Chapter 13, Cambridge University Press, 1988.
Kristopher A. Innanen, “Local signal regularity and Lipschitz exponents as a means to estimate Q”, pp. 1-21.
X.H. Wang, Robert S. H. Istepanian, “Application of wavelet modulus maxima in microarray spots recognition”, IEEE Trans on Nanobioscience, vol. 2, No. 4, pp. 190-192, Dec. 2003.
Chun Liang Du and Wen-Liang Hwang, “Singularity detection and characterization with complex valued wavelets and their applications”, pp. 1-33.

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