Method for analyzing spatially-varying noise in seismic data...

Data processing: measuring – calibrating – or testing – Measurement system – Measured signal processing

Reexamination Certificate

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C704S256000, C348S607000, C342S159000

Reexamination Certificate

active

06847921

ABSTRACT:
The invention is a method for analyzing spatially-varying noise in seismic data. Transitions between data values at adjacent data locations in a seismic data set are represented by Markov chains. Transition probability matrices are constructed from the Markov chains. Data values are predicted from the calculated transition probabilities. Noise values are determined from the predicted data values.

REFERENCES:
patent: 6038526 (2000-03-01), Stein
Almeida, A. S. and Journel, A. G. (1994) “Joint Simulation of Multiple Variables With a Markov-Type Coregionalization Model”, J. Math. Geo., v. 25, pp. 565-588.
Gouveia, W. P., Cullick, A. S. and Deutsch, C. V (1998) “An Optimization Framework for Reservoir Characterization”, 1998 SEG Expanded Abstracts.
Handcock, M. S., Meier, K., and Nychka, D. (1994) “Comment on Kriging and Splines: An Empirical Comparison of Their Predictive Performance in Some Applications by G. M. Laslett”, J. Am. Stat. Assoc., vol. 89, pp. 401-403.
Journel, A. G. (1999) “Markov Models for Cross-Covariances”, Math. Geo., vol. 31, pp.; 955-964.
Journel, A. G. and Shmaryan, L. E. (1999 (1994?)) “Two Markov Models and Their Application”, Math. Geo., vol. 31, pp. 965-988.

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