WINDOWED STATISTICAL ANALYSIS FOR ANOMALY DETECTION IN GEOPHYSICAL DATASETS Russian patent published in 2015 - IPC G01V1/28 G06F17/10 

Abstract RU 2554895 C2

FIELD: physics; geophysics.

SUBSTANCE: invention relates to geophysics and can be used in processing seismic data when searching for hydrocarbon deposits. The disclosed method of identifying geologic features from geophysical or attribute data includes using windowed principal component, or independent component, or diffusion mapping analysis. Subtle features become identifiable in partial or residual data volumes. The residual data volumes are created by eliminating data not captured by the most prominent principal components. The partial data volumes are created by projecting the data onto selected principal components. Geologic features may also be identified from pattern analysis or anomaly volumes generated with a variable-scale data similarity matrix.

EFFECT: high accuracy of prediction data of oil and gas content of an investigated area.

31 cl, 11 dwg

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RU 2 554 895 C2

Authors

Kumaran Krishnan

Van Tszinbo

Khusseneder Stefan

Gillard Dominik G.

Medema Gaj F.

Shreder Fred V.

Brovi Robert L.

Dimitrov Pavel

Kejsi Mehtt'Ju S.

Dates

2015-06-27Published

2011-03-17Filed