Exxonmobil Upstream Research Company

Fred W Schroeder

Krishnan Kumaran

Matthias Imhof

Pavel Dimitrov

Dominique Gillard

Matthew S Casey

Martin J Terrell

Stefan Hussenoeder

Jingbo Wang

Guy F Medema

Robert L Brovey

Dominique G Gillard

Method for identifying geologic features from geophysical or attribute data using windowed principal component (), or independent component, or diffusion mapping () analysis. Subtle features are made 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 () on to selected principal components (). Geologic features may also be identified from pattern analysis () or anomaly volumes () generated with a variable-scale data similarity matrix (). The method is suitable for identifying physical features indicative of hydrocarbon potential.

Windowed statistical analysis for anomaly detection in geophysical datasets

Growing community of inventors

Tomball, TX, United States of America

Fred W Schroeder