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- W2084030757 abstract "Spectral decomposition has proven to be a powerful means to identify strong amplitude anomalies at specific frequencies that are otherwise buried in broad‐band response. We compute Teager‐Kaiser Energy for each component of a joint time‐frequency representation to generated from a 3D survey acquired over a Brazilian deep water carbonate reservoir. This nonlinear energy tracking algorithm allows us to differentiate between high amplitude reservoir and other high amplitude reflections. We calibrate our algorithm against synthetic seismic traces generated from the well logs and and then apply to the real seismic data to reveal important geological features." @default.
- W2084030757 created "2016-06-24" @default.
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- W2084030757 date "2008-01-01" @default.
- W2084030757 modified "2023-09-24" @default.
- W2084030757 title "Brazilian deep water carbonate reservoir study using the wavelet transform Teager‐Kaiser energy" @default.
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- W2084030757 doi "https://doi.org/10.1190/1.3059202" @default.
- W2084030757 hasPublicationYear "2008" @default.
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