The multiscale Fourier transform
- Daniel Locci-Lopez (School of Geosciences, University of Louisiana at Lafayette) | Rui Zhang (School of Geosciences, University of Louisiana at Lafayette) | Arnold Oyem (Department of Earth and Atmospheric Sciences, University of Houston) | John Castagna (Department of Earth and Atmospheric Sciences, University of Houston)
- Document ID
- Society of Exploration Geophysicists
- 2018 SEG International Exposition and Annual Meeting, 14-19 October, Anaheim, California, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Exploration Geophysicists
- Seismic stratigraphy, Fourier, Algorithm, Spectral analysis, Resolution
- 1 in the last 30 days
- 16 since 2007
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Multi-resolution spectral decomposition methods such as the S-transform and the Continuous Waelet Transform, are known to distort spectral attributes such as peak frequency. We introduce a spectral decomposition approach via a multi-scale Fourier Transform that utilizes a frequency-dependent temporal window to achieve any desired combination of temporal and frequency resolution. We investigate a specific frequency-dependent window that focusses the analysis on the full-width at half-maximum of a frequency-dependent Gaussian function. The resulting time-frequency analysis has significantly improved time-resolution relative to the S-transform. This is demonstrated on real seismic data in the Permian Basin.
Presentation Date: Monday, October 15, 2018
Start Time: 1:50:00 PM
Location: Poster Station 19
Presentation Type: Poster
|File Size||760 KB||Number of Pages||5|
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