Window Parameter-Optimized W-Transform Method and Its Application

The W-transform (WT) employs a Gaussian window modulated by instantaneous frequency to enhance low-frequency energy detection in geological reservoirs. However, its time-frequency spectrum suffers from poor energy concentration and dispersion of low-frequency energy. This letter introduces the windo...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2024, Vol.21, p.1-5
Main Authors: Wu, Yaning, Huang, Handong, Tian, Xingda, Liao, Jun, Cheng, Suo
Format: Article
Language:English
Subjects:
Energy
Energy resolution
Frequency modulation
Frequency spectra
Frequency spectrum
Gas bearing
low-frequency shadows
Parameters
Seismic data
Seismological data
Signal resolution
Time-frequency analysis
time–frequency analysis (TFA)
Transforms
W-transform (WT)
Window functions
window parameter optimized
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Summary:The W-transform (WT) employs a Gaussian window modulated by instantaneous frequency to enhance low-frequency energy detection in geological reservoirs. However, its time-frequency spectrum suffers from poor energy concentration and dispersion of low-frequency energy. This letter introduces the window parameter-optimized WT (WPO-WT), which refines the window function using two novel parameters: the energy suppression factor and the trend factor. These factors precisely control the height and width of the window function, significantly improving energy focus around the dominant frequency. Application of the WPO-WT to synthetic signals and field seismic data in the South China Sea demonstrates its effectiveness in improving both the resolution and energy concentration of the time-frequency spectrum.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2024.3402747