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Application of bi-Gaussian S-transform in high-resolution seismic time-frequency analysis

Zixiang Cheng, Chen Wei, Yangkang Chen, Liu Ying, Liu Wei, Li Huijian and Runfei Yang
Application of bi-Gaussian S-transform in high-resolution seismic time-frequency analysis
Interpretation (Tulsa) (February 2017) 5 (1): SC1-SC7

Abstract

The S-transform is one of the most widely used methods of time-frequency analysis. It combines the respective advantages of the short-time Fourier transform and wavelet transforms with scale-dependent resolution using Gaussian windows, scaled inversely with frequency. One of the problems with the traditional symmetric Gaussian window is the degradation of time resolution in the time-frequency spectrum due to the long front taper. We have studied the performance of an improved S-transform with an asymmetric bi-Gaussian window. The asymmetric bi-Gaussian window can obtain an increased time resolution in the front direction. The increased time resolution can make event picking high resolution, which will facilitate an improved time-frequency characterization for oil and gas trap prediction. We have applied the slightly modified bi-Gaussian S-transform to a synthetic trace, a 2D seismic section, and a 3D seismic cube to indicate the superior performance of the bi-Gaussian S-transform in analyzing nonstationary signal components, hydrocarbon reservoir predictions, and paleochannels delineations with an obviously higher resolution.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 5
Serial Issue: 1
Title: Application of bi-Gaussian S-transform in high-resolution seismic time-frequency analysis
Affiliation: University of Southern California, Department of Petroleum Engineering, Los Angeles, CA, United States
Pages: SC1-SC7
Published: 201702
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 22
Accession Number: 2017-005992
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. sects.
Secondary Affiliation: Yangtze University, CHN, ChinaUniversity of Texas at Austin, USA, United StatesChina University of Petroleum, CHN, ChinaUniversity of British Columbia, CAN, Canada
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201705
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