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Improving The Temporal Resolution Of Seismic Data By Combination Of Short Time Fourier Transform And Cepstrum AnalysisNormal access

Author: H. Karsli
Event name: 9th Congress of the Balkan Geophysical Society
Session: 5.01 Seismic
Publication date: 05 November 2017
DOI: 10.3997/2214-4609.201702506
Organisations: BGS, EAGE
Language: English
Info: Extended abstract, PDF ( 801.39Kb )
Price: € 20

Summary:
In seismic data processing, improving the temporal resolution of seismic data is generally provided by broadening the spectral bandwidth of seismic data and this is basis for discovering the hidden and more detailed subsurface structural and stratigraphic information. In this paper it is presented a methodology which combines the short time Fourier transform (STFT) and cepstrum analysis called logarithmic STFT to extend spectral bandwidth and so improve temporal resolution of seismic data. The performance of the proposed method has been tested and shown on a seismic wavelet, 1D synthetic thin bed model, 2D synthetic wedge model and field seismic section. Application of the method requires only a spectral decomposing window function and its length. Herein, a Gaussian window was used for the spectral decomposition because of its smooth flanks. The results show that the proposed method can considerably increase the temporal resolution of the seismic data and may be useful to interpret the seismic data from thin layered sedimentary medium.


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