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Cepstrum decomposition of seismic signals and its application in hydrocarbon detection of ultradeep carbonate reservoirs |
ZHANG Yong-Sheng1( ), HUANG Chao1, LIU Jun1, ZHANG Yong-Heng2, WANG Xing-Jian2, XUE Ya-Juan3 |
1. Exploration and Development Research Institute,SINOPEC Northwest Oilfield Branch,Urumqi 830011,China 2. College of Geophysics,Chengdu University of Technology,Chengdu 610059,China 3. School of Communication and Information Engineering,Chengdu University of Information Technology,Chengdu 610059,China |
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Abstract The cepstrum decomposition technology for seismic signals,recently developed for hydrocarbon detection,can highlight weak fluid information in some specific frequency bands of broadband seismic signals.This study explored the cepstrum decomposition technology for seismic signals using Fourier transform(FT)- and wavelet packet transform (WPT)-based cepstrum.Moreover,the technology was applied to the ultradeep carbonate reservoirs in the Shunbei area for hydrocarbon detection.A comparative analysis was conducted on the characteristics of common cepstrum profiles and conventional common frequency profiles.Furthermore,a detailed comparative analysis was conducted on the characteristics of the first- and second-order common cepstrum profiles of FT- and WPT-based cepstra.On this basis,the hydrocarbon detection effects were compared between FT- and WPT-based cepstra.The processing results of actual seismic data show that compared to the conventional spectral decomposition technology based on wavelet transform,the cepstrum decomposition technology manifested higher spatio-temporal resolution,providing more detailed information. Contrasting with FT-based cepstrum decomposition,WPT-based cepstrum decomposition provided a more accurate interpretation of gas-bearing properties through the seismic amplitude anomaly profiles.
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Received: 11 February 2024
Published: 08 January 2025
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Flow chart of seismic data cepstrum decomposition technology based on Fourier-based cepstrum
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Flow chart of seismic data cepstrum decomposition technology based on wavelet-based cepstrum
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Geological model(a) and its seismic response profile(b)
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层号 | Vp (m·s-1) | /(g·cm-3) | /Hz | /(m2·s-1) | | ① | 5000 | 2.500 | 1.0 | 1.0 | 200 | ② | 5260 | 2.539 | 1.0 | 1.0 | 200 | ③ | 5320 | 2.548 | 1.0 | 1.0 | 200 | ④ | 5100 | 2.515 | 5 | 400 | 5 | ⑤ | 5550 | 2.583 | 1.0 | 1.0 | 200 | ⑥ | 5800 | 2.620 | 1.0 | 1.0 | 200 |
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Parameters for the geological model
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Seismic amplitude anomaly section a—Fourier-based cepstrum;b—wavelet-based cepstrum
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The seismic section intersecting a known gas well
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First-order common quefrency and common frequency sections of the seismic section intersecting the known well a—8 Hz common frequency section extracted by the CWT,Morlet wavelet is used in wavelet transform;b—first-order common quefrency section extracted by Fourier-based ceptrum;c—first-order common quefrency section extracted by the wavelet-based cepstrum
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First and second-order common quefrency sections extracted from Fourier-based cepstrum and wavelet-based cepstrum a—first-order common quefrency section extracted by Fourier-based cepstrum;b—second-order common quefrency section extracted by Fourier-based cepstrum;c—first-order common quefrency section extracted from wavelet-based cepstrum;d—second-order common quefrency section extracted from wavelet-based cepstrum
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Seismic amplitude anomaly section a—Fourier-based cepstrum;b—wavelet-based cepstrum
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Seismic amplitude anomaly slice a—Fourier-based cepstrum;b—wavelet-based cepstrum
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