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Demodulated synchrosqueezing S-transform and its application and economic value in seismic data analysis

JUN ZHOU1 ,  LIEJUN LI2 ,  QINGNAN HE1 ,  WEI LIU3 ,  HONGZHI MA1
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1 Nanchang Institute of Science and Technology, Gezaoshan Road 998, Honggutan District, Nanchang 330108, P.R. China.,
2 Nanchang Normal College of Applied Technology, Mingyueshan Road 1599 Honggutan District, Nanchang 330108, P.R. China.,
3 College of Mechanical and Electrical Engineering, Beijing University of Chemical Technology, North Third Ring Ring 15, Chaoyang District, Beijing 100029, P.R. China.,
JSE 2023, 32(3), 229–242;
Submitted: 20 January 2023 | Accepted: 9 April 2023 | Published: 1 June 2023
© 2023 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

Zhou, J., Li, L.J., He, Q.G., Liu, W. and Ma, H.Z., 2023. Demodulated synchrosqueezing S-transform and its application and economic value in seismic data analysis. Journal of Seismic Exploration, 32: 229-242. The synchrosqueezing transforms based on short-time Fourier transform (FSST) and wavelet transform (SSWT) have been widely used in the analysis of non-stationary signals. In the light of the superiority of S-transform (ST) over short-time Fourier transform (STFT) and wavelet transform (WT) in time-frequency representation (TFR), we propose a novel time-frequency analysis method, termed as demodulate synchrosqueezing S-transform (DSSST), which achieves a highly energy-concentrated TFR by making full use of two operations including demodulation technique and ST-based synchrosqueezing transform (SSST). The formulas for the DSSST and its inverse transform are derived. Synthetic example shows that the DSSST has higher time-frequency resolution compared with the standard ST and SSST. Then we apply the DSSST to perform the spectral decomposition on a real field data including gas-filled sand. The results demonstrate that the DSSST can be utilized to well characterize the spectral anomalies related to hydrocarbon reservoir, which renders that this new approach is promising for seismic data analysis.

Keywords
time-frequency representation
S-transform
synchrosqueezing transform
demodulate synchrosqueezing S-transform
hydrocarbon detection
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing
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