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Data Processing Methods for 3D Seismic Imaging of Subsurface Volcanoes: Applications to the Tarim Flood Basalt
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STFT-based multisynchrosqueezing transform using a second-order signal model for seismic data analysis.

Bing Pingping1, Ma Yabin2, Wang Zichun3

  • 1Guangzhou College of Commerce, Guangzhou, 511363, China. bpping@163.com.

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|October 10, 2025
PubMed
Summary

A new seismic data analysis method, FMSST2, enhances time-frequency resolution. This technique improves energy concentration and noise robustness for better hydrocarbon reservoir characterization.

Keywords:
Hydrocarbon explorationMultisynchrosqueezing transformSecond-order signal modelSynchrosqueezing transformTime-frequency analysis

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Area of Science:

  • Geophysics
  • Seismic data analysis
  • Time-frequency analysis

Background:

  • Time-frequency analysis (TFA) is crucial for understanding local seismic signal properties.
  • Short-time Fourier transform (STFT) is widely used for non-stationary geophysical signal analysis.
  • Existing TFA methods face challenges in energy concentration and noise robustness.

Purpose of the Study:

  • Introduce a novel time-frequency method, FMSST2, for seismic data analysis.
  • Enhance energy concentration and noise robustness in seismic signal processing.
  • Improve the characterization of hydrocarbon reservoirs using advanced TFA.

Main Methods:

  • Developed FMSST2, integrating multisynchrosqueezing with a second-order signal model.
  • Employed an iterative reassignment procedure for improved time-frequency mapping.
  • Validated FMSST2 using synthetic examples and field data.

Main Results:

  • FMSST2 demonstrates superior energy concentration compared to STFT, FSST, and MSST.
  • The method exhibits enhanced robustness against noise in seismic data.
  • Accurate signal reconstruction is achieved with the FMSST2 technique.

Conclusions:

  • FMSST2 offers significant improvements in time-frequency resolution for seismic data.
  • The method shows strong potential for hydrocarbon reservoir characterization.
  • FMSST2 represents a promising advancement in seismic data analysis tools.