Time-Frequency Domain Deconvolution based on Synchrosqueezing Generalized S Transform

Authors

  • Shulin Zheng  School of Communication Engineering, Chengdu University of Information Technology, Chengdu, Sichuan, China
  • Zijun Shen  School of Communication Engineering, Chengdu University of Information Technology, Chengdu, Sichuan, China

DOI:

https://doi.org/10.32628/IJSRSET218233

Keywords:

Synchrosqueezing Generalized S Transform, Time Frequency Analysis, Dynamic Deconvolution

Abstract

Complex geological characteristics and deepening of the mining depth are the difficulties of oil and gas exploration at this stage, so high-resolution processing of seismic data is needed to obtain more effective information. Starting from the time-frequency analysis method, we propose a time-frequency domain dynamic deconvolution based on the Synchrosqueezing generalized S transform (SSGST). Combined with spectrum simulation to estimate the wavelet amplitude spectrum, the dynamic convolution model is used to eliminate the influence of dynamic wavelet on seismic records, and the seismic signal with higher time-frequency resolution can be obtained. Through the verification of synthetic signals and actual signals, it is concluded that the time-frequency domain dynamic deconvolution based on the SSGST algorithm has a good effect in improving the resolution and vertical resolution of the thin layer of seismic data.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2021-04-30

Issue

Volume 8, Issue 2, November-December-2021

Section

Research Articles

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How to Cite

[1]
Shulin Zheng, Zijun Shen "Time-Frequency Domain Deconvolution based on Synchrosqueezing Generalized S Transform" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 2, pp.148-155, November-December-2021. Available at doi : https://doi.org/10.32628/IJSRSET218233