1887

Abstract

Summary

Complex geological bodies, thin layers and small-scale reservoirs have become hot topics in exploration and development. Therefore, there is a great need to improve the time-frequency resolution of seismic data. Wavelet transform has adjustable time-frequency resolution, but high resolution cannot be achieved both in time and frequency domains due to the Heisenberg uncertainty principle. The second-order wavelet synchrosqueezing transform has a very high time-frequency resolution and can focus the time-frequency energy on the time-frequency ridge, even for the strong amplitude and frequency modulations. In this abstract, we apply it to identify reservoir boundaries in seismic processing. The frequency profiles and time slices of actual data prove that this method is very effective.

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/content/papers/10.3997/2214-4609.201901163
2019-06-03
2024-04-25
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References

  1. DaubechiesI, LuJ, WuH T.
    2011. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool[J]. Applied and computational harmonic analysis, 30(2): 243–261.
    [Google Scholar]
  2. OberlinT, MeignenS, PerrierV
    . 2015. Second-Order Synchrosqueezing Transform or Invertible Reassignment? Towards Ideal Time-Frequency Representations[J]. IEEE Trans. Signal Processing, 63(5): 1335–1344.
    [Google Scholar]
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