Applied Geophysics

, Volume 14, Issue 2, pp 236–246 | Cite as

Improving the resolution of seismic traces based on the secondary time–frequency spectrum

  • De-Ying Wang
  • Jian-Ping Huang
  • Xue Kong
  • Zhen-Chun Li
  • Jiao Wang
Article

Abstract

The resolution of seismic data is critical to seismic data processing and the subsequent interpretation of fine structures. In conventional resolution improvement methods, the seismic data is assumed stationary and the noise level not changes with space, whereas the actual situation does not satisfy this assumption, so that results after resolution improvement processing is not up to the expected effect. To solve these problems, we propose a seismic resolution improvement method based on the secondary time–frequency spectrum. First, we propose the secondary time-frequency spectrum based on S transform (ST) and discuss the reflection coefficient sequence and time-dependent wavelet in the secondary time–frequency spectrum. Second, using the secondary time–frequency spectrum, we design a twodimensional filter to extract the amplitude spectrum of the time-dependent wavelet. Then, we discuss the improvement of the resolution operator in noisy environments and propose a novel approach for determining the broad frequency range of the resolution operator in the time–frequency–space domain. Finally, we apply the proposed method to synthetic and real data and compare the results of the traditional spectrum-modeling deconvolution and Q compensation method. The results suggest that the proposed method does not need to estimate the Q value and the resolution is not limited by the bandwidth of the source. Thus, the resolution of the seismic data is improved sufficiently based on the signal-to-noise ratio (SNR).

Keywords

resolution S transform time–frequency spectrum time-variant wavelet spectrum-modeling deconvolution Q compensation 

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Notes

Acknowledgments

We are grateful to the seismic wave propagation and imaging research group at the Department of Geophysics, China University of Petroleum (East China) for help. We would like to thank Prof. Wang Yan-Chun, Prof. Tong Si-You, and Prof. Xu Xiu-Gang for constructive criticism.

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Copyright information

© Editorial Office of Applied Geophysics and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • De-Ying Wang
    • 1
    • 2
    • 3
  • Jian-Ping Huang
    • 1
  • Xue Kong
    • 4
  • Zhen-Chun Li
    • 1
  • Jiao Wang
    • 1
  1. 1.College of GeosciencesChina University of PetroleumQingdaoChina
  2. 2.Post-Doctoral Scientific Research Station, BGPCNPCZhuozhouChina
  3. 3.College of Earth Science and EngineeringShandong University of Science and TechnologyQingdaoChina
  4. 4.College of Petroleum Engineering Shengli College China University of PetroleumDongyingChina

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