Applied Geophysics

, Volume 14, Issue 3, pp 399–405 | Cite as

Diffraction separation by plane-wave prediction filtering

  • Xue Kong
  • De-Ying Wang
  • Zhen-Chun Li
  • Rui-Xiang Zhang
  • Qiu-Yuan Hu
Signal processing/denoising
  • 28 Downloads

Abstract

Seismic data processing typically deals with seismic wave reflections and neglects wave diffraction that affect the resolution. As a general rule, wave diffractions are treated as noise in seismic data processing. However, wave diffractions generally originate from geological structures, such as fractures, karst caves, and faults. The wave diffraction energy is much weaker than that of the reflections. Therefore, even if wave diffractions can be traced back to their origin, their energy is masked by that of the reflections. Separating and imaging diffractions and reflections can improve the imaging accuracy of diffractive targets. Based on the geometrical differences between reflections and diffractions on the plane-wave record; that is, reflections are quasi-linear and diffractions are quasi-hyperbolic, we use plane-wave prediction filtering to separate the wave diffractions. First, we estimate the local slope of the seismic event using planewave destruction filtering and, then, we predict and extract the wave reflections based on the local slope. Thus, we obtain the diffracted wavefield by directly subtracting the reflected wavefield from the entire wavefield. Finally, we image the diffracted wavefield and obtain high-resolution diffractive target results. 2D SEG salt model data suggest that the plane-wave prediction filtering eliminates the phase reversal in the plane-wave destruction filtering and maintains the original wavefield phase, improving the accuracy of imaging heterogeneous objects.

Keywords

Plane wave prediction filter separation diffraction 

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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 their support. We also thank the reviewers for constructive criticism as well as the chief editor Fan Wei-Cui.

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Copyright information

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

Authors and Affiliations

  • Xue Kong
    • 1
  • De-Ying Wang
    • 2
  • Zhen-Chun Li
    • 3
  • Rui-Xiang Zhang
    • 1
  • Qiu-Yuan Hu
    • 1
  1. 1.College of Petroleum Engineering, Shengli CollegeChina University of PetroleumDongyingChina
  2. 2.College of Earth Science and EngineeringShandong University of Science and TechnologyQingdaoChina
  3. 3.School of GeosciencesChina University of Petroleum (Hua Dong)QingdaoChina

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