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An algorithm for successive identification of reflections.

K V Hansen1, J Larsen

  • 1Odegaard and Danneskiold-Samsoe ApS, Copenhagen.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1994
PubMed
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A novel algorithm enhances seismic reflection identification by matching curves in seismic signal images. This method combines multipulse techniques and generalized Radon transforms for accurate wavelet identification and reflection parameter estimation.

Area of Science:

  • Geophysics
  • Seismic data processing

Background:

  • Seismic reflection identification is crucial for subsurface imaging.
  • Existing methods may lack accuracy in complex geological structures.

Purpose of the Study:

  • To propose a new algorithm for successive seismic reflection identification.
  • To improve the accuracy of reflection parameter and coefficient estimation.

Main Methods:

  • Curve matching on seismic signal images.
  • Combining multipulse technique for wavelet identification per trace.
  • Utilizing generalized Radon transform for inter-trace wavelet coordination.

Main Results:

  • Successfully applied to synthetic and real CMP gathers.

Related Experiment Videos

  • Developed a stop criterion for insignificant reflection estimation.
  • Implemented a reflection validation procedure for curve shape adherence.

    • Conclusions:

    • The proposed algorithm offers a robust approach to seismic reflection identification.
    • Effective for both synthetic and real-world seismic data.
    • Requires an initial wavelet estimate for optimal performance.