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Related Experiment Videos

Equivalence of the virtual-source method and wave-field deconvolution in seismic interferometry.

Roel Snieder1, Jon Sheiman, Rodney Calvert

  • 1Center for Wave Phenomena and Department of Geophysics, Colorado School of Mines, Golden, Colorado 80401, USA. rsnieder@mines.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 16, 2006
PubMed
Summary

Seismic interferometry and virtual-source methods extract wave propagation Green's functions by combining receiver data. This deconvolution approach reveals system responses under varied boundary conditions, useful for seismic exploration and structural analysis.

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Area of Science:

  • Geophysics
  • Seismology
  • Wave Propagation

Background:

  • Seismic interferometry and virtual-source methods are techniques to extract Green's functions.
  • These methods combine wave data recorded at receivers, excited by active or natural sources.
  • The study compares these methods with wave field deconvolution.

Purpose of the Study:

  • To compare seismic interferometry/virtual-source methods with wave field deconvolution.
  • To demonstrate how deconvolution can extract system responses under different boundary conditions.
  • To explore applications in structural analysis and seismic exploration.

Main Methods:

  • Combining wave fields recorded at multiple receivers.
  • Applying deconvolution to recorded wave motion.

Related Experiment Videos

  • Analyzing wave motion within a building after an earthquake.

    • Main Results:

    • Deconvolved wave fields satisfy the same wave equation but may have different boundary conditions.
    • The deconvolution approach allows extraction of building response for various boundary conditions.
    • This method can enhance or suppress normal-mode responses and suppress multiples in seismic exploration.

    Conclusions:

    • Wave field deconvolution offers a flexible way to analyze system responses.
    • The technique has practical applications in understanding structural dynamics and improving seismic data quality.
    • Boundary condition manipulation via deconvolution is a key finding.