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Area of Science:

  • Geophysics
  • Seismic Imaging
  • Acoustics

Background:

  • Full-waveform inversion (FWI) is a powerful seismic imaging technique.
  • Traditional FWI often models transducer elements as point sources, leading to artifacts like staircasing.
  • Accurate modeling of transducer element geometry is crucial for high-resolution seismic data.

Purpose of the Study:

  • To integrate the spatial shapes of transducer elements into the full-waveform inversion framework.
  • To overcome limitations of point-source approximations in FWI.
  • To enhance the accuracy and stability of seismic imaging reconstructions.

Main Methods:

  • Transducer elements are modeled as line segments (cross-sections in the 2D imaging plane).
  • The Fourier collocation method is used to represent element shapes via discrete convolution.
  • Excitation and recorded signals are weighted based on spatial distribution, avoiding staircasing artifacts.

Main Results:

  • Reduced root mean square errors in reconstructed images.
  • Increased structural similarity of the inverted images.
  • Improved stability and accelerated convergence speed of the inversion process.

Conclusions:

  • Modeling transducer element shapes is beneficial when element size approaches acoustic wavelengths.
  • The proposed method enhances the fidelity and efficiency of full-waveform inversion.
  • This approach offers a more robust solution for seismic imaging challenges.