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Scale-Aware Edge-Preserving Full Waveform Inversion with Diffusion Filter for Crosshole Sensor Arrays.

Jixin Yang1,2, Xiao He1,2, Hao Chen1,2

  • 1State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China.

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|May 11, 2024
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Summary
This summary is machine-generated.

Full waveform inversion (FWI) noise is reduced by the new scale-aware edge-preserving FWI (SAEP-FWI) method. This technique enhances subsurface imaging accuracy by preserving critical small-scale structures and edges in crosshole surveys.

Keywords:
coherence enhancing diffusioncrosshole surveyedge enhancing diffusionfull waveform inversionnonlinear anisotropic hybrid diffusion filerscale-aware edge-preserving

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Area of Science:

  • Geophysics
  • Seismic Imaging
  • Inversion Techniques

Background:

  • Full waveform inversion (FWI) is crucial for high-resolution velocity models in crosshole surveys.
  • FWI's sensitivity to noise and nonlinearity can compromise inversion accuracy.
  • Existing methods struggle with preserving small-scale features and edges.

Purpose of the Study:

  • Introduce a novel FWI technique to overcome limitations of traditional methods.
  • Enhance the fidelity and convergence of inversion models.
  • Improve the accuracy and quality of subsurface imaging.

Main Methods:

  • Developed scale-aware edge-preserving FWI (SAEP-FWI).
  • Integrated a nonlinear anisotropic hybrid diffusion (NAHD) filter into gradient computation.
  • Applied SAEP-FWI to experimental and authentic crosshole datasets.

Main Results:

  • SAEP-FWI effectively suppresses noise while preserving scale-aware and edge features.
  • Demonstrated improved fidelity and convergence in inversion results.
  • Achieved higher quality subsurface images compared to other FWI methods.

Conclusions:

  • SAEP-FWI offers a robust solution for accurate subsurface imaging.
  • The NAHD filter significantly enhances the performance of FWI.
  • The technique leads to clearer and more reliable inversion outcomes for crosshole surveys.