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Seismic inversion with L2,0-norm joint-sparse constraint on multi-trace impedance model.

Ronghuo Dai1, Jun Yang2,3

  • 1School of Mathematics and Information, China West Normal University, Nanchong, Sichuan Province, People's Republic of China. daironghuo@yeah.net.

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|December 17, 2022
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Summary
This summary is machine-generated.

This study introduces a novel multi-trace impedance inversion method using L2,0-norm regularization. The technique enhances lateral stability and resolution in seismic reservoir prediction.

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Area of Science:

  • Geophysics
  • Seismic Data Processing
  • Reservoir Characterization

Background:

  • Impedance inversion of post-stack seismic data is crucial for reservoir prediction.
  • Multi-trace impedance inversion offers advantages over single-trace methods, particularly in lateral stability and resolution.
  • Existing methods often use conventional sparse constraints.

Purpose of the Study:

  • To propose and evaluate a novel multi-trace impedance inversion method utilizing L2,0-norm regularization.
  • To enhance lateral stability and resolution in impedance inversion for reservoir characterization.
  • To demonstrate the efficacy of the L2,0-norm constraint compared to conventional sparse constraints.

Main Methods:

  • Developed a multi-trace impedance inversion incorporating L2,0-norm as a joint-sparse regularization constraint.
  • The L2,0-norm measures both vertical sparsity (L0-norm) and lateral continuity (L2-norm).
  • Employed a split Bregman iteration strategy to solve the constrained objective function.

Main Results:

  • The proposed L2,0-norm constrained inversion demonstrated improved lateral stability and resolution.
  • Testing on a 2D numerical model and real seismic data validated the method's performance.
  • Results show superior impedance inversion compared to conventional sparse constraint methods.

Conclusions:

  • The L2,0-norm regularization is effective for multi-trace impedance inversion.
  • This method significantly enhances lateral stability and resolution in seismic reservoir characterization.
  • The proposed approach offers a valuable advancement for geophysical exploration and reservoir analysis.