What question did this study set out to answer?

To resolve the convergence failures of iterative seismic waveform inversion in complex geological models caused by ubiquitous local minima in the objective function.

October 1, 1995Geophysics

Multiscale seismic waveform inversion

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Authors

CBCarey BunksQueen Mary University of London FSFatimetou M. SaleckTotal (France)SZStéphane ZaleskiCentre National de la Recherche Scientifique

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Implication

Computational study demonstrates improved convergence in complex earth models using scale decomposition, indicating substantial computational savings for three-dimensional seismic inversion.

Key Points

To resolve the convergence failures of iterative seismic waveform inversion in complex geological models caused by ubiquitous local minima in the objective function.
Decomposed the inversion problem across multiple scales using a multigrid technique to isolate long-wavelength features.
Applied the multiscale algorithm to a subsampled, low-frequency synthetic dataset derived from the Marmousi model.
Scale decomposition enabled iterative methods to converge closer to the global minimum by substantially reducing the number and proximity of local minima at long scales.
The multigrid formulation significantly decreased overall computational workload compared to standard single-scale iterative approaches.

Cite This Study

Bunks et al. (1995) studied this question.

synapsesocial.com/papers/69dd4c8f7808b00a4799c68a https://doi.org/10.1190/1.1443880

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Implication

Computational study demonstrates improved convergence in complex earth models using scale decomposition, indicating substantial computational savings for three-dimensional seismic inversion.

Multiscale seismic waveform inversion

Discussion

Member takes

Implication

Key Points

Cite This Study

Multiscale seismic waveform inversion

Discussion

Member takes

Implication

Key Points

Cite This Study

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