We present a stochastic full-waveform inversion that makes use of a genetic algorithm to estimate acoustic 2D macromodels of the subsurface. We test this method on the Marmousi model. The proposed method is computationally expensive but yields a final (long wavelength) model that is well-suited to play the role of the starting model for a local full-waveform inversion.
Estimation of velocity macro-models using stochastic full-waveform inversion
SAJEVA, ANGELO;ALEARDI, MATTIA;MAZZOTTI, ALFREDO;N. Bienati;
2014-01-01
Abstract
We present a stochastic full-waveform inversion that makes use of a genetic algorithm to estimate acoustic 2D macromodels of the subsurface. We test this method on the Marmousi model. The proposed method is computationally expensive but yields a final (long wavelength) model that is well-suited to play the role of the starting model for a local full-waveform inversion.File in questo prodotto:
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SEG 2014 Stochastic FWI.pdf
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