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

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.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11568/632464
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