||Computational analysis of extended full waveform inversion||
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Computational analysis of extended full waveform inversion
I compare the computational cost of conventional full-waveform inversion to the extended full-waveform inversion in both space and time. These model space extensions provide accurate results but increase the cost drastically. I also compare the cost of the nonlinear inversion to linearized inversion by scale-separation. I then propose extending the inversion in data space where there are more underlying assumptions but whose cost competes with the conventional inversion. I test extending the inversion by source ray parameter on the Marmousi model. The results of the synthetic tests show that convergence is possible even with large errors in the initial model which would have prevented convergence of conventional full-waveform inversion.