In this study, we propose a regularized time-domain Full Waveform Inversion (FWI) scheme based on a two-term model penalty in the misfit definition: the Tikhonov term to ensure smoothness and a prior model term to attract the inversion toward a given direction. We illustrate that the prior model could reduce the sensitivity of inversion with respect to a non-accurate initial model. This procedure delivers a robust model as compared to ''classical'' FWI and can help inversion to solve the cycle-skipping problem. In the Marmousi dataset application, an investigation was done to identify the respective influences of initial model and prior model in complex media. Finally, we propose a simple dynamic approach based on a first derivative of the objective function curve to take out gradually the effect of the prior model in the inversion scheme, once the cycle-skipping problem has been solved.


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