Abstract: The invention relates to a computer-implemented method for generating an image of a subsurface of an area of interest from seismic data. The method comprises providing seismic wavefields, providing a zero-offset seismic wavefield dataset, determining a seismic velocity parameter model w(x) comprising an initial model w0(x), a low frequency perturbation term ?mb(x) and a high frequency perturbation term ?mr(x), determining an optimal seismic velocity parameter model wopt(x) by computing a plurality of iterations, each iteration comprising calculating and optimizing a cost function, said cost function being dependent on the zero-offset seismic wavefield and on the low frequency perturbation term ?mb(x) as a parameter in the optimization of the cost function, the high frequency perturbation term ?mr(x) being related to the velocity parameter model w(x) to keep the provided zero-offset seismic wavefield data invariant with respect to the low frequency perturbation term ?mb(x).

Abstract: The invention relates to a computer-implemented method for generating an image of a subsurface of an area of interest from seismic data. The method comprises providing seismic wavefields, providing a zero-offset seismic wavefield dataset, determining a seismic velocity parameter model w(x) comprising an initial model w0(x), a low frequency perturbation term ?mb (x) and a high frequency perturbation term ?mr(x), determining an optimal seismic velocity parameter model wopt(x) by computing a plurality of iterations, each iteration comprising calculating and optimizing a cost function, said cost function being dependent on the zero-offset seismic wavefield and on the low frequency perturbation term ?mb(x) as a parameter in the optimization of the cost function, the high frequency perturbation term ?mr(x) being related to the velocity parameter model w(x) to keep the provided zero-offset seismic wavefield data invariant with respect to the low frequency perturbation term ?mb(x).