Год издания: 2016

The paper develops a reliable numerical method to solve inverse dynamical problem of seismic waves' propagation on the base of nonlinear least squares formulation which is widely known as Full Waveform Inversion (FWI). The key issue on this way is correct reconstruction of macrovelocity component of the model with input seismic data without time frequencies less than 5 - 7 Hz and reasonable source - recievers offsets. To provide correct macrovelocity reconstruction we modify regular nonlinear least squares formulation used in standard versions of FWI by decomposing the model space into two subspaces We present results of comparative analysis of numerical Singular Value Decompositions for both cost functions which reveal much more sensititve of the modified one with respect to the perturbation of a space of propagators. We use the modified cost function to do the FWI for well known Marmoussi2 dataset. The numerical results are presented and discussed.