Abstract：In view of the non-linearity and multi-solution of the full waveform inversion,the inversion solution is easy to fall into local minimum.In the case of low frequency loss,conventional waveform inversions are weak to recover low frequency information,and the waveform inversion leads massive calculations.On one hand the multi-scales can reduce the dependency of the waveform inversion on the low-frequency information,so that the inversion solution is not easy to fall into the local minimum.On the other hand the multi-grids can reduce the cost calculation.We adopt the gradient optimization in the multi-grid and multi-scale waveform inversion to improve the inversion accuracy.Model tests show that the multi-grid and multi-scale waveform inversion can not only reduce the computational complexity,but also avoid local minimum.The proposed gradient optimization can effectively improve the inversion accuracy.
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