Multi-scale full waveform inversion method based on gradient preprocessing
In seismic exploration,the full-waveform inversion method can fully utilize the dynamics and kinematics information in the seismic data to invert the parameters of the subsurface medium with high accuracy.However,due to the high degree of nonlinearity of full-waveform inversion,it is easy to converge to the local minima in the inversion process.And with the increase of depth,the inversion effect in the deep region is not good.Therefore,this paper firstly adopts the multi-scale strategy;with the increase of iteration number,the seismic data required for inversion gradually increases from low frequency to high frequency,and this strategy can effectively reduce the strong nonlinearity of the full-waveform inversion.And the proposed gradient preprocessing method based on seismic wave amplitude proves the correctness and effectiveness of the method through model testing,which can improve the deep energy,thus improving the inversion effect in the deep region.
Full waveform inversionMulti-scale strategyGradient preprocessingVelocity modeling
NETL
NSTL
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