Velocity Construction Using Active and Passive Multi-Component Seismic Data Based On Elastic Full Waveform Inversion

Passive seismic data contain sufficient effective information about the subsurface media, and they have some special advantages that active seismic data do not have. The active source is always band-limited and lacks low-frequency information, but the passive source often contains abundant low-frequency information. However, there are some difficulties when using passive seismic data for full waveform inversion, especially source location uncertainty and source wavelet unknown. In this paper, we proposed a successive inversion strategy using elastic passive and active multi-component seismic data, and tried to construct the subsurface P-wave velocity and S-wave velocity with high accuracy. First, we reconstructed the original multi-component passive seismic data into virtual source data with different source modes. That will solve the problem of passive source location uncertainty. Then we proposed an elastic source-independent full waveform inversion method using reconstructed virtual source data, which will eliminate the influence of virtual source wavelet on the inversion result. Finally, we conduct active source elastic full waveform inversion using the passive inversion results as initial model. The numerical example shows that our method can provide both accurate background velocity and good detailed information.