Abstract：Conventional full waveform inversion often suffers from cycle skipping. In order to solve this problem, we propose a time-domain full waveform inversion based on least square filter. First we apply the least square filter in the preprocessing stage for full waveform inversion and construct a new objective function to make the inversion process toward global minimum point. This approach effectively avoids the problem so that the inversion process gets into local minima. Experimental results show that this full waveform inversion based on least square filter can better reconstruct velocity model, especially for deep layers and large offsets. The new objective function can stably descent and greatly reduces the possibility of suffering from cycle skipping.
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