进行翻译：声学假设忽略了弹性效应导致的P波能量的损耗。这意味着相比于弹性假设相同大小的模型扰动在声学假设下产生了更强的波形扰动。因此AFWI在只对模型进行了少量的更新就使得波形幅值与实际数据相接近。这导致迭代提取停止在错误的位置。相较于此基于弹性假设的EAFWI很好地矫正了这一问题。

The acoustic assumption neglects the energy loss of P-wave caused by elastic effects. This means that, compared to the elastic assumption, the same size of model perturbation generates stronger waveform perturbation under the acoustic assumption. Therefore, AFWI can achieve waveform amplitude approximation with actual data with only a small amount of updates to the model. This leads to the iteration extraction stopping at the wrong location. In contrast, EAFWI based on the elastic assumption effectively corrects this problem.