Full waveform inversion( FWI) is an effective tool for constructing high resolution velocity models,but it is affected by a local minima problem. Without long offsets and low frequency data,it is difficult to apply th...Full waveform inversion( FWI) is an effective tool for constructing high resolution velocity models,but it is affected by a local minima problem. Without long offsets and low frequency data,it is difficult to apply the conventional multi-scale FWI to actual seismic data. In this study,the large offset and low frequency information are provided by the method of wavelet packet envelope for the conventional FWI. The gradient can be computed efficiently with the adjoint state method without any additional computational cost. Marmousi synthetic data is used to illustrate that,compared with Hilbert envelope-based FWI,wavelet packet envelope FWI can provide an adequately accurate model for the conventional FWI approach even when the initial model is far from the true model and the low-frequency data are missing.展开更多
基金Supported by Project of National Natural Science Foundation of China(41674124)National Key Research and Development Program of China(2016YFC0600301)
文摘Full waveform inversion( FWI) is an effective tool for constructing high resolution velocity models,but it is affected by a local minima problem. Without long offsets and low frequency data,it is difficult to apply the conventional multi-scale FWI to actual seismic data. In this study,the large offset and low frequency information are provided by the method of wavelet packet envelope for the conventional FWI. The gradient can be computed efficiently with the adjoint state method without any additional computational cost. Marmousi synthetic data is used to illustrate that,compared with Hilbert envelope-based FWI,wavelet packet envelope FWI can provide an adequately accurate model for the conventional FWI approach even when the initial model is far from the true model and the low-frequency data are missing.
