TY - GEN
T1 - IMPROVING ADAPTIVE WAVEFORM INVERSION BY LOCAL MATCHING FILTER
AU - Yong, P.
AU - Brossier, R.
AU - Métivier, L.
AU - Li, Y.
AU - He, W.
AU - Virieux, J.
N1 - Publisher Copyright:
Copyright© (2021) by the European Association of Geoscientists & Engineers (EAGE) All rights reserved.
PY - 2021
Y1 - 2021
N2 - The adaptive waveform inversion uses a convolutional matching filter to implicitly estimate time shift between observed and predicted data, which can mitigate local minima issue in seismic waveform inversion. Considering the non-stationarity of exploration seismic data, we propose using nonstationary convolutional model to compute the matching filter, which can better estimate time shift using locally coherent events. Gabor transform is applied to efficiently compute the local matching filter. Numerical examples confirm that our approach can further improve the performance of adaptive waveform inversion in dealing with cycle skipping problem.
AB - The adaptive waveform inversion uses a convolutional matching filter to implicitly estimate time shift between observed and predicted data, which can mitigate local minima issue in seismic waveform inversion. Considering the non-stationarity of exploration seismic data, we propose using nonstationary convolutional model to compute the matching filter, which can better estimate time shift using locally coherent events. Gabor transform is applied to efficiently compute the local matching filter. Numerical examples confirm that our approach can further improve the performance of adaptive waveform inversion in dealing with cycle skipping problem.
UR - https://www.scopus.com/pages/publications/85127737239
M3 - 会议稿件
AN - SCOPUS:85127737239
T3 - 82nd EAGE Conference and Exhibition 2021
SP - 4688
EP - 4692
BT - 82nd EAGE Conference and Exhibition 2021
PB - European Association of Geoscientists and Engineers, EAGE
T2 - 82nd EAGE Conference and Exhibition 2021
Y2 - 18 October 2021 through 21 October 2021
ER -