A Stable Q Compensated Reverse Time Migration Method Based on Excitation Amplitude Imaging Condition

作     者：Qingqing Li Li-Yun Fu Weijia Sun Wei Wei Wanting Hou 

作者机构：School of GeosciencesChina University of PetroleumShandong 266555China Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China 

出 版 物：《Communications in Computational Physics》 (计算物理通讯（英文）)

年 卷 期：2020年第28卷第6期

页      面：141-166页

核心收录：

学科分类：070801[理学-固体地球物理学] 07[理学] 0708[理学-地球物理学] 

基　　金：supported by the Strategic Research Program of the Chinese Academy of Sciences(grant no.XDA14010303) National Natural Science Foundation of China(grant no.41930429,41804123) 

主　　题：Stable reverse time migration attenuation 

摘      要：The stability and efficiency,especially the stability,are generally concerned issues in Q compensated reverse time migration(Q-RTM).The instability occurs because of the exponentially boosted high frequency ambient noise during the forward or backward seismic wavefield *** regularization and low-pass filtering methods are two effective strategies to control the instability of the wave propagation in ***,the regularization parameters are determined experimentally,and the wavefield cannot be recovered *** low-pass filtering method cannot balance the selection of cutoff frequency for varying Q values,and may damage the effective signals,especially when the signal-to-noise ratio(SNR)of the seismic data is low,the Q-RTM will be a highly unstable *** order to achieve the purpose of stability,the selection of cutoff frequency will be small enough,which can cause great damage to the effective high frequency *** this paper,we present a sta-ble Q-RTM algorithm based on the excitation amplitude imaging condition,which can compensate both the amplitude attenuation and phase *** the existing Q-RTM algorithms enlarging the amplitude,the exponentially attenuated seismic wavefield will be used during both the forward and backward wavefield propagation of ***,the new Q-RTM algorithm is relative stable,even for the low SNR seismic *** order to show the accuracy and stability of our stable Q-RTM algorithm clearly,an example based on Graben model will be ***,a realistic BP gas chimney model further demonstrates that the proposed method enjoys good stability and anti-noise performance compared with the traditional Q-RTM with amplitude *** the Q-RTM images of these two models to the reference images obtained by the acoustic RTM with acoustic seismic data,the new Q-RTM results match the reference images quite *** proposed method is also tested using a field seismic data,the res