Abstract：The full waveform inversion (FWI) based on prestack seismic wavefield fitting is facing a few challenges in the application,for instances,low signal-to-noise ratio (SNR) land seismic data,missing low frequency information,complicated near-surface,and huge memory needed for massive 3D seismic data processing.In terms of low-precision land seismic migrations,we propose in this paper a velocity model building method by Gaussian Beam tomography,which not only makes up medium wave-number components unachievable in conventional methods based on ray tracing tomography but also provides FWI with a high precise macroscopic velocity model that helps to avoid effectively cycle skips.Besides,in order to reduce the dependency of inversion on low frequencies,we replace the L2 norm with a cross-correlation function based on phase matching,which figures out validly the problem of intensive computing of FWI.Furthermore,with a self-adjoint forward operator from pseudo-conservative wave equations,the gradient computing capacity based on an adjoint-state method is enhanced dramatically,which improves the inversion adaptation and realizes a high-resolution velocity model building for land seismic data.
刘定进, 胡光辉, 蔡杰雄, 倪瑶, 何兵红. 高斯束层析与全波形反演联合速度建模[J]. 石油地球物理勘探, 2019, 54(5): 1046-1056.
LIU Dingjin, HU Guanghui, CAI Jiexiong, NI Yao, HE Binghong. A joint velocity model building method with Gaussian beam tomography and full waveform inversion for land seismic data. Oil Geophysical Prospecting, 2019, 54(5): 1046-1056.
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