3-D time-domain Gauss–Newton full waveform inversion for near-surface site characterization
3-D time-domain Gauss–Newton full waveform inversion for near-surface site characterization
复制标题
用于近地表站点表征的 3D 时域高斯牛顿全波形反演
DOI:
10.1093/gji/ggz020
复制
发表时间:
2019
影响因子:
2.8
通讯作者:
Horhota, David
中科院分区:
文献类型:
--
作者:
Tran, Khiem T;Mirzanejad, Majid;McVay, Michael;Horhota, David
We present a new 3-D time-domain Gauss–Newton full waveform inversion (3-D FWI) method for near-surface site characterization. The method is based on a solution of 3-D elastic wave equations for forward modelling of wave propagation, and Gauss–Newton inversion approach for model updating to extract material property. Both the forward modelling and model updating are conducted in the time domain, which allows exploiting complete waveform information of multiple frequencies simultaneously for detailed subsurface material properties. Based on virtual sources and reciprocal wavefields, an efficient approach is developed to calculate derivative seismograms (Jacobian matrix) for all cells simultaneously. The capability of the presented FWI method is tested on both synthetic and field experimental data sets. Sensors and sources located in uniform 2-D grids on the ground surface are used to acquire seismic wavefields, which are then inverted for extraction of 3-D subsurface wave velocity structures. The results show that the waveform analysis was able to characterize low- and high-velocity synthetic layers, and variable soil/rock layers of the test site. TheS-wave velocity (Vs) profiles from field experiment generally agree with invasive standard penetration test (SPT)N-values, including identification of a low-velocity zone.Vsprofiles obtained from a cross-adjoint 3-D FWI are also included for comparison, and results from the presented Gauss–Newton inversion are more consistent with the SPTN-values in both trend and magnitudes.
影响因子:
3.3
作者:
W. Pan;K. Innanen;G. Margrave;D. Cao
通讯作者:
W. Pan;K. Innanen;G. Margrave;D. Cao
影响因子:
4
作者:
K. Tran;B. Luke
通讯作者:
B. Luke
影响因子:
3.3
作者:
Warner, Michael;Ratcliffe, Andrew;Bertrand, Alexandre
通讯作者:
Bertrand, Alexandre