Reflection-based traveltime and waveform inversion with second-order optimization  

作　　者：Teng-Fei Wang Jiu-Bing Cheng Jian-Hua Geng 

机构地区：[1]State Key Laboratory of Marine Geology,Tongji University,Shanghai,200092,China [2]School of Ocean and Earth Science,Tongji University,Shanghai,200092,China

出　　处：《Petroleum Science》2022年第4期1582-1591,共10页石油科学（英文版）

基　　金：supported by National Natural Science Foundation of China (42074157);the National Key Research and Development Program of China (2018YFC0310104);the Strategic Priority Research Program of the Chinese Academy of Science(XDA14010203)。

摘　　要：Reflection-based inversion that aims to reconstruct the low-to-intermediate wavenumbers of the subsurface model, can be a complementary to refraction-data-driven full-waveform inversion(FWI), especially for the deep target area where diving waves cannot be acquired at the surface. Nevertheless, as a typical nonlinear inverse problem, reflection waveform inversion may easily suffer from the cycleskipping issue and have a slow convergence rate, if gradient-based first-order optimization methods are used. To improve the accuracy and convergence rate, we introduce the Hessian operator into reflection traveltime inversion(RTI) and reflection waveform inversion(RWI) in the framework of second-order optimization. A practical two-stage workflow is proposed to build the velocity model, in which Gauss-Newton RTI is first applied to mitigate the cycle-skipping problem and then Gauss-Newton RWI is employed to enhance the model resolution. To make the Gauss-Newton iterations more efficiently and robustly for large-scale applications, we introduce proper preconditioning for the Hessian matrix and design appropriate strategies to reduce the computational costs. The example of a real dataset from East China Sea demonstrates that the cascaded Hessian-based RTI and RWI have good potential to improve velocity model building and seismic imaging, especially for the deep targets.

关 键 词：Reflection waveform inversion Reflection traveltime inversion Gauss-Newton HESSIAN 

分 类 号：P631.4[天文地球—地质矿产勘探]