An adaptive finite-difference method for seismic traveltime modeling based on 3D eikonal equation

作     者：Bao-Ping Qiao Qing-Qing Li Wei-Guang He Dan Zhao Qu-Bo Wu Bao-Ping Qiao;Qing-Qing Li;Wei-Guang He;Dan Zhao;Qu-Bo Wu

作者机构：CNNC Beijing Research Institute of Uranium GeologyBeijing 100029China National Key Laboratory of Deep Oil and GasChina University of Petroleum(East China)Qingdao 266580ShangdongChina SINOPEC Geophysical Research InstituteNanjing211103JiangsuChina 

出 版 物：《Petroleum Science》 (石油科学（英文版）)

年 卷 期：2024年第21卷第1期

页      面：195-205页

核心收录：

学科分类：0820[工学-石油与天然气工程] 081801[工学-矿产普查与勘探] 081802[工学-地球探测与信息技术] 08[工学] 0818[工学-地质资源与地质工程] 

基　　金：The authors thank the funds supported by the China National Nuclear Corporation under Grants Nos.WUQNYC2101 and WUHTLM2101-04 National Natural Science Foundation of China(42074132,42274154) 

主　　题：3D eikonal equation Accurate traveltimes Global fast sweeping 3D inhomogeneous media Adaptive finite-difference method 

摘      要：3D eikonal equation is a partial differential equation for the calculation of first-arrival traveltimes and has been widely applied in many scopes such as ray tracing,source localization,reflection migration,seismic monitoring and tomographic *** recent years,many advanced methods have been developed to solve the 3D eikonal equation in heterogeneous ***,there are still challenges for the stable and accurate calculation of first-arrival traveltimes in 3D strongly inhomogeneous *** this paper,we propose an adaptive finite-difference(AFD)method to numerically solve the 3D eikonal *** novel method makes full use of the advantages of different local operators characterizing different seismic wave types to calculate factors and traveltimes,and then the most accurate factor and traveltime are adaptively selected for the convergent updating based on the Fermat *** with global fast sweeping describing seismic waves propagating along eight directions in 3D media,our novel method can achieve the robust calculation of first-arrival traveltimes with high precision at grid points either near source point or far away from source point even in a velocity model with large and sharp *** numerical examples show the good performance of the AFD method,which will be beneficial to many scientific applications.