桂林理工大学学报2015，Vol.35Issue(3)：431-436,6.DOI:10.3969/j.issn.1674-9057.2015.03.002
基于梯形网格辛Runge-Kutta射线追踪的角度域层析偏移速度分析
Angle domain tomographic migration velocity analysis based on symplectic Runge-Kutta seismic ray tracing with trapezoid cells
摘要
Abstract
The linearized tomographic inversion equations are built by using the residual moveout ( RMO ) of angle domain common image gathers ( ADCIGs) and seismic ray tracing based on symplectic Runge-Kutta algo-rithm, compared with the Kirchhoff pre-stack depth migration velocity analysis.Firstly, conventional prestack migration velocity analysis estimates a rectangular grid of interval velocity model as an initial model, with which double square root wavefield downward continuation is adopted to extract ADCIGs.RMO analysis is exploited for producing traveltime perturbation as the right side of the equations.And then, trapezoid grids controlled by migrated reflectors are used in the parameterization of the initial velocity model , based on which symplectic Runge-Kutta ray tracing method is employed to compute the partial derivative matrix for the left side of the linear system of equations.Velocity perturbation is obtained by applying LSQR, GPU-LU or recursive LU algorithm to solve the linear system of equations for updating the initial velocity model.This processing sequence can be iter-ated several times until the ADCIGs are flattened.The processing method is carried out on Qinghai field data. The result indicates that the method is feasible and valid.关键词
ADCIGs/梯形网格/辛Runge-Kutta算法/层析反演Key words
ADCIGs/trapezoid grids/symplectic Runge-Kutta algorithm/tomographic inversion分类
天文与地球科学引用本文复制引用
魏亦文,熊彬,唐国彬..基于梯形网格辛Runge-Kutta射线追踪的角度域层析偏移速度分析[J].桂林理工大学学报,2015,35(3):431-436,6.基金项目
国家自然科学基金项目 ( 41164004 ) （ 41164004 ）
广西自然科学基金项目 ( 2015GXNSFBA139184 ) （ 2015GXNSFBA139184 ）
广西高校科研项目(KY2015LX113) （KY2015LX113）
