论文部分内容阅读
全波形反演同时利用波场的振幅、相位和走时信息来推测介质物性参数,是一个极小化模拟数据与已知观测数据之间残量的优化迭代过程.由于正问题是关于模型参数的一个非线性算子及波形拟合中的周期跳跃现象,全波形反演是一个典型的不适定性问题.本文我们在前期频率多尺度反演工作的基础上,提出了多重网格全波形反演方法,文中详细描述了有限差分正演方法及两层网格全波形反演的策略,并对复杂构造Marmousi模型,基于MPI并行编程语言,进行了大规模反演计算,得到了较高精度的反演结果.数值计算表明两网格全波形反演具有提高计算效率和加速收敛的优点.
The full waveform inversion uses the information of the amplitude, phase and traveltime of the wave field to infer the material physical parameters, which is an iterative optimization process for minimizing residuals between the simulated data and the known observed data.Because the positive problem is about the model parameters A nonlinear operator and periodic jump phenomenon in waveform fitting, full waveform inversion is a typical ill-posed problem.In this paper, we propose a multi-grid full waveform inversion based on the previous frequency multi-scale inversion work Method. In this paper, the finite difference forward modeling method and the strategy of two-layer grid full waveform inversion are described in detail. Large-scale inversion calculation is carried out for complex constructions of Marmousi model based on MPI parallel programming language. The inversion results show that the two-grid full waveform inversion has the advantage of increasing computational efficiency and accelerating convergence.