摘要
The complexity of an elastic wavefield increases the nonlinearity of inversion, To some extent, multiscale inversion decreases the nonlinearity of inversion and prevents it from falling into local extremes. A multiscale strategy based on the simultaneous use of frequency groups and layer stripping method based on damped wave field improves the stability of inversion. A dual-level parallel algorithm is then used to decrease the computational cost and improve practicability. The seismic wave modeling of a single frequency and inversion in a frequency group are computed in parallel by multiple nodes based on multifrontal massively parallel sparse direct solver and MPI. Numerical tests using an overthrust model show that the proposed inversion algorithm can effectively improve the stability and accuracy of inversion by selecting the appropriate inversion frequency and damping factor in low- frequency seismic data.
弹性波场的复杂性使得反演问题非线性增强,容易陷入局部极值,需要采用合理的多尺度反演策略降低非线性。在逐频组多尺度反演的基础上引入第二级别的反演策略,即基于阻尼波场的层剥离方法,能够改善反演过程的稳定性。针对频域全波形反演计算效率低、内存占用大的问题,采用双级并行算法:(i)利用多波前大规模并行直接解法(MUMPS)软件包,多节点并行实现波场正演;(ii)基于MPI实现频组内各频率并行计算梯度和步长等,使得多尺度反演算法在提高精度的前提下,保证了计算效率,提高了算法的实用性。Overthrust模型的数值实验表明,本文反演算法能够在有效改善反演稳定性的前提下,高效地获得精度较高的反演结果。
基金
supported by the Natural Science Foundation of China(No.41374122)
