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Fwt2d: A Massively Parallel Program For Frequency-domain Full-waveform Tomography Of Wide-aperture Seismic Data-part 2 Numerical Examples And Scalability Analysis

机译:Fwt2d:宽孔径地震数据的频域全波形层析成像的大规模并行程序-第2部分数值示例和可伸缩性分析

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摘要

This is the second paper in a two-part series that describes a massively parallel code that performs 2D full-waveform inversion of wide-aperture seismic data for imaging complex structures. We present several numerical validation of the full-waveform inversion code with both canonical and realistic synthetic examples. We illustrate how different multiscale strategies can be applied by either successive mono-frequency inversions or simultaneous multifrequency inversions and their impact on the convergence and the robustness of the inversion. We present a scalability analysis using a real marine data set recorded by a dense array of ocean bottom seismometers to image the crustal structure of a subduction zone. We obtained a speedup of 20 when using 50 processes on a PC cluster which allowed us to iteratively invert 13 frequencies of the full data set in less than 2 days. This computational performance will allow in the future more extensive analysis of full-waveform tomography methods when applied to representative case studies or when considering 3D geometries.
机译:这是由两部分组成的系列文章中的第二篇,描述了大规模并行代码,该代码执行宽孔径地震数据的2D全波形反演以对复杂结构进行成像。我们用规范的和实际的合成示例介绍了全波形反演代码的几个数值验证。我们说明了如何通过连续的单频反演或同时的多频反演应用不同的多尺度策略,以及它们对反演的收敛性和鲁棒性的影响。我们使用由海底地震仪的密集阵列记录的真实海洋数据集来提供可伸缩性分析,以对俯冲带的地壳结构成像。在PC群集上使用50个进程时,我们获得了20倍的加速,这使我们能够在不到2天的时间内迭代反转整个数据集的13个频率。当应用于代表性案例研究或考虑3D几何形状时,这种计算性能将允许将来对全波形层析成像方法进行更广泛的分析。

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