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Acoustic global-local full-waveform inversion for P-wave velocity estimation of near-surface seismic data acquired in Luni, Italy

机译:意大利Luni近表面地震数据的P波速度估计的声学全球局部全波形反演

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摘要

In this work, we describe an experiment concerning global-local full-waveform inversion, carried out on a P-wave seismic reflection profile that was acquired at Luni, an archaeological site in Italy. The global full-waveform inversion makes use of a two-grid genetic algorithm scheme and recorded refraction and diving waves, to build an initial velocity model of the subsurface. Two important pieces of a priori information which help to better constrain the inversion results are the refraction velocity model and the Dix-converted semblance velocity field obtained from time processing. A good match between observed and predicted data allows us to use the estimated velocity field as the starting point for a local, gradient-based full-waveform inversion that inverts the recorded data (except the surface waves). The final estimated velocity field shows two main discontinuities: one is very shallow and related to the refractor velocity model used and the other corresponds to the strongest reflection event observed in the pre-stack depth-migrated section, at a depth of 100 m. The pre-stack depth-migrated common image gathers provide evidence of a good horizontal alignment of this reflection, indicating an accurate velocity estimation down to 100 m depth that corresponds to the maximum offset used in the acquisition.
机译:在这项工作中,我们描述了一个关于全球局部全波形反演的实验,在意大利考古遗址在Luni获取的P波地震反射曲线上进行。全局全波形反演利用双网遗传算法方案和记录折射和潜水波,构建地下的初始速度模型。有助于更好地限制反转结果的两个重要件是折射速度模型和从时间处理获得的DIX转换的外观速度场。观察和预测数据之间的良好匹配允许我们使用估计的速度字段作为基于本地梯度的全波形反演的起点,其反转记录的数据(表面波除外)。最终估计的速度场显示两个主要的不连续性:一个非常浅并且与所使用的耐润速度模型有关,另一个对应于在堆叠预迁移的部分中观察到的最强的反射事件,深度为100米。堆栈预迁移的常见图像聚集提供了该反射的良好水平对准的证据,指示了低于100米深度的精确速度估计,其对应于采集中使用的最大偏移。

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