Wavefront picking for 3D tomography and full-waveform inversion

Wavefront picking for 3D tomography and full-waveform inversion
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用于 3D 断层扫描和全波形反演的波前拾取

DOI:
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发表时间:
2016
期刊:
影响因子:
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通讯作者:
G. Schuster
G. Schuster
中科院分区:
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文献类型:
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作者:
A. AlTheyab;G. Schuster

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摘要提出了一种从粗采样的三维镜头集时间片上提取首破波前的有效方法。我们的目标是计算多尺度全波形反演(FWI)的光滑初始速度模型。使用交互式软件,首次破波前以最小的拾取次数在时间片上进行几何建模。我们挑选稀疏的时间片,进行旅行时间断层扫描,然后将预测的旅行时间与挑选的切片之间的数据进行比较。通过迭代改进拣选间隔,直到旅行时间预测的误差落在避免早期到达的FWI的周期跳过所必需的范围内。该方法应用于三维海底站数据集。我们的研究结果表明,波前拾取与在镜头采集中拾取旅行时间相比,可拾取的数据片减少了28%。此外,通过使用稀疏时间样本进行选择,数据存储减少了88%,因此可以更快地实现可视化。
ABSTRACTWe have developed an efficient approach for picking first-break wavefronts on coarsely sampled time slices of 3D shot gathers. Our objective was to compute a smooth initial velocity model for multiscale full-waveform inversion (FWI). Using interactive software, first-break wavefronts were geometrically modeled on time slices with a minimal number of picks. We picked sparse time slices, performed traveltime tomography, and then compared the predicted traveltimes with the data in-between the picked slices. The picking interval was refined with iterations until the errors in traveltime predictions fell within the limits necessary to avoid cycle skipping in early arrivals FWI. This approach was applied to a 3D ocean-bottom-station data set. Our results indicate that wavefront picking has 28% fewer data slices to pick compared with picking traveltimes in shot gathers. In addition, by using sparse time samples for picking, data storage is reduced by 88%, and therefore allows for a faster visualization a...