Shallow Seismic Refraction - Identification and Automatic Interpretation of Arrival Times

Klaus Contiero, L. Diogo
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Abstract

Automation of human activities through computational methods is essential in today's world, whether in the academic world, in the corporate world or in everyday tasks, and in geophysical processing is not different. Much of the time spent processing a shallow refraction seismic study is spent on picking for first break identification, which, despite technological advances, remains dependent on the visual evaluation of the seismic interpreter. Thus, the automation of this process provides a more efficient result and provides more time for interpretation. In this work we used the peak detection program (Zscore). The application of the Z-score showed automatic picking efficiency, identifying 88% of the first breaks, with 92% of the detections having an error less or equal to 2%. In addition, a method for interpreting seismic events, identifying the velocities and thicknesses of the layers, was successful: Simultaneous Inversion. Thus, several automations in the processes of the seismic refraction method have proved to be satisfactory in real data.
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浅层地震折射-识别和到达时间的自动解释
通过计算方法实现人类活动的自动化在当今世界是必不可少的,无论是在学术界、企业界还是在日常任务中,在地球物理处理中也不例外。处理浅层折射地震研究的大部分时间都花在了选择第一次断裂识别上,尽管技术进步了,但这仍然依赖于地震解释器的视觉评价。因此,该过程的自动化提供了更有效的结果,并为解释提供了更多的时间。在这项工作中,我们使用了峰值检测程序(Zscore)。z分数的应用显示了自动拾取效率,识别出88%的第一次断裂,92%的检测误差小于或等于2%。此外,一种解释地震事件、确定地层速度和厚度的方法——同步反演也取得了成功。因此,在实际资料中证明了地震折射法过程中的若干自动化操作是令人满意的。
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