用光谱重组方法对地震反射进行相移校正

IF 1.1 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Near Surface Geophysics Pub Date : 2023-10-03 DOI:10.1002/nsg.12271
Nelson Ricardo Coelho Flores Zuniga, Deyan Draganov, Ranajit Ghose
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引用次数: 0

摘要

利用临界后反射数据,可以获得有用的信息,从而对地下进行更可靠的地质表征。然而,后临界小波中相移引起的强烈失真使得后临界反射的使用相当具有挑战性。因此,需要一种能够以数据驱动的方式估计反射事件的每个小波相移的方法。在这种情况下,如果可以正确估计小波的频谱,则可以估计瞬时相移。在这项工作中,我们提出了一种基于地震数据频谱重组的方法来进行这种估计。我们设计了一种反演方法,以重建反射事件的小波地震谱,从而使我们能够在不进行事先速度分析和/或临界角估计的情况下估计近地表反射事件的每个小波的瞬时相位。在找到反射事件的每个小波的瞬时相位之后,我们接下来将展示如何找到相应的相移,然后进行校正。
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Phase‐shift correction of seismic reflections by means of spectral recomposition
Abstract Using post‐critical reflection data, it is possible to obtain useful information that allows more reliable geological characterization of the subsurface. However, the strong distortion caused by the phase shift in post‐critical wavelets makes the use of post‐critical reflections rather challenging. For this reason, an approach which is capable of estimating the phase shift of each wavelet of a reflection event in a data‐driven manner is desirable. In this vein, in case the frequency spectrum of a wavelet can be correctly estimated, it is possible to estimate the instantaneous phase shift. In this work, we propose an approach which can perform such estimation based on spectral recomposition of seismic data. We design an inversion approach in order to reconstruct the seismic spectrum of the wavelets of a reflection event, which subsequently allows us to estimate the instantaneous phase of each wavelet of the near‐surface reflection events without performing prior velocity analysis and/or critical‐angle estimation. After finding the instantaneous phase for each wavelet of a reflection event, we show next how one can find the respective phase shifts that can then be corrected.
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来源期刊
Near Surface Geophysics
Near Surface Geophysics 地学-地球化学与地球物理
CiteScore
3.60
自引率
12.50%
发文量
42
审稿时长
6-12 weeks
期刊介绍: Near Surface Geophysics is an international journal for the publication of research and development in geophysics applied to near surface. It places emphasis on geological, hydrogeological, geotechnical, environmental, engineering, mining, archaeological, agricultural and other applications of geophysics as well as physical soil and rock properties. Geophysical and geoscientific case histories with innovative use of geophysical techniques are welcome, which may include improvements on instrumentation, measurements, data acquisition and processing, modelling, inversion, interpretation, project management and multidisciplinary use. The papers should also be understandable to those who use geophysical data but are not necessarily geophysicists.
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