OBC shallow water de-multiple based on the principle of Fresnel diffraction

IF 1.6 3区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Journal of Geophysics and Engineering Pub Date : 2024-03-15 DOI:10.1093/jge/gxae034
Qiang Xu
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Abstract

In shallow water ocean bottom cable (OBC) seismic data, the ineffectiveness of conventional surface-related multiple elimination(SRME) methods due to poor seabed records is addressed. This research utilizes the seismic wavefield received by multiple cables from a single shot gather to predict shallow water multiple models for that shot gather. Initially, the seismic data within a finite aperture around a seismic trace in the time domain shot gather is treated as the known seismic wavefield. This seismic wavefield is then extrapolated along the water layer to this seismic trace, following the Fresnel diffraction principle. The extrapolated data becomes the shallow water multiple model for this seismic trace. This process is repeated for each trace in the shot gather to obtain the shallow water multiple model of the entire shot gather. Forward modeling tests have shown that smaller data apertures can effectively avoid the impact of spatial aliasing on multiple model prediction. To address the overlap of primary waves and shallow water multiples in deep seismic data, which have lower dominant frequencies, the multiple model data is used as a known seismic wavefield and extrapolated along the water layer again. This produces second-order and higher-order multiple models. Applying this model to suppress multiple waves can minimize primary waves loss. This entirely data-driven approach necessitates solely water depth information, imposing no additional conditions. Both forward modeling and real seismic data testing validate the efficacy of this method in shallow water.
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基于菲涅尔衍射原理的 OBC 浅水去倍增器
在浅水洋底电缆(OBC)地震数据中,传统的地表相关多重消除(SRME)方法因海底记录较差而无效。这项研究利用单次地震采集中多条电缆接收到的地震波场来预测该次地震采集的浅水多重模型。首先,将时域地震道周围有限孔径内的地震数据视为已知地震波场。然后,根据菲涅尔衍射原理,沿水层外推该地震道的地震波场。外推数据成为该地震道的浅水多重模型。对地震道集合中的每个地震道重复这一过程,以获得整个地震道集合的浅水多重模型。前向建模测试表明,较小的数据孔径可有效避免空间混叠对多重模型预测的影响。深层地震数据的主频较低,为了解决主波与浅水多重波重叠的问题,多重模型数据被用作已知地震波场,并再次沿水层外推。这就产生了二阶和高阶多重模型。应用这种模型来抑制多重波,可以最大限度地减少原波损失。这种完全由数据驱动的方法只需要水深信息,不附加任何条件。前向建模和实际地震数据测试都验证了这种方法在浅水区的有效性。
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来源期刊
Journal of Geophysics and Engineering
Journal of Geophysics and Engineering 工程技术-地球化学与地球物理
CiteScore
2.50
自引率
21.40%
发文量
87
审稿时长
4 months
期刊介绍: Journal of Geophysics and Engineering aims to promote research and developments in geophysics and related areas of engineering. It has a predominantly applied science and engineering focus, but solicits and accepts high-quality contributions in all earth-physics disciplines, including geodynamics, natural and controlled-source seismology, oil, gas and mineral exploration, petrophysics and reservoir geophysics. The journal covers those aspects of engineering that are closely related to geophysics, or on the targets and problems that geophysics addresses. Typically, this is engineering focused on the subsurface, particularly petroleum engineering, rock mechanics, geophysical software engineering, drilling technology, remote sensing, instrumentation and sensor design.
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