Crosswell frequency-domain reverse time migration imaging with wavefield decomposition

IF 1.6 3区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS
Jixin Yang, Xiao He, Hao Chen
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引用次数: 0

Abstract

Abstract Crosswell seismic technique can provide high-resolution imaging and monitoring of the subsurface. However, compared to the surface seismic, crosswell data contain more complex wave components, which increases the difficulty of seismic processing and migrations. Conventional acoustic reverse time migration (RTM) mainly uses the cross-correlation of the source forward and the receiver backward wavefields. The redundant information generated by cross-correlation may undermine the imaging reliability in the crosswell models. Thus, we develope a novel wavefield decomposition imaging condition and only used cross-correlation information of incident and reflection waves in the same propagation directions, which eliminate the artifacts generated from the cross-correlation of wave information unrelated to reflections in the crosswell image. We perform RTM in the frequency domain to maintain efficiency in multi-shot problems. A mono-frequency wavefield decomposition method is applied to separate and process the seismic data. The forward and backward wavefields are reclassified into the up-and-down- propagating components. And the L1 norm is introduced to enhance the robustness of the proposed imaging method. We then use this method to synthesized data from layering models and analyse the imaging results generated from each pair of cross-correlations using source and receiver wavefields. Results show that the cross-correlation information belonging to the same propagation contributes most to the crosswell image, and the other information always generates migration noises. Moreover, we apply the proposed method to a real field dataset. Processing results validate the effectiveness of the proposed means for eliminating false events in the crosswell models and improving image quality.
波场分解的井间频域逆时偏移成像
井间地震技术可以提供高分辨率的地下成像和监测。然而,与地面地震资料相比,井间地震资料包含更复杂的波分量,增加了地震处理和偏移的难度。传统的声学逆时偏移(RTM)主要利用源波场的前向和接收波场的后向互相关。交叉相关产生的冗余信息会影响井间模型成像的可靠性。因此,我们提出了一种新的波场分解成像条件,仅使用同一传播方向的入射波和反射波的相互关联信息,消除了井间图像中与反射无关的波信息相互关联产生的伪影。我们在频域执行RTM,以保持多镜头问题的效率。采用单频波场分解方法对地震资料进行分离和处理。将前向波场和后向波场重新划分为上下传播分量。并引入L1范数来增强所提成像方法的鲁棒性。然后,我们使用该方法从分层模型中合成数据,并使用源波场和接收波场分析每对相互关联产生的成像结果。结果表明,同传播的互相关信息对井间图像贡献最大,其他信息则产生偏移噪声。此外,我们还将该方法应用于一个真实的现场数据集。处理结果验证了该方法在消除井间模型中的假事件和提高图像质量方面的有效性。
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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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