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Review Paper: An outlook on the future of seismic imaging, Part Ⅱ: Full-Wavefield Migration

机译:评论文件:地震成像的未来展望,第二部分:全波场迁移

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The next-generation seismic imaging algorithms will consider multiple scattering as indispensable information, being referred to as Full-Wavefield Migration. In addition, these algorithms will also include autonomous velocity updating in the migration process, being referred to as Joint Migration Inversion. Full-Wavefield Migration and Joint Migration Inversion address the industrial needs to improve images of very complex reservoirs as well as the industrial ambition to produce these images in a more automatic manner (automation in seismic processing). In this vision paper on seismic imaging, Full-Wavefield Migration and Joint Migration Inversion are formulated in terms of a closed-loop estimation algorithm that can be physically explained by an iterative double focusing process (full-wavefield common-focus-point technology). A critical module in this formulation is forward modelling, allowing feedback from migrated output to unmigrated input (closing the loop). For this purpose, a full-wavefield modelling module has been developed, which utilizes an operator description of complex geology. The full-wavefield modelling module is pre-eminently suited to function in the feedback path of a closed-loop migration algorithm. 'The Future of Seismic Imaging' is presented as a coherent trilogy, proposing the migration framework of the future in three consecutive parts. In Part Ⅰ, it was shown that the proposed full-wavefield modelling module algorithm differs fundamentally from finite-difference modelling because velocities and densities need not be provided. Instead, an operator description of the subsurface is used. In addition, the concept of reverse modelling was introduced. In Part Ⅱ, it is shown how the theory of Primary Wavefield Migration can be extended to Full-Wavefield Migration by correcting for angle-dependent transmission effects and by utilizing multiple scattering. The potential of the Full-Wavefield Migration algorithm is illustrated with numerical examples. A multidirectional migration strategy is proposed that navigates the Full-Wavefield Migration algorithm through the seismic data cube in different directions.
机译:下一代地震成像算法会将多重散射视为必不可少的信息,称为全波场偏移。此外,这些算法还将在迁移过程中包括自主速度更新,称为联合迁移反演。全波场偏移和联合偏移反演满足了改善非常复杂的油藏图像的工业需求以及以更自动化的方式(地震处理自动化)生产这些图像的工业野心。在有关地震成像的视觉论文中,全波场偏移和联合偏移反演是根据闭环估计算法制定的,该算法可以通过迭代双聚焦过程(全波场共聚焦技术)进行物理解释。此公式中的一个关键模块是正向建模,它允许从迁移的输出到未迁移的输入(闭合循环)进行反馈。为此,已经开发了一个全波场建模模块,该模块利用操作员对复杂地质的描述。全波场建模模块非常适合在闭环偏移算法的反馈路径中发挥作用。 “地震成像的未来”以连贯的三部曲形式呈现,在三个连续的部分中提出了未来的迁移框架。在第一部分中,表明了所提出的全波场建模模块算法与有限差分建模在根本上有所不同,因为不需要提供速度和密度。取而代之的是,使用地下的操作员描述。另外,引入了反向建模的概念。在第二部分中,展示了如何通过校正角度相关的传输效应并利用多重散射将主波场迁移理论扩展到全波场迁移。举例说明了全波场迁移算法的潜力。提出了一种多方向迁移策略,该策略在不同方向上通过地震数据立方体导航全波场迁移算法。

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  • 来源
    《Geophysical Prospecting》 |2014年第5期|931-949|共19页
  • 作者

    A.J. (Guus) Berkhout;

  • 作者单位

    Delft University of Technology, CiTG, Stevinweg 1, 2628 CN Delft, The Netherlands;

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  • 原文格式 PDF
  • 正文语种 eng
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