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Depth migration velocity model building with wave equation imaging

机译:波动方程成像的深度偏移速度模型建立

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In spite of impressive advances in the application of wave equation imaging technology to generate images of complex struc-tures, ray-based tools are generally used for the equally important step of velocity determination. Closing the experimentalloop, by using the same wave equation imaging algorithm to measure velocity and to obtain a final image, is more thanjust philosophically pleasing. In strata exhibiting complex velocity structure, wave equation migration algorithms may bethe only tools able to image some reflectors, so it stands to reason in such cases that only a wave equation velocity updatecan reliably measure velocity errors near these reflectors. In this article, we present a wave equation velocity update scheme,similar to depth focusing analysis, utilizing the time-shift imaging condition. We demonstrate the robustness of this approachunder salt and in a land fault shadow example with limited acquisition effort. A common criticism levied against waveequation migration is the difficulty in efficiently obtaining 3D angle gathers (incidence, azimuth, and dip angle). We alsopresent an efficient Fourier-domain angle decomposition technology for wave equation migration and demonstrate efficacyon synthetic and field data examples.
机译:尽管在应用波动方程成像技术生成复杂结构的图像方面取得了令人印象深刻的进步,但基于射线的工具通常用于速度确定的同样重要的步骤。从哲学上讲,通过使用相同的波动方程成像算法来测量速度并获得最终图像来闭合实验回路是远远不够的。在表现出复杂速度结构的地层中,波动方程偏移算法可能是唯一能够对某些反射器成像的工具,因此在这种情况下,只有波动方程速度更新才能可靠地测量这些反射器附近的速度误差,这是有理由的。在本文中,我们提出了一种利用时移成像条件的类似于深度聚焦分析的波动方程速度更新方案。我们用有限的购置努力证明了这种方法在盐下和土地缺陷阴影实例中的鲁棒性。反对波动方程迁移的一个普遍批评是难以有效地获得3D角道集(入射角,方位角和倾角)。我们还提出了一种有效的傅立叶域角分解技术,用于波动方程的偏移,并证明了其在合成和现场数据实例中的功效。

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