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Gaussian-packet based slope tomography assisted by demigration to common receiver gather

机译:基于高斯包的斜率层析成像技术与共接收道集分离

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Gaussian-packet based tomography is a very interesting tomographic method. In the previously presented Gaussian-packet based traveltime reflection tomography, the traveltime difference is extracted by a cross correlation of the observed wave-packet and the simulated wave-packet in the shot gather. In this abstract, we present a novel Gaussian-packet based slope reflection tomography method, which is assisted by a Gaussian-packet based demigration to common receiver gather. This demigration is crucial to achieve this method. It is implemented based on an initial Gaussian-packet based shot-domain image consists of Gabor functions. The motivation to implement such a demigration is that we want the slope difference measured in common receiver gather (ΔP_(sx)) to be served as the only data space for this new method. As to the extraction of the slope difference (ΔP_(sx)), it will be calculated by a cross correlation of the observed wave-packet and simulated wave-packet in τ-p domain. Compared with the latest developed wave-equation Radon tomography, it is a pure slope based tomography method and the time-delay residual (Δτ) is not needed. We derived the gradient with respect to the new objective function. A typical synthetic example demonstrated the correctness of the derived gradient.
机译:基于高斯包的层析成像是一种非常有趣的层析成像方法。在先前提出的基于高斯包的走时反射层析成像中,走时差是通过炮检道集中的观测波包和模拟波包的互相关来提取的。在这篇摘要中,我们提出了一种新的基于高斯包的斜坡反射层析成像方法,该方法由基于高斯包的对公共接收道集的去网格辅助。这种去迁移对于实现这种方法至关重要。它是基于一个初始的基于高斯包的由Gabor函数组成的镜头域图像来实现的。实施这种分离的动机是,我们希望在公共接收道集中测量的斜率差(ΔP_x(sx))作为这种新方法的唯一数据空间。至于斜率差(ΔP_sx)的提取,将通过τ-P域中观测波包和模拟波包的互相关来计算。与最新发展的波动方程氡层析成像相比,它是一种纯基于斜率的层析成像方法,不需要时间延迟残差(Δτ)。我们推导了关于新目标函数的梯度。一个典型的合成例子证明了所导出梯度的正确性。

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