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True amplitude imaging by inverse generalized Radon transform based on Gaussian beam decomposition of the acoustic Green's function

机译:基于声学格林函数的高斯光束分解的逆广义Radon变换进行真振幅成像

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摘要

True amplitude migration is one of the most important procedures of seismic data processing. As a rule it is based on the decomposition of the velocity model of the medium into a known macrovelocity component and its sharp local perturbations to be determined. Under this decomposition the wavefield can be considered as the superposition of an incident and reflected/scattered waves. The single scattering approximation introduces the linear integral operator that connects the sharp local perturbations of the macrovelocity model with the multishot/multioffset data formed from reflected/scattered waves. We develop the pseudoinverse of this operator using the Gaussian beam based decomposition of acoustic Green's functions. The computation of this pseudoinverse operator is done pointwise by shooting Gaussian beams from the target area towards the acquisition system. The numerical implementation of the pseudoinverse operator was applied to the synthetic data Sigsbee2A. The results obtained demonstrate the high quality of the true amplitude images computed both in the smooth part of the model and under the salt body.
机译:真实振幅偏移是地震数据处理中最重要的过程之一。通常,它基于将介质的速度模型分解为已知的宏观速度分量并确定其剧烈的局部扰动。在这种分解下,波场可以看作是入射波和反射/散射波的叠加。单次散射近似引入了线性积分算子,该算子将宏观速度模型的尖锐局部扰动与由反射/散射波形成的多次/多次偏移数据联系起来。我们使用基于高斯波束的声学格林函数分解来开发该算符的拟逆。伪逆算子的计算是通过从目标区域向采集系统发射高斯光束逐点进行的。伪逆算子的数值实现被应用于合成数据Sigsbee2A。获得的结果表明,在模型的平滑部分和盐体下都可以计算出真实振幅图像的高质量。

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