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首页> 外文期刊>Inverse Problems: An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data >Migration/inversion: think image point coordinates, process in acquisition surface coordinates
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Migration/inversion: think image point coordinates, process in acquisition surface coordinates

机译:迁移/反演:考虑图像点坐标,在采集表面坐标中进行处理

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摘要

We state a general principle for seismic migration/inversion (M/I) processes: think image point coordinates; compute in surface coordinates. This principle allows the natural separation of multiple travel paths of energy from a source to a reflector to a receiver. Further, the Beylkin determinant (Jacobian of transformation between processing parameters and acquisition surface coordinates) is particularly simple in stark contrast to the common-offset Beylkin determinant in standard single arrival Kirchhoff M/I. A feature of this type of processing is that it changes the deconvolution structure of Kirchhoff M/I operators or the deconvolution imaging operator of wave equation migration into convolution operators; that is, division by Green's functions is replaced by multiplications by adjoint Green's functions. This transformation from image point coordinates to surface coordinates is also applied to a recently developed extension of the standard Kirchhoff inversion method. The standard method uses WKBJ Green's functions in the integration process and tends to produce more imaging artefacts than alternatives, such as methods using Gaussian beam representations of Green's functions in the inversion formula. These methods point to the need for a true-amplitude Kirchhoff technique that uses more general Green's functions: Gaussian beams, true-amplitude one-way Green's functions, or Green's functions from the two-way wave equation. Here, we present a derivation of a true-amplitude Kirchhoff M/I that uses these more general Green's functions. When this inversion is recast as an integral over all Sources and receivers, the formula is surprisingly simple.
机译:我们陈述了地震迁移/反演(M / I)过程的一般原理:考虑图像点坐标;计算表面坐标。该原理允许能量从源到反射器再到接收器的多个传播路径自然分离。此外,与标准单次到达Kirchhoff M / I中的常见偏移Beylkin行列式形成鲜明对比的是,Beylkin行列式(处理参数与采集表面坐标之间的转换的雅可比)特别简单。这种处理的一个特点是,它改变了基尔霍夫M / I算子的去卷积结构或将波动方程迁移到卷积算子中的去卷积成像算子。也就是说,用格林函数的除法被伴随格林函数的乘法代替。从图像点坐标到表面坐标的这种转换也应用于标准Kirchhoff反演方法的最新开发。标准方法在积分过程中使用WKBJ Green函数,并且比其他方法(例如,在反演公式中使用Green函数的高斯光束表示方法)倾向于产生更多的成像伪像。这些方法表明需要使用更通用的格林函数的真振幅基尔霍夫技术:高斯光束,真振幅单向格林函数或双向波动方程中的格林函数。在这里,我们提出了使用这些更通用的格林函数的真振幅基尔霍夫M / I的推导。当将这种反演重现为所有“源”和“接收器”的整数时,公式非常简单。

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