首页> 外文会议>SEG Houston 2013 >Amplitude-preserving imaging of aliased data using preconditioned Kirchhoff least-squares depth migration.
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Amplitude-preserving imaging of aliased data using preconditioned Kirchhoff least-squares depth migration.

机译:使用预处理的kirchhoff最小二乘深度迁移的别名数据保持幅度映像。

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Kirchhoff migration is still the most popular imaging algorithm because it easily handles irregular geometries that occur due permitting limitations and surface obstacles. However, if not properly interpolated, irregular geometries also hinder proper amplitude preservation. Preconditioned least-squares migration (PLSM) offers an alternative to 5D interpolation and provides an approximation to Earth's reflectivity that resembles the inverse of seismic modeling. PLSM can also be viewed as an interpolation method based on the subsurface velocity-depth model. The impact of PSLM on final stacked results is minimal, with the main advantage being clean prestack gathers for subsequent AVO and AVAz analysis. Other potential uses of PLSM include regularization of data prior to RTM, as well as a component of diffraction imaging. The main disadvantage of the method is the increase in computational time by a factor of 6-12.
机译:Kirchhoff迁移仍然是最流行的成像算法,因为它很容易处理发生的不规则几何形状,这些几何形状发生了允许的限制和表面障碍物。但是,如果没有正确插值,则不规则几何形状也阻碍了适当的幅度保存。预处理最小二乘迁移(PLSM)提供了5D插值的替代,并为地球的反射率提供了类似于地震造型的反向的近似。 PLSM也可以被视为基于地下速度深度模型的插值方法。 PSLM对最终堆叠结果的影响是最小的,主要优点是清洁Prestack用于随后的AVO和AVAZ分析。 PLSM的其他潜在用途包括在RTM之前的数据的正则化,以及衍射成像的组件。该方法的主要缺点是计算时间的增加6-12倍。

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