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Least-squares reverse time migration based on first-order velocity-stress wave equation

机译:基于一阶速度应力波方程的最小二乘反向时间迁移

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摘要

Least-squares migration has been shown to improve image quality compared to the conventional migration method and it is one of the hot spot of present research. However most of the present LSRTM method is established based on the second-order scalar acoustic equation, therefore it is not suitable for the first-order velocity-stress equation. In this abstract, we extend the LSRTM method to the first-order velocity-stress equation. Firstly, we linearize the first-order wave equation and define the cost function. Then we derived the adjoint wave equation, and the iterative solution is derived using adjoint-state method. We found that the adjoint state equation based on first-order acoustic equation is very different from its forward modeling equation. Finally, the theory framework of the first-order LSRTM is established. Numerical tests on synthetic data demonstrate that our method is convenient to handle variable-density media, and has higher simulation accuracy.
机译:与传统的迁移方法相比,已经示出了最小二乘迁移来改善图像质量,并且是目前研究的热点之一。然而,基于二阶标量声学方程建立了大多数LSRTM方法,因此它不适用于一阶速度应力方程。在此摘要中,我们将LSRTM方法扩展到一阶速度应力方程。首先,我们线性化一阶波动方程并定义成本函数。然后我们派生伴随波方程,并且使用伴随状态方法导出迭代解决方案。我们发现,基于一阶声学方程的伴奏状态方程与其前向建模方程非常不同。最后,建立了一阶LSRTM的理论框架。合成数据的数值测试表明,我们的方法可以方便地处理可变密度介质,并具有更高的仿真精度。

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