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Angle-domain wave equation tomography using RTM image gathers

机译:使用RTM图像聚集的角度域波方程断层扫描

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Wave equation tomography offers a way to better update the migration velocity model in the complex media. For real seismic data with finite frequency bandwidth, migration velocity updated from wave equation tomography is more suitable and robust for the advanced RTM. Meantime, RTM angle image gathers can provide nice moveouts with incorrect migration velocity for reliable velocity updating. In this paper, we present a wave equation tomography approach for velocity updating through the angle-domain sensitivity kernels. We propose a cost-effective way to calculate the angle domain sensitivity kernels. These angle-domain sensitivity kernels are used to convert the depth residuals from RTM angle image gathers into velocity perturbations, which are then used to refine the velocity model. We also propose a velocity model updating workflow in this paper. Examples from 2D sigsbee2 model and 3D SEAM model demonstrate the capability of this method for migration velocity updating.
机译:波浪方程式断层扫描提供了一种更好地更新复杂介质中的迁移速度模型的方法。对于具有有限频率带宽的真实地震数据,从波浪方程断层扫描更新的迁移速度更适合,更适合于高级RTM。同时,RTM角度图像聚集可以为可靠的速度更新提供不正确的迁移速度的漂亮偏移。在本文中,我们介绍了通过角度域灵敏度核的速度更新的波动方程断层扫描方法。我们提出了一种成本效益的方式来计算角度域灵敏度内核。这些角度域灵敏度内核用于将深度残差从RTM角度图像转换成速度扰动,然后用于改进速度模型。我们还提出了速度模型更新本文的工作流程。来自2D SigsBee2模型和3D缝模型的示例演示了这种迁移速度更新方法的能力。

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