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3D stereotomography applied to the deep-sea data acquired in the South China Sea, part II: the real case study

机译:3D立体图应用于南海收购的深海数据,第二部分:真正的案例研究

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3D stereotomography is a very appealing tomographic method for the real applications. In the part I of this study, we construct the 3D stereotomography (frechet) matrix based on non-reduced Hamiltonian in the 3D Cartesian coordinate. It has the advantage of reducing the computational cost and capable of considering the turning rays when compared with the pervious reduced Hamiltonian version in ray-centered coordinate. In this abstract (part II of this study), the 3D stereotomography algorithm formulated in the part I has been implemented to the 3D deep-sea narrow-azimuth real data acquired in South-China Sea. With the help of 3D structure tensor algorithm, a high-quality data space for 3D stereotomography can be achieved. It guarantees we can get a reliable inverted result with presented 3D stereotomography algorithm. The inverted model can serve as a fit model for the 3D prestack depth migration. The synthetic and real data examples demonstrated the above points.
机译:3D Sereotomography是真实应用的非常有吸引力的断层图方法。在本研究的第一部分中,我们基于3D笛卡尔坐标的非减少汉密尔顿人构建了3D立体图(Frechet)矩阵。它具有降低计算成本并且能够考虑转向光线的优点,而在射线中心坐标中的漫长减少的哈密顿版本相比。在这个摘要(本研究的第II部分)中,在第一部分中配制的3D立体图算法已经实施到了在华南海中获取的3D深海窄方形实物数据。在3D结构张量算法的帮助下,可以实现用于3D定型术的高质量数据空间。它保证我们可以通过呈现的3D立体图算法获得可靠的倒置结果。倒置模型可以用作3D PriStack深度迁移的适合模型。合成和实际数据示例展示了上述几点。

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