Application of 3D stereotomography to the deep-sea data acquired in the South China Sea:a tomography inversion case  

基于结构张量算法的南海深水三维立体层析反演实例研究（英文）

作　　者：邢逢源 杨锴[1] 薛冬 汪小将 陈宝书 

机构地区：[1]同济大学海洋地质国家重点实验室,上海200092 [2]中海石油研究中心,北京100027

出　　处：《Applied Geophysics》2017年第1期142-153,191,192,共14页应用地球物理（英文版）

基　　金：funded by China Natural Science Foundation(Nos.41574098 and 41630964);China key specialized project(No.2016ZX05026-001-03)

摘　　要：A 3D stereotomography algorithm, which is derived from the 3D Cartesian coordinate, is applied for the first time to the deep-sea data acquired in the LH area, South China Sea, to invert a macro velocity model for pre-stack depth migration. The successful implementation of stereotomography is highly dependent on the correct extraction of slowness components and the proper application of regularization terms. With the help of the structure tensor algorithm, a high-quality 3D stereotomography data space is achieved in a very efficient manner. Then, considering that the horizontal slowness in cross-line direction is usually unavailable for 3D narrow-azimuth data, the regularization terms must be enhanced to guarantee a stable convergence of the presented algorithm. The inverted model serves as a good model for the 3D pre-stack depth migration. The synthetic and real data examples demonstrated the robustness and effectiveness of the presented algorithm and the related schemes.本文首次将三维直角坐标系下导出的三维立体层析反演方法用于南海深水三维实际数据的偏移速度建模。三维立体层析反演的成功应用依赖于射线参数水平分量的正确提取以及则化项的正确实施,二者缺一不可。本文首先通过结构张量算法实现了对三维立体层析数据空间中最重要的数据分量:射线参数水平分量的高效率提取;其次,由于海洋三维数据具有炮线间距较大同时垂直于炮线方向的射线参数水平分量无法得到的特殊性,强化了规则化项的应用,最终够保证了算法的稳健收敛,反演得到的模型可以很好的服务于叠前深度偏移。基于三维理论数据与南海某实际三维数据的数值实验证实了算法以及实现策略的稳健性和可靠性。

关 键 词：3D stereotomography structure tensor extraction of horizontal components of slowness REGULARIZATION 

分 类 号：P631.4[天文地球—地质矿产勘探]