基于重力梯度结构张量特征值斜导数边界识别方法及其在南海的应用

戴伟铭, 黄大年, 李桐林, 张功成. 2018. 基于重力梯度结构张量特征值斜导数边界识别方法及其在南海的应用. 地球物理学报, 61(6): 2494-2507, doi: 10.6038/cjg2018M0018
引用本文: 戴伟铭, 黄大年, 李桐林, 张功成. 2018. 基于重力梯度结构张量特征值斜导数边界识别方法及其在南海的应用. 地球物理学报, 61(6): 2494-2507, doi: 10.6038/cjg2018M0018
DAI WeiMing, HUANG DaNian, LI TongLin, ZHANG GongCheng. 2018. The edge detection method and its application in the south China sea based on the gravity gradient structure tensor eigenvalue. Chinese Journal of Geophysics (in Chinese), 61(6): 2494-2507, doi: 10.6038/cjg2018M0018
Citation: DAI WeiMing, HUANG DaNian, LI TongLin, ZHANG GongCheng. 2018. The edge detection method and its application in the south China sea based on the gravity gradient structure tensor eigenvalue. Chinese Journal of Geophysics (in Chinese), 61(6): 2494-2507, doi: 10.6038/cjg2018M0018

基于重力梯度结构张量特征值斜导数边界识别方法及其在南海的应用

  • 基金项目:

    国家重大科技专项(6ZX05026-007-01)子课题"南海重磁震地学断面综合研究(2016ZX05026-007-01)"资助

详细信息
    作者简介:

    戴伟铭, 男, 1987年生, 博士研究生, 主要从事位场数据处理及解释方面的研究.E-mail:daiwm12@mails.jlu.edu.cn

    通讯作者: 李桐林, 男, 1962年生, 教授, 博士生导师, 主要从事电磁法理论和应用研究.E-mail:litl@jlu.edu.cn
  • 中图分类号: P312;P738

The edge detection method and its application in the south China sea based on the gravity gradient structure tensor eigenvalue

More Information
  • 边界识别对地质构造解释具有十分重要的意义,其可以指出地下断层、接触带和其他构造单元的边界位置.现有的边界识别滤波器大多数基于重力梯度数据及其水平和垂直导数.然而,这些传统方法具有一定的局限性,对噪音的敏感,且不能有效的均衡深浅异常的振幅,尤其是当测量异常中同时出现正异常和负异常将产生假的边界结果,对后期构造解释带来误导.针对传统方法的缺点,本文提出Tilt-Eigen边界识别方法,利用重力梯度结构张量矩阵特征值通过倾斜角计算结果的最大值实现边界识别.通过理论模型试验,该方法不仅能均衡深部浅部振幅异常的边界,避免引入额外的虚假边界异常,且识别的边界结果更加准确、收敛.将Tilt-Eigen方法用于南海实际重力数据处理,获得了20条比较清晰的边界结果.根据这些边界结果,本文推断红河断裂往ES方向延伸到南海南部区域后,开始朝正南方向延伸,与越东万安断裂相连接;推断出南沙海槽东北部为古南海缝合带,而其西南部并不是缝合带,缝合带位于其南侧的文莱沙巴附近;将南海分为8个地质构造单元.

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  • 图 1 

    理轮模型1的重力梯度分量和不同探测器所得的边界

    Figure 1. 

    Gravity gradients of Synthetic model 1 and edge results identified by different methods

    图 2 

    图一模型的剖面结果

    Figure 2. 

    Profile results of model 1 shown in Fig. 1

    图 3 

    模型2的平面图和3D图

    Figure 3. 

    Plan view and 3D view of the model 2

    图 4 

    模型2的重力梯度分量及其边界结果

    Figure 4. 

    Gravity gradients of Synthetic model 2 and edge results identified by different methods

    图 5 

    理论模型2乘以10%的高斯噪音后的结果

    Figure 5. 

    The result of synthetic model 2corrupted by 10% Gaussian noise

    图 6 

    中国南海地区的布格重力异常

    Figure 6. 

    The bouger gravity of south China sea

    图 7 

    中国南海地区不同方法的边界结果

    Figure 7. 

    The edge results of south China sea

    图 8 

    结合南海底图的Tilt-Eigen边界结果

    Figure 8. 

    Tilt-Eigen edge results on map of south sea

    图 9 

    南海区域主要边界结果

    Figure 9. 

    The main edge results of the south China sea

    图 10 

    南海区域构造划分

    Figure 10. 

    Regional tectonic division of the south China sea

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出版历程
收稿日期:  2018-01-11
修回日期:  2018-04-18
上线日期:  2018-06-05

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