联合灰度突变和方向约束的浅剖层位自动拾取

Automatic Horizon Picking on Sub-bottom Profiles Combining Gray Scale Mutation and Direction Constraint

  • 摘要: 针对目前浅地层剖面数据处理中层位人工拾取法存在的低效和受人为因素影响显著等问题以及半自动拾取法人工参与频繁的现状,提出了一种利用灰度突变和层位方向约束的浅地层层位自动拾取方法。首先,根据回波序列对浅地层层位的峰谷响应,给出了基于灰度突变的层位预拾取方法;其次,基于连续原则,提出了层位追踪和滤波方法,实现了离散层位点连续化和异常点剔除;然后,顾及同层位ping序列相关性及层位方向,提出了基于方向约束的层位生长法,实现了间断层位连接;最后,在此基础上给出层位拾取流程,并借助实验进行了验证。

     

    Abstract: In sub-bottom profile data processing, the artificial picking method is inefficient and can be influenced by human factors significantly, and the semi-automatic picking method needs the human intervention and the accuracy is low. In order to solve these problems, this paper proposes a method of using gray scale mutation and constraint of horizon direction to pick sub-bottom horizon automatically. Firstly, a pre-pick method based on gray scale mutation is used. Secondly, based on the continuity principle, a method of horizon tracking and filtering is proposed, which realizes the connecting of discrete horizon and filtering out of the irregular horizons. And then, taking the correlation of the ping sequence and horizon direction into consideration, a horizon growth method based on the direction constraint is proposed to realize the connectivity of discontinuous horizon. Finally, the process of horizon picking is given, and the results are verified by experiment.

     

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