基于变分模态分解的动态阈值分区滤波方法

发布时间：2018-05-17 18:38

  本文选题：保边去噪 + 变分模态分解　； 参考：《中国科技论文》2017年21期

【摘要】：为了更好地对地震资料进行保边去噪处理,提出了1种基于变分模态分解(variational mode decomposition,VMD)的动态阈值分区滤波方法。该方法通过在不同频带上针对分布强度不同的噪声进行自适应的阈值判断处理,将频带数据分为2个分别代表噪声和边界结构信息的特征区域,再对这2个区域选择适当的滤波方法进行噪声滤除。模型和实际资料验证结果表明,该方法不仅能提高地震资料信噪比而且保护并恢复了地层不连续性信息。
[Abstract]:In order to improve the edge preserving denoising processing of seismic data, a dynamic threshold partition filtering method based on variational mode decomposition (VMD) is proposed. In this method, the frequency band data are divided into two characteristic regions representing the noise and boundary structure information, respectively, by the adaptive threshold judgment processing for the noise with different distribution intensity in different frequency bands, and the frequency band data is divided into two characteristic regions, which represent noise and boundary structure information respectively. Then the appropriate filtering methods are selected for the two regions to remove the noise. The verification results of the model and the actual data show that the proposed method can not only improve the signal-to-noise ratio of seismic data, but also protect and restore the formation discontinuity information.
【作者单位】： 成都理工大学数学地质四川省重点实验室;西南石油大学理学学院;
【基金】：国家自然科学基金资助项目(41304111) 四川省科技厅重点项目(2016JY0200) 四川省教育厅重点项目(17ZA0030,16ZB0101,14ZA0061,13ZA0205)
【分类号】：P631.44
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本文编号：1902426