基于簇检测的地震数据脉冲噪声压制方法
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吉林大学仪器科学与电气工程学院

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P631

基金项目:

国家自然科学基金项目(面上项目,重点项目,重大项目),中海油湛江分公司项目深海油气探测及生产智能优化技术研究


Seismic Data Impulse Noise Suppression Method Based on Cluster Detection
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College of Instrumentation and Electrical Engineering, Jilin University

Fund Project:

The National Natural Science Foundation of China (General Program, Key Program, Major Research Plan), The Research on Intelligent Optimization Technology of Deep-sea Oil and Gas Exploration and Production for CNOOC Zhanjiang Branch Project

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    摘要:

    地震记录中常伴有脉冲噪声干扰,严重影响地震数据分析的后续工作。这些噪声常表现为聚集状态,持续时间长,将其称之为脉冲噪声簇。使用中值滤波器进行脉冲噪声簇压制会大大损坏有效信号,而改进的决策中值滤波器不能有效的区分出脉冲噪声簇。因而,提出一种基于簇检测的脉冲噪声压制方法,首先使用长短时平均值比法(short-term average/long-term average, STA/LTA)对噪声进行判别和检测,然后进行同一脉冲噪声簇判别,以解决噪声的漏检问题,最后结合中值滤波器,自适应的伸缩滤波窗口对脉冲噪声簇进行滤波。合成和真实数据实例表明,相比于其他方法,本文方法可有效压制脉冲噪声簇,并使得有效信号损坏程度最小。

    Abstract:

    Seismic records are often accompanied by impulse noise interference, which seriously affects the follow-up work of seismic data analysis. These noises are often in a concentrated state and last for a long time, so they are called impulse noise clusters. The median filter used to suppress the impulse noise clusters will greatly damage the effective signal, and the improved decision-based median filter cannot effectively distinguish the impulse noise clusters. Therefore, an impulse noise suppression method based on cluster detection is proposed. First, the short-term average/long-term average (STA/LTA) algorithm is used to distinguish and detect the noise. Then the same impulse noise cluster is distinguished to solve the problem of missing noise detection. Finally, the filter window of the adaptively stretched median filter is used to filter the detected impulse noise clusters. Synthetic and real data examples show that, compared with other methods, the method in this paper can effectively suppress the impulse noise clusters and minimize the effective signal damage.

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引用本文

姜弢,胡秋月. 基于簇检测的地震数据脉冲噪声压制方法[J]. 科学技术与工程, , ():

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  • 收稿日期:2021-11-02
  • 最后修改日期:2022-03-22
  • 录用日期:2022-04-27
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