在地震数据中消除强干扰,使用多变量变化模式提取
Zhichao Yu1, Yuyang Tan2, Yiran Lv1
1Key Laboratory of Deep Petroleum Intelligent Exploration and Development, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China.
Sensors (Basel, Switzerland)
|November 27, 2024
概括
本研究引入多变量变化模式提取 (MVME) 来消除地震数据中的机械振动干扰. 新方法有效地抑制噪音,提高信号质量和分析能力.
科学领域:
- 地质物理学 地质物理学
- 信号处理 信号处理
背景情况:
- 地震数据经常受到机械振动和电力设施干扰的影响,降低了信号噪声比 (S/N).
- 传统的噪声抑制方法,如隙过器和时间频率转换器,与非静止干扰作斗争,并可能扭曲有效的信号.
研究的目的:
- 开发一种有效的方法来消除地震数据中的机械振动干扰.
- 为了提高信号与噪声比 (S/N),并改进地震信号分析.
主要方法:
- 扩展变化模式提取 (VME) 到多变量形式 (MVME) 用于同时分析多个地震痕迹.
- 利用基于同步挤压的时间频率分析来识别干扰频率.
- 应用MVME从地震数据中提取和删除识别的干扰模式,使用最佳平衡因子.
主要成果:
- 使用合成数据,分析参数影响的证明有效性.
- 成功地将MVME方法应用于现场地震数据集.
- 与传统技术相比,实现了对机械振动干扰的优越抑制.
结论:
- 拟议的MVME方法显著改善了地震数据中的S/Ns.
- MVME 增强了地震信号的偏振分析.
- 这种技术为处理地震污染数据提供了强大的解决方案.
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