留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码
李红军, 李亚清. 基于海底节点四分量的Vz噪声识别及压制技术研究[J]. 海洋石油, 2024, 44(2): 29-34. DOI: 10.3969/j.issn.1008-2336.2024.02.029
引用本文: 李红军, 李亚清. 基于海底节点四分量的Vz噪声识别及压制技术研究[J]. 海洋石油, 2024, 44(2): 29-34. DOI: 10.3969/j.issn.1008-2336.2024.02.029
LI Hongjun, LI Yaqing. Research on Vz Noise Recognition and Suppression Technology Based on Four Components of Submarine Nodes[J]. Offshore oil, 2024, 44(2): 29-34. DOI: 10.3969/j.issn.1008-2336.2024.02.029
Citation: LI Hongjun, LI Yaqing. Research on Vz Noise Recognition and Suppression Technology Based on Four Components of Submarine Nodes[J]. Offshore oil, 2024, 44(2): 29-34. DOI: 10.3969/j.issn.1008-2336.2024.02.029

基于海底节点四分量的Vz噪声识别及压制技术研究

Research on Vz Noise Recognition and Suppression Technology Based on Four Components of Submarine Nodes

  • 摘要: 海底节点地震数据处理时“横波泄露噪声”或“Vz噪声”的压制是去噪处理中的关键环节之一。通常方法是基于P分量模式识别Z分量中的Vz噪声。但在应用中,发现很难通过P分量构架的噪声模型将Z分量中的VZ噪声完全压制干净。因此,该文充分利用OBN(Ocean Bottom Node)数据四分量的优势,提出一种联合R、T、P分量对Z分量噪声进行模式识别和模型构建,进而压制Vz噪声的处理方法。通过本方法,可以更好地提取Z分量中存在的横波噪声,相比原方法具有更好的去噪效果。

     

    Abstract: The suppression of "shear wave leakage noise" or "Vz noise" is one of the key steps in the de-noising process of submarine node seismic data processing. The usual method is to suppress Vz noise completely in Z component based on P component pattern. However, in practice, it is difficult to suppress the Vz noise completely through the noise model of P component architecture. Therefore, this paper makes full use of the advantages of four components of OBN (Ocean Bottom Node) data, and proposes a processing method that combines R, T and P components for pattern recognition and model construction of Z component noise, and then suppress Vz noise. This method can better extract shear wave noise in Z component, which has better denoising effects compared to the original method.

     

/

返回文章
返回