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

作　　者：李红军 李亚清 LI Hongjun;LI Yaqing(Institute of Exploration and Development,SINOPEC Shanghai Offshore Oil&Gas Company,Shanghai 200120,China)

机构地区：[1]中国石油化工股份有限公司上海海洋油气分公司勘探开发研究院,上海200120

出　　处：《海洋石油》2024年第2期29-34,共6页Offshore Oil

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。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.

关 键 词：海底节点 Vz噪声 四分量 模式识别 自适应减法 

分 类 号：P631.4[天文地球—地质矿产勘探]