摘要
纵横波分离是多分量地震资料处理过程中必不可少的环节,不彻底的纵横波分离将显著影响处理质量,因此研究纵横波分离对于多分量资料处理具有重要的实际意义.本文详细总结了地震波场纵横波分离的理论、方法及技术现状,主要包括地震记录分离和地震波场快照分离.基于分离所采用原理不同,地震记录纵横波分离主要包括Radon变换法、偏振滤波以及波场延拓法等三类方法;基于偏振矢量求取方法不同,地震波场快照纵横波分离也发展了多种不同的方法.之后,详细阐述了基于人工智能技术的智能纵横波分离方法,该方法不依赖介质参数,计算效率高.智能纵横波分离方法目前仍处在探索阶段,虽然已经取得一些效果,但仍有较大的发展潜力,是地震波场纵横波分离方法的重要发展方向.
P/S wavefield separation is an essential step in the process of multi-component seismic data processing.Separating P-and S-wavefields incompletely can obvious affect processing quality.So,there is of important practical significance for multi-component seismic data processing to study the P/S wavefield separation method.This paper detailed reviews the theory,methods and technologies of P/S wavefield separation.There are mainly including seismic record separation and wavefield snapshot separation.Based on different separation principles,P/S wavefield separation of seismic record mainly contains the Radon transform method,the polarization filtering method,and the wavefield extrapolation method.For P/S wavefield separation of snapshots,based on the different methods of calculating polarization vector,many different methods have been developed.After that,we elaborate the intelligent P/S wavefield separation method based on artificial intelligence technology,which doesn't depend on medium elastic parameters and has high efficiency.At present,intelligent P/S wavefield separation method is still in the exploratory stage.Although some results have been achieved,it still has great development potential and is an important development direction of the P/S wave separation method in future.
作者
孙志广
谷丙洛
张永杰
燕新跃
李振春
SUN ZhiGuang;GU BingLuo;ZHANG YongJie;YAN XinYue;LI ZhenChun(China University of Petroleum(East China),Qingdao 266580,China)
出处
《地球物理学进展》
CSCD
北大核心
2023年第3期1169-1190,共22页
Progress in Geophysics
基金
国家自然科学基金项目(42004093)
山东省自然科学基金项目(ZR2020QD050)联合资助。
关键词
纵横波分离
RADON变换
偏振滤波
波场延拓
人工智能
P
S wavefield separation
Radon transform
Polarization filter
Wavefield extrapolation
Artificial intelligence