摘要
自由表面多次波压制(SRME)方法是海洋地震数据处理中的关键步骤。当存在崎岖海底条件时,绕射波十分发育,常规SRME算法很难将复杂绕射多次波有效消除。对压制效果较差的多次波进行成因分析,首先基于f-x EMD波场分离算法,将全数据分解为反射部分和绕射部分,再对其进行多次波预测,获得绕射预测多次波子集:反射-绕射预测多次波、绕射-反射预测多次波和绕射-绕射预测多次波。然后,改进常规SRME算法的迭代过程,在SRME的迭代过程中使用与原数据中多次波更加匹配的绕射多次波子集进行多次波压制。与常规SRME算法的对比结果表明,改进的SRME算法在理论数据和实际数据处理中对多次波的压制都取得更好的效果。
Surface-related multiple elimination(SRME) is a key step in marine seismic data processing. However, under rough seabed conditions, diffractions are well developed, and the conventional SRME can hardly eliminate complex diffracted multiples. To analyze the causes of multiples with poor suppression effect, firstly we proposed wavefield separation based on f-x EMD to separate the whole data into a reflection part and a diffraction part, so that the multiple prediction can be carried out with these different subsets of the input data, and then the new subsets of predicted multiples can be obtained as reflected-diffracted predicted multiples, diffracted-reflected predicted multiples, and diffracted-diffracted predicted multiples. Further, we modified the interactive process of the conventional SRME by using the better matched diffracted multiple subsets to eliminate multiples. Compared with the conventional SRME, our improved SRME achieved better multiple attenuation results in both synthetic data and field data.
作者
王睿
王德利
胡斌
王铁兴
王通
崔亚龙
Wang Rui;Wang Deli;Hu Bin;Wang Tiexing;Wang Tong;Cui Yalong(College of GeoExploration Science and Technology,Jilin University,Changchun 130026,China;Institute of Geophysical and Geochemical Exploration,Chinese Academy of Geological Sciences,Langfang 065000,Hebei,China;Jilin Zhongdi Geotechnical Engineering Co.LTD,Changchun 130000,China)
出处
《吉林大学学报（地球科学版）》
EI
CAS
CSCD
北大核心
2021年第2期597-606,共10页
Journal of Jilin University：Earth Science Edition
基金
国家科技重大专项项目(2016ZX05026-002-003)
国家自然科学基金项目(41374108)。
关键词
自由表面多次波压制
f-x
EMD波场分离
反射-绕射预测多次波
绕射-反射预测多次波
绕射-绕射预测多次波
surface-related multiple elimination
f-x EMD wavefield separation
reflected-diffracted predicted multiples
diffracted-reflected predicted multiples
diffracted-diffracted predicted multiples
