石油地球物理勘探2025,Vol.60Issue(5):1124-1133,10.DOI:10.13810/j.cnki.issn.1000-7210.20240292
曲波域逆散射级数层间多次波压制方法
Inverse scattering series method for interbed multiple suppression in curvelet domain
摘要
Abstract
In seismic exploration,multiples pose a significant issue,particularly in marine exploration.This study developed a method for suppressing interbed multiples based on the inverse scattering series method in the curvelet domain.The curvelet transform(CT),as a multi-scale and multi-directional transformation method,can sparsely represent seismic data,facilitating the capture of the main features of seismic data.By combining CT with the inverse scattering series method,the seismic data was first converted to the curvelet domain using CT.Then,the interbed multiples were predicted in the curvelet domain through the inverse scattering series method.This approach did not require building a model of the subsurface medium,offering high applicability and practicality.Furthermore,CT can sparsely represent seismic data,reducing the computational load of the inverse scattering series method.By performing an inverse CT on the predicted multiples,they were recon-structed in the time-space domain and subtracted from the original seismic data,ultimately obtaining the effec-tive signal with suppressed multiples.The numerical experiments demonstrate that this method not only signifi-cantly improves computational efficiency but also reduces memory consumption while ensuring accuracy.This study provides an innovative approach for suppressing multiples in seismic data processing and is expected to play an important role in practical seismic exploration.关键词
逆散射级数法/曲波变换/层间多次波/地震数据重建Key words
inverse scattering series method/curvelet transform/interbed multiple/seismic data reconstruction分类
天文与地球科学引用本文复制引用
张政,李振春,李志娜,段文胜,赵锐锐,向平奥..曲波域逆散射级数层间多次波压制方法[J].石油地球物理勘探,2025,60(5):1124-1133,10.基金项目
本项研究受国家自然科学基金项目"面向深层岩性油气藏的黏弹性参数反演成像方法研究"(42074133)、中国石油塔里木油田公司项目"深层多次波压制技术深化应用"(041023050060)、中国石油重大科技合作项目课题"塔里木盆地深层复杂高陡构造与碳酸盐岩储层地震速度建模及成像关键技术研究"(ZD2019-183-003)、深层油气国家重点实验室基金项目"面向深层海洋地震资料的多次波智能成像方法研究"(SKLDOG2024-ZYTS-05)及青岛自然科学基金项目"深海区多次波驱动地震资料智能重建及成像方法研究"(24-4-4-ZRJJ-186-JCH)联合资助. (42074133)