中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Improved shallow water demultiple method with multichannel prediction operators

文献类型:期刊论文

作者Zhou XiaoPeng1,2,3; Liu YiKe1,3; Li Peng4
刊名CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
出版日期2019-02-01
卷号62期号:2页码:667-679
关键词Shallow water Multiple suppression Water-layer related multiples Adaptive subtraction
ISSN号0001-5733
DOI10.6038/cjg2018M0260
英文摘要Shallow water demultiple faces difficulties because of missing near offsets in the input data. Attenuating water-layer related multiples with multichannel prediction operators has become one of the most important shallow water demultiple techniques. This method first estimates the multichannel prediction operators from the input data, then predicts the water-layer related multiples by convolving the estimated operators with the input data. However, the estimated multichannel prediction operators are easily contaminated with noise, which affects the accuracy of the multiple model. Therefore, we have proposed an improved shallow water demultiple method with multichannel prediction operators. The proposed method first estimates the multichannel prediction operators from the input data as well and constructs an accurate water-layer model ; then modifies the estimated operators based on 3 procedures, including calculating the traveltime information of the water-bottom, estimating the waveform information, and constructing the new operators. The modified operators are used to predict the water-layer related multiples. The water-layer related multiple free data can be obtained by adaptively subtracting the predicted multiples from the input data. Numerical examples with a synthetic dataset and a shallow water field dataset show that our proposed method can achieve a superior performance as compared to the method with original multichannel prediction operators.
WOS关键词REVERSE TIME MIGRATION ; MULTIPLE ELIMINATION ; SPARSE INVERSION ; MATCHING FILTER ; ATTENUATION ; SCATTERING ; PRIMARIES
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000457642800018
出版者SCIENCE PRESS
源URL[http://ir.iggcas.ac.cn/handle/132A11/90556]  
专题地质与地球物理研究所_中国科学院矿产资源研究重点实验室
通讯作者Zhou XiaoPeng
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Earth Sci, Beijing 100029, Peoples R China
4.CNPC, BGP, Res & Develop Ctr, Zhuozhou 072750, Hebei, Peoples R China
推荐引用方式
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Zhou XiaoPeng,Liu YiKe,Li Peng. Improved shallow water demultiple method with multichannel prediction operators[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2019,62(2):667-679.
APA Zhou XiaoPeng,Liu YiKe,&Li Peng.(2019).Improved shallow water demultiple method with multichannel prediction operators.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,62(2),667-679.
MLA Zhou XiaoPeng,et al."Improved shallow water demultiple method with multichannel prediction operators".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 62.2(2019):667-679.

入库方式: OAI收割

来源:地质与地球物理研究所

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