Improved shallow water demultiple method with multichannel prediction operators | |
Zhou XiaoPeng1,2,3; Liu YiKe1,3; Li Peng4 | |
刊名 | CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION
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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 |
DOI | 10.6038/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 |
出版者 | SCIENCE PRESS |
WOS记录号 | WOS:000457642800018 |
内容类型 | 期刊论文 |
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 GB/T 7714 | 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. |
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