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Surface‐related multiple prediction for ocean‐bottom node data based on demigration using downgoing wave imaging data.

Authors :
Tan, Jun
Wang, Jianhua
Song, Peng
Wang, Shaowen
Xia, Dongming
Du, Guoning
Wang, Qianqian
Source :
Geophysical Prospecting. May2024, Vol. 72 Issue 4, p1204-1221. 18p.
Publication Year :
2024

Abstract

Ocean‐bottom node exploration has developed rapidly in marine seismic exploration. However, due to no illumination for the seafloor, and the observation system of the 'less traces but more shots' mode, the conventional surface‐related multiples elimination meets challenges for the application in the ocean‐bottom node exploration. This paper develops a new three‐dimensional surface‐related multiples elimination technique for ocean‐bottom node data. First, a three‐dimensional Kirchhoff pre‐stack time mirror migration algorithm is proposed to realize the accurate imaging for the seabed. Second, the time domain Kirchhoff demigration method is used to construct the contribution traces for multiples prediction. Finally, the surface multiples can be predicted based on the equation derived in the paper. Model tests and field data processing prove that our method can accurately predict the surface‐related multiples for ocean‐bottom node data and be helpful to the multiple elimination, which shows that the proposed technique has potential in actual ocean‐bottom node data processing. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00168025
Volume :
72
Issue :
4
Database :
Academic Search Index
Journal :
Geophysical Prospecting
Publication Type :
Academic Journal
Accession number :
176927539
Full Text :
https://doi.org/10.1111/1365-2478.13359