Marchenko Imaging From Rugged Topography in Mountainous Areas

被引:0
|
作者
Chen, Xiaochun [1 ,2 ]
Hu, Yezheng [1 ,2 ]
Huang, Xuri [1 ,2 ]
Chen, Kang [3 ]
Peng, Haotian
Liu, Xiaobing
Chen, Kai [1 ,2 ]
机构
[1] Southwest Petr Univ, Sch Geosci & Technol, Chengdu 610500, Peoples R China
[2] Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploitat, Chengdu 610500, Peoples R China
[3] Petro China Southwest Oil & Gas Field Co, Explorat & Dev Res Inst, Chengdu 610500, Peoples R China
基金
中国国家自然科学基金;
关键词
Surfaces; Radio frequency; Green's function methods; Focusing; Surface topography; Receivers; Deconvolution; Elevation-static correction; floating datum; Marchenko imaging; rugged topography;
D O I
10.1109/LGRS.2023.3334221
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Marchenko imaging has the particular ability to generate the subsurface image free of spurious artifacts related to internal multiples. However, conventional Marchenko imaging (C-MI) is performed based on the assumption that the sources and receivers of the recorded seismic data are placed on a flat surface, which is restrictive and hard to satisfy in mountainous areas with rugged topography. The elevation-static correction (or time shift) is a usual solution to ensure this assumption holds. But it only works well if the surface consistency is satisfied. To alleviate the limitations of C-MI in processing seismic data acquired from mountainous areas with rugged topography, we present a technique for conducting Marchenko imaging from a floating datum. The proposed Topography-Marchenko imaging (T-MI) is achieved by estimating an initial down-going focusing function between a floating datum and a focal point in the subsurface. In this work, we use seismic data corrected to a floating datum rather than a final datum as input to the iterative Marchenko scheme to retrieve Green's functions. The retrieved Marchenko Green's functions are further used to generate the subsurface image. The T-MI method can effectively avoid imaging distortions caused by the elevation-static correction. The proposed T-MI method is validated through applications to a synthetic model with rugged topography and a land dataset acquired from a mountainous area in Northwest Sichuan, China.
引用
收藏
页码:1 / 5
页数:5
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