中文版 | English
Title

P- and S-wave energy current density vectors dot product imaging condition of source time-reversal imaging

Author
Corresponding AuthorZhang,Wei
Publication Years
2023-09-01
DOI
Source Title
ISSN
0956-540X
EISSN
1365-246X
Volume234Issue:3Pages:2180-2198
Abstract
Source time-reversal imaging (TRI) based on decoupled elastic wave equation can utilize vector P- and S-wave time differences and achieve high-precision source location in complex geological models. The imaging condition is critical for TRI. However, because of the orthogonally polarized properties of P and S waves, traditional vector dot product imaging condition directly applied to TRI will decrease the effective imaging values. In contrast, the energy current density vectors of P and S waves represent the propagation directions of the wavefields and are almost parallel. Their dot product can result in the maximum imaging energy. Based on this principle, we propose a P- and S-wave energy current density vectors dot product imaging condition (PSEDPIC), which uses the propagation direction information of P and S waves at the source point to suppress imaging artefacts generated by waves with inconsistent propagation directions. Numerical tests reveal that PSEDPIC can (1) reduce the image artefacts, (2) improve the imaging spatial resolution and (3) allow a shallower imaging region. In addition, if the numerical simulation algorithm used in TRI can reconstruct the seismic wavefield accurately in the presence of surface topography, the impact of an observation system with elevation differences on imaging can be eliminated automatically. For this reason, we use the curvilinear grid finite-difference method to directly reconstruct the wavefield in TRI to solve the problem of data elevation correction. The test results of 3-D synthetic and field data for microseismic monitoring demonstrate the effectiveness of the proposed method.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Corresponding
Funding Project
National Natural Science Foundation of China[41974122];National Natural Science Foundation of China[42174128];
WOS Research Area
Geochemistry & Geophysics
WOS Subject
Geochemistry & Geophysics
WOS Accession No
WOS:000995030800002
Publisher
ESI Research Field
GEOSCIENCES
Scopus EID
2-s2.0-85161079007
Data Source
Scopus
Citation statistics
Cited Times [WOS]:1
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/559697
DepartmentDepartment of Earth and Space Sciences
Affiliation
1.School of Astronautics,Harbin Institute of Technology,Harbin,150001,China
2.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China
3.Shenzhen Key Laboratory of Deep Offshore Oil and Gas Exploration Technology,Southern University of Science and Technology,Shenzhen,518055,China
4.Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology,Southern University of Science and Technology,Shenzhen,518055,China
5.BGP Inc.,China National Petroleum Corporation,Zhuozhou,072750,China
First Author AffilicationDepartment of Earth and Space Sciences
Corresponding Author AffilicationDepartment of Earth and Space Sciences;  Southern University of Science and Technology
Recommended Citation
GB/T 7714
Hu,Nan,Zhang,Wei,Xu,Jincheng,et al. P- and S-wave energy current density vectors dot product imaging condition of source time-reversal imaging[J]. Geophysical Journal International,2023,234(3):2180-2198.
APA
Hu,Nan,Zhang,Wei,Xu,Jincheng,Yang,Hui,&Li,Yanpeng.(2023).P- and S-wave energy current density vectors dot product imaging condition of source time-reversal imaging.Geophysical Journal International,234(3),2180-2198.
MLA
Hu,Nan,et al."P- and S-wave energy current density vectors dot product imaging condition of source time-reversal imaging".Geophysical Journal International 234.3(2023):2180-2198.
Files in This Item:
There are no files associated with this item.
Related Services
Fulltext link
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Export to Excel
Export to Csv
Altmetrics Score
Google Scholar
Similar articles in Google Scholar
[Hu,Nan]'s Articles
[Zhang,Wei]'s Articles
[Xu,Jincheng]'s Articles
Baidu Scholar
Similar articles in Baidu Scholar
[Hu,Nan]'s Articles
[Zhang,Wei]'s Articles
[Xu,Jincheng]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hu,Nan]'s Articles
[Zhang,Wei]'s Articles
[Xu,Jincheng]'s Articles
Terms of Use
No data!
Social Bookmark/Share
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.