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Common-Reflection-Point-Based Prestack Depth Migration for Imaging Lithosphere in Python: Application to the Dense Warramunga Array in Northern Australia

文献类型：期刊论文

作者Sun, Weijia1; Kennett, Brian L. N.2
刊名SEISMOLOGICAL RESEARCH LETTERS
出版日期2020-09-01
卷号91期号:5页码:2890-2899
ISSN号0895-0695
DOI10.1785/0220200078
英文摘要We exploit estimates of P-wave reflectivity from autocorrelation of transmitted teleseismic Parrivals and their coda in a common reflection point (CRP) migration technique. The approach employs the same portion of the vertical-component seismogram, as in standard Ps receiver function analysis. This CRP prestack depth migration approach has the potential to image lithospheric structures on scales as fine as 4 km or less. The P-wave autocorrelation process and migration are implemented in open-source software-the autocorrelogram calculation (ACC) package, which builds on the widely used the seismological Obspy toolbox. The ACC package is written in the open-source and free Python programming language (3.0 or newer) and has been extensively tested in an Anaconda Python environment. The package is simple and friendly to use and runs on all major operating systems (e.g., Windows, macOS, and Linux). We utilize Python multiprocessing parallelism to speed up the ACC on a personal computer system, or servers, with multiple cores and threads. The application of the ACC package is illustrated with application to the closely spaced Warramunga array in northern Australia. The results show how finescale structures in the lithospheric can be effectively imaged at relatively high frequencies. The Moho ties well with conventional H-kappa receiver analysis and deeper structure inferred from stacked autocorrelograms for continuous data. CRP prestack depth migration provides an important complement to common conversion point receiver function stacks, since it is less affected by surface multiples at lithospheric depths.
WOS关键词AMBIENT NOISE ; AUTOCORRELATION ; DISCONTINUITIES ; ASTHENOSPHERE ; BENEATH ; WESTERN ; MOHO
资助项目National Key R&D Program of China[2017YFC0601206] ; National Natural Science Foundation of China[41720104006] ; National Natural Science Foundation of China[41774060] ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS)[2017094] ; Research School of Earth Sciences, Australian National University
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000568693700005
出版者SEISMOLOGICAL SOC AMER
资助机构National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Key R&D Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Youth Innovation Promotion Association Chinese Academy of Sciences (CAS) ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University ; Research School of Earth Sciences, Australian National University
源URL[http://ir.iggcas.ac.cn/handle/132A11/98238]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
通讯作者Sun, Weijia
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing, Peoples R China
2.Australian Natl Univ, Res Sch Earth Sci, Canberra, ACT, Australia
推荐引用方式
GB/T 7714		 Sun, Weijia,Kennett, Brian L. N.. Common-Reflection-Point-Based Prestack Depth Migration for Imaging Lithosphere in Python: Application to the Dense Warramunga Array in Northern Australia[J]. SEISMOLOGICAL RESEARCH LETTERS,2020,91(5):2890-2899.
APA Sun, Weijia,&Kennett, Brian L. N..(2020).Common-Reflection-Point-Based Prestack Depth Migration for Imaging Lithosphere in Python: Application to the Dense Warramunga Array in Northern Australia.SEISMOLOGICAL RESEARCH LETTERS,91(5),2890-2899.
MLA Sun, Weijia,et al."Common-Reflection-Point-Based Prestack Depth Migration for Imaging Lithosphere in Python: Application to the Dense Warramunga Array in Northern Australia".SEISMOLOGICAL RESEARCH LETTERS 91.5(2020):2890-2899.

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来源：地质与地球物理研究所

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