Exploring the potentials and limitations of the time-reversal imaging of finite seismic sources

被引:36
|
作者
Kremers, S. [1 ]
Fichtner, A. [1 ]
Brietzke, G. B. [1 ]
Igel, H. [1 ]
Larmat, C. [2 ]
Huang, L. [2 ]
Kaeser, M. [1 ]
机构
[1] Univ Munich, Dept Earth & Environm Sci, D-80333 Munich, Germany
[2] Los Alamos Natl Lab, Geophys Grp EES 17, Los Alamos, NM 87545 USA
关键词
EARTHQUAKE SOURCES; SOURCE PARAMETERS; ADJOINT METHODS; TOMOGRAPHY; ASSIMILATION; SEISMOLOGY; ACOUSTICS; INVERSION; MODELS; VALLEY;
D O I
10.5194/se-2-95-2011
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
The characterisation of seismic sources with time-reversed wave fields is developing into a standard technique that has already been successful in numerous applications. While the time-reversal imaging of effective point sources is now well-understood, little work has been done to extend this technique to the study of finite rupture processes. This is despite the pronounced non-uniqueness in classic finite source inversions. The need to better constrain the details of finite rupture processes motivates the series of synthetic and real-data time reversal experiments described in this paper. We address questions concerning the quality of focussing in the source area, the localisation of the fault plane, the estimation of the slip distribution and the source complexity up to which time-reversal imaging can be applied successfully. The frequency band for the synthetic experiments is chosen such that it is comparable to the band usually employed for finite source inversion. Contrary to our expectations, we find that time-reversal imaging is useful only for effective point sources, where it yields good estimates of both the source location and the origin time. In the case of finite sources, however, the time-reversed field does not provide meaningful characterisations of the fault location and the rupture process. This result cannot be improved sufficiently with the help of different imaging fields, realistic modifications of the receiver geometry or weights applied to the time-reversed sources. The reasons for this failure are manifold. They include the choice of the frequency band, the incomplete recording of wave field information at the surface, the excitation of large-amplitude surface waves that deteriorate the depth resolution, the absence of a sink that should absorb energy radiated during the later stages of the rupture process, the invisibility of small slip and the neglect of prior information concerning the fault geometry and the inherent smoothness of seismo-logically inferred Earth models that prevents the beneficial occurrence of strong multiple-scattering. The condensed conclusion of our study is that the limitations of time-reversal imaging - at least in the frequency band considered here - start where the seismic source stops being effectively point-localised.
引用
收藏
页码:95 / 105
页数:11
相关论文
共 50 条
  • [31] Attenuation compensation for time-reversal imaging in VTI media
    Bai, Tong
    Zhu, Tieyuan
    Tsvankin, Ilya
    GEOPHYSICS, 2019, 84 (04) : C205 - C216
  • [32] On the sensitivity of time-reversal Imaging techniques to model perturbations
    Yavuz, Mehmet E.
    Teixeira, Fernando L.
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 2008, 56 (03) : 834 - 843
  • [33] On the numerical implementation of time-reversal mirrors for tomographic imaging
    Masson, Yder
    Cupillard, Paul
    Capdeville, Yann
    Romanowicz, Barbara
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2014, 196 (03) : 1580 - 1599
  • [34] Time-reversal and the adjoint imaging method with an application in telecommunication
    Dorn, Oliver
    INVERSE PROBLEMS AND IMAGING, 2008, 1943 : 135 - 170
  • [35] A Microwave Tomography System Using Time-Reversal Imaging
    Doroshewitz, John
    Merlo, Jason
    Oakley, Christopher
    Udpa, Lalita
    Nanzer, Jeffrey A.
    MacFarlane, David
    Huff, Emily
    Mukherjee, Saptarshi
    2019 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION AND USNC-URSI RADIO SCIENCE MEETING, 2019, : 583 - 584
  • [36] Microwave imaging using a time-reversal radar system
    Belkebir, K.
    Bellomo, L.
    Pioch, S.
    Saillard, M.
    Chaumet, P. C.
    ICEAA: 2009 INTERNATIONAL CONFERENCE ON ELECTROMAGNETICS IN ADVANCED APPLICATIONS, VOLS 1 AND 2, 2009, : 723 - 723
  • [37] Electromagnetic Time-Reversal Imaging of the Remote Aerial Targets
    Zhu, Jianglong
    Zong, Xianzheng
    Nie, Zaiping
    2018 CROSS STRAIT QUAD-REGIONAL RADIO SCIENCE AND WIRELESS TECHNOLOGY CONFERENCE (CSQRWC), 2018,
  • [38] Reconstruction of Arbitrarily Shaped Sources with Electromagnetic Time-Reversal and Kurtosis
    Li, Juan
    Chen, Zhizhang David
    Feng, Xiaoyao
    Cai, Jun
    Xu, Zhimeng
    2024 IEEE/MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM, IMS 2024, 2024, : 824 - 826
  • [39] DOA imaging algorithm based on time-reversal theory
    Fu, Yong qing
    Xia, Yun long
    ICIEA 2007: 2ND IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-4, PROCEEDINGS, 2007, : 2109 - 2112
  • [40] Time-reversal Imaging for wideband underwater target classification
    Liu, HW
    Dasgupta, N
    Carin, L
    2003 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL V, PROCEEDINGS: SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO AND ELECTROACOUSTICS MULTIMEDIA SIGNAL PROCESSING, 2003, : 5 - 8