Waveform-based source location method using a source parameter isolation strategy

被引:9
|
作者
Huang, Chao [1 ]
Dong, Liang-Guo [1 ]
Liu, Yu-Zhu [1 ]
Yang, Ji-Zhong [1 ,2 ]
机构
[1] Tongji Univ, State Key Lab Marine Geol, Shanghai, Peoples R China
[2] Natl Univ Singapore, Dept Civil & Environm Engn, Singapore, Singapore
基金
中国国家自然科学基金;
关键词
MOMENT TENSOR INVERSIONS; FIELD; TIME; KERNELS;
D O I
10.1190/GEO2017-0062.1
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
We have developed a novel acoustic-wave-equation-based full-waveform source location method to locate microseismic events. With the acoustic-wave equation and source signature independent inversion strategy, source location parameters (hypocenter locations) can be isolated from others and can then be retrieved independently and accurately, even when the origin time and source signature are not correct. Based on the acoustic-wave equation, new Frechet derivatives of seismic waveforms with respect to the location parameters are derived to better accelerate the inversion process. To ease the cycle-skipping problem, a correlation is applied to select the best starting source positions. Some 2D and 3D numerical examples are presented to demonstrate the validity of our method. Compared with the waveform-based grid-search method, our method is effective in isolating the hypocenter locations from the source signature and origin time. The computational cost is nearly negligible compared with the waveform-based grid-search method. The robustness of our method is also tested for cases with inaccurate velocity models or using microseismic data with a signal-to-noise ratio of >= 0.2. Finally, field data are used to indicate the practical applicability of our method.
引用
收藏
页码:KS85 / KS97
页数:13
相关论文
共 50 条
  • [1] Automatic waveform-based source-location imaging using deep learning extracted microseismic signals
    Saad, Omar M.
    Chen, Yangkang
    GEOPHYSICS, 2020, 85 (06) : KS171 - KS183
  • [2] Waveform-based microseismic location using stochastic optimization algorithms: A parameter tuning workflow
    Li, Lei
    Tan, Jingqiang
    Xie, Yujiang
    Tan, Yuyang
    Walda, Jan
    Zhao, Zhengguang
    Gajewski, Dirk
    COMPUTERS & GEOSCIENCES, 2019, 124 : 115 - 127
  • [3] Fast and cheap approximation of Green function uncertainty for waveform-based earthquake source inversions
    Hallo, M.
    Gallovic, F.
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2016, 207 (02) : 1012 - 1029
  • [4] Outlier Issues in Harmonic Source Location Based on Parameter Identification Method
    Tang, Kexuan
    Shen, Chen
    Liang, Shuo
    Huang, Xiuqiong
    2016 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PESGM), 2016,
  • [5] Waveform-Based Speech Recognition Using Hidden Filter Models: Parameter Selection and Sensitivity to Power Normalization
    Sheikhzadeh, Hamid
    Deng, Li
    IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING, 1994, 2 (01): : 80 - 89
  • [6] Recent Advances and Challenges of Waveform-Based Seismic Location Methods at Multiple Scales
    Li, Lei
    Tan, Jingqiang
    Schwarz, Benjamin
    Stanek, Frantisek
    Poiata, Natalia
    Shi, Peidong
    Diekmann, Leon
    Eisner, Leo
    Gajewski, Dirk
    REVIEWS OF GEOPHYSICS, 2020, 58 (01)
  • [7] ESTIMATING LOCATION OF AN UNKNOWN WAVEFORM PULSE SIGNAL SOURCE
    BEKETOV, SV
    KOROLEV, AN
    POTAPOV, AV
    RADIOTEKHNIKA I ELEKTRONIKA, 1973, 18 (08): : 1598 - 1604
  • [8] A strategy for autonomous source searching using the Gaussian Mixture Model to fit the estimate of the source location
    Ji, Yatai
    Wang, Yiping
    Chen, Bin
    Zhao, Yong
    Zhu, Zhengqiu
    2021 IEEE 17TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), 2021, : 1817 - 1822
  • [9] A Hybrid Obstacle Avoidance Strategy Based On PSO In Source Location
    Zhao, MengShi
    Qiu, PengZhan
    Zhang, JunQi
    2021 13TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2021, : 126 - 131
  • [10] Location of impact in composite plates using waveform-based acoustic emission and Gaussian cross-correlation techniques
    Okafor, AC
    Chandrashekhara, K
    Jiang, YP
    SMART STRUCTURES AND MATERIALS 1996: SMART SENSING, PROCESSING, AND INSTRUMENTATION, 1996, 2718 : 291 - 302