Method for Identifying Micro-seismic P-Arrival by Time-frequency Analysis Using Intrinsic Time-Scale Decomposition

Czasopismo : Acta Geophysica
Tytuł artykułu : Method for Identifying Micro-seismic P-Arrival by Time-frequency Analysis Using Intrinsic Time-Scale Decomposition

Autorzy :
Namvaran, M.
Kerman Graduate University of Technology, Geophysics Department, Kerman, Iran, m.namvaran@kgut.ac.ir,
Negarestni, A.
Kerman Graduate University of Technology, Electrical Engineering Department, Kerman, Iran, a.negarestani@kgut.ac.ir,
Grad, M.
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland, mgrad@mimuw.edu.pl,
Polkowski, M.
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland,
Wilde-Piórko, M.
Institute of Geophysics, Faculty of Physics, University of Warsaw, Warsaw, Poland,
Suchcicki, J.
Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland,
Arant, T.
Institute of Geophysics, Polish Academy of Sciences, Warsaw, Poland,
Teisseyre, R.
Institute of Geophysics, Polish Academy of Sciences, Warszawa, Poland, rt@igf.edu.pl,
Moilanen, J.
Lomonosov Moscow State University, Moscow, Russia, moilanen@mail.ru,
Pushkarev, P.Yu.
Lomonosov Moscow State University, Moscow, Russia, pavel_pushkarev@list.ru,
Sas, W.
Faculty of Civil- and Environmental Engineering, Warsaw University of Life Sciences (SGGW), Warsaw, Poland, wojciech_sas@sggw.pl,
Gabryś, K.
Faculty of Civil- and Environmental Engineering, Warsaw University of Life Sciences (SGGW), Warsaw, Poland, katarzyna_gabrys@sggw.pl,
Szymański, A.
Faculty of Civil- and Environmental Engineering, Warsaw University of Life Sciences (SGGW), Warsaw, Poland, ajozy_szymanski@sggw.pl,
Oliviera, S. D. S.
Faculty of Geophysics, Federal University of Para, Belem, Brazil; Faculty of Meteorology, Federal University of Para, Belem, Brazil , frasol@ufpa.br,
Figueredo, J. J. S.
Geoprocessados, Virlemosa, Mexico, lucas.batista.freitas@gmail.com,
Li, Ch.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Dai, Y.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Zhao, J.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Zhou, S.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Yin, J.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Xue, D.
School of Computer Engineering and Science, Shanghai University, Shanghai, China,
Wu, W.
State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum, Beijing, China, wwsheng@cup.edu.cn,
Niu, W.
State Key Laboratory of Petroleum Resource and Prospecting, China University of Petroleum, Beijing, China,
Tong, D.
Daqing Drilling Corporation, PetroChina, Daqing, China,
Luo, L.
CCDC Well Logging Company, Chongqing, China,
Zhang, R.
Department of Civil Engineering, North China Institute of Science and Technology, Sanhe-Hebei, China, zhangruihongw@163.com,
Zhang, L.
Department of Civil Engineering, North China Institute of Science and Technology, Sanhe-Hebei, China, zhanglihua@ncist.edu.cn,
Abstrakty : A method to identify the P-arrival of microseismic signals is proposed in this work, based on the algorithm of intrinsic timescale decomposition (ITD). Using the results of ITD decomposition of observed data, information of instantaneous amplitude and frequency can be determined. The improved ratio function of short-time average over long-time average and the information of instantaneous frequency are applied to the time-frequency-energy denoised signal for picking the P-arrival of the microseismic signal. We compared the proposed method with the wavelet transform method based on the denoised signal resulting from the best basis wavelet packet transform and the single-scale reconstruction of the wavelet transform. The comparison results showed that the new method is more effective and reliable for identifying P-arrivals of microseismic signals.

Słowa kluczowe : microearthquake, P-arrival, ITD, time-frequency analysis, denoising,
Wydawnictwo : Instytut Geofizyki PAN
Rocznik : 2015
Numer : Vol. 63, no. 2
Strony : 468 – 485
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DOI :
Cytuj : Namvaran, M. ,Negarestni, A. ,Grad, M. ,Polkowski, M. ,Wilde-Piórko, M. ,Suchcicki, J. ,Arant, T. ,Teisseyre, R. ,Moilanen, J. ,Pushkarev, P.Yu. ,Sas, W. ,Gabryś, K. ,Szymański, A. ,Oliviera, S. D. S. ,Figueredo, J. J. S. ,Li, Ch. ,Dai, Y. ,Zhao, J. ,Zhou, S. ,Yin, J. ,Xue, D. ,Wu, W. ,Niu, W. ,Tong, D. ,Luo, L. ,Zhang, R. ,Zhang, L. , Method for Identifying Micro-seismic P-Arrival by Time-frequency Analysis Using Intrinsic Time-Scale Decomposition. Acta Geophysica Vol. 63, no. 2/2015
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