[1]YAO Jiaqi,CAO Wenzhong,YE Beng,et al.Effects of Nonlinear Stacking and Zero-phase Processing on Signal Extraction from Airgun Source Waveform[J].Journal of Seismological Research,2017,40(04):581-594.
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Journal of Seismological Research[ISSN 1000-0666/CN 53-1062/P] Volume:
40
Number of periods:
2017 04
Page number:
581-594
Column:
主动源专栏
Public date:
2017-09-20
- Title:
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Effects of Nonlinear Stacking and Zero-phase Processing on Signal Extraction from Airgun Source Waveform
- Author(s):
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YAO Jiaqi1; CAO Wenzhong1; YE Beng1; 2; ZHANG Wei3
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(1.Laboratory of Seismology and Physics of Earth's Interior,School of Earth and Space Sciences,University of Science and Technology of China,Hefei 230026,Anhui,China)(2.Western Yunnan Earthquake Prediction Study Area,China Earthquake Administration,Dali 6
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- Keywords:
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active source; airgun seismic source; zero-phase processing nonlinear stacking; signal extraction
- CLC:
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P315.3
- DOI:
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- Abstract:
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We investigate whether using zero-phase waveform record can reduce the influence of nonlinear stacking on the effective signals extracted from low signal-noise ratio data by evaluating the fitness of traveltime and waveform quantitatively.Then semblance weighted stacking,time-domain phase weighted stacking,time-frequency domain phase weighted stacking and improved time-frequency domain weighted stacking methods are applied to process the synthetic data and real data of air-gun experiment in Binchuan,Yunnan.The results show that:(1)zero-phase processing can significantly improve the data revolution and the onset time picking precision of seismic phase;(2)nonlinear stacking results using zero-phased data show merely effects on effective signals,and the raw records can be recovered by convolution of the stacking results with source wavelet; and(3)time-domain phase weighted stacking or semblance weighted stacking method provide better recovery of final stacking results but probably affect the signals with low signal-noise-ratio,while the results from the phased weighted stacking method based on time-frequency transform method show very large influences on effective signals but give good recovery of signals with low amplitude.