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Definition of the seismic Field of the Underground Sources in the Ambient seismic Noise in the Tien Shan Region Using a Three-Component Gradient System

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Journal of Earth Science 2020年第5期31卷 988-992页

作者： Anatoly Kuzmich Rybin Elena Anatol'evna Bataleva Kseniia Sergeevna Nepeina Pavel Alexandrovich Kaznacheev Pavel Alexandrovich Matiukov Pavel Nikolaevich Aleksandrov Research Station of the Russian Academy of Sciences Bishkek 720049Kyrgyz Republic The Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences Moscow 123242Russia Geoelectromagnetic Research Center of the Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences Troitsk 108840Russia

This paper considers a new approach to solving the problem of quantitative estimation of the microseism energy for underground sources that is based on the synthesis of noise interferometry and the passive seismic method of the gradient system. The selection of a seismic field of the underground sources is considered in an experiment conducted in the Tien Shan region. The peculiarities of approach include the separation of vertical microseisms in the ambient seismic noise field structure according to the data of the seismic gradient system and a passive noise interferometry diagram, where microseisms from the underground sources are used as the seismic signal source. It is shown that the use of noise interferometry and passive seismic gradient system allows using the synchronous microseism recordings in a small number of points for passive medium sensing, and leads to the restoration of unknown energy parameters of the seismic field of underground sources.

关键词： gradient system passive seismic Tien Shan geodynamics

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A multi-channel approach for automatic microseismic event association using RANSAC-based Arrival Time Event Clustering(RATEC)

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Earthquake Research Advances 2021年第3期1卷 8-20页

作者： Lijun Zhu Lindsay Chuang James H.McClellan Entao Liu Zhigang Peng School of Electrical and Computer Engineering(ECE)at Georgia Institute of Technology USA School of Earth and Atmospheric Sciences(EAS)at Georgia Institute of Technology USA

In the presence of background noise,arrival times picked from a surface microseismic data set usually include a number of false picks that can lead to uncertainty in location *** eliminate false picks and improve the accuracy of location estimates,we develop an association algorithm termed RANSAC-based Arrival Time Event Clustering(RATEC)that clusters picked arrival times into event groups based on random sampling and fitting moveout curves that approximate *** times far from the fitted hyperbolas are classified as false picks and removed from the data set prior to location *** of synthetic data for a 1-D linear array show that RATEC is robust under different noise conditions and generally applicable to various types of subsurface *** generalizing the underlying moveout model,RATEC is extended to the case of a 2-D surface monitoring *** effectiveness of event location for the 2-D case is demonstrated using a data set collected by the 5200-element dense Long Beach *** obtained results suggest that RATEC is effective in removing false picks and hence can be used for phase association before location estimates.

关键词： RANSAC Phase association passive seismic Sensor array Classification Multi-channel

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