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Estimation of the Relative Arrival Time of Microseismic Events Based on Phase-Only Correlation

文献类型：期刊论文

作者Wang, Peng1; Chang, Xu2; Zhou, Xiyan2
刊名ENERGIES
出版日期2018-10-01
卷号11期号:10页码:16
关键词microseismic event relative arrival time phase-only correlation abnormal situations
ISSN号1996-1073
DOI10.3390/en11102527
英文摘要The arrival time of a microseismic event is an important piece of information for microseismic monitoring. The accuracy and efficiency of arrival time identification is affected by many factors, such as the low signal-to-noise ratio (SNR) of the records, the vast amount of real-time monitoring records, and the abnormal situations of monitoring equipment. In order to eliminate the interference of these factors, we propose a method based on phase-only correlation (POC) to estimate the relative arrival times of microseismic events. The proposed method includes three main steps: (1) The SNR of the records is improved via time-frequency transform, which is used to obtain the time-frequency representation of each trace of a microseismic event. (2) The POC functions of all pairs of time-frequency representations are calculated. The peak value of the POC function indicates the similarity of the traces, and the peak position in the time lag axis indicates the relative arrival times between the traces. (3) Using the peak values as weighting coefficients of the linear equations, consistency processing is used to exclude any abnormal situations and obtain the optimal relative arrival times. We used synthetic data and field data to validate the proposed method. Comparing with Akaike information criterion (AIC) and cross-correlation, the proposed method is more robust at estimating the relative arrival time and excluding the influence of abnormal situations.
WOS关键词P-WAVE ; CROSS-CORRELATION ; PICKING ; DECOMPOSITION ; REPRESENTATIONS ; ALGORITHMS ; TRANSFORM ; SIGNAL
资助项目National Natural Science Foundation of China[41604099] ; National Natural Science Foundation of China[41390455] ; Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University)[K2016-01]
WOS研究方向Energy & Fuels
语种英语
WOS记录号WOS:000449293500035
出版者MDPI
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University) ; Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University)
源URL[http://ir.iggcas.ac.cn/handle/132A11/89445]  
专题地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室
通讯作者Chang, Xu
作者单位1.Yangtze Univ, Key Lab Explorat Technol Oil & Gas Resources, Minist Educ, Wuhan 430100, Hubei, Peoples R China
2.Chinese Acad Sci, Key Lab Shale Gas & Geoengn, Inst Geol & Geophys, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Peng,Chang, Xu,Zhou, Xiyan. Estimation of the Relative Arrival Time of Microseismic Events Based on Phase-Only Correlation[J]. ENERGIES,2018,11(10):16.
APA Wang, Peng,Chang, Xu,&Zhou, Xiyan.(2018).Estimation of the Relative Arrival Time of Microseismic Events Based on Phase-Only Correlation.ENERGIES,11(10),16.
MLA Wang, Peng,et al."Estimation of the Relative Arrival Time of Microseismic Events Based on Phase-Only Correlation".ENERGIES 11.10(2018):16.

入库方式： OAI收割

来源：地质与地球物理研究所

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