北京大学学报（自然科学版）2018，Vol.54Issue(2)：361-372,12.DOI:10.13209/j.0479-8023.2017.079
基于波形互相关的微地震事件自动识别及初至拾取
Automatic Microseismic Event Detection and Arrival Picking Based on Waveform Cross-Correlation
摘要
Abstract
Generally, a cluster of seismic events which share similar source locations and focal mechanisms will show similar waveforms on the record. Based on this assumption, a method have been developed for microseismic event detection and arrival picking based on waveform cross-correlation. This method achieves moveout correction for the seismic records based on cross-correlation functions, then calculates a multi-channel semblance coefficient to identify the microseismic events. Meanwhile, the seismic records after moveout correction are superposed. The STA/LTA method is adopt to pick the arrivals for the stacked traces, the arrival times of the microseismic events are then automatically obtained. The performance of the method is evaluated using both synthetic and real datasets. Analysis of the results demonstrates that the proposed method can not only detect the microseismic events, but also obtain relatively accurate arrival picks at the same time.关键词
微地震/事件识别/初至拾取/互相关函数/时差校正Key words
microseismic/event detection/arrival picking/cross-correlation function/moveout correction分类
天文与地球科学引用本文复制引用
魏梦祎,谭玉阳,毛中华,冯刚,胡天跃,何川..基于波形互相关的微地震事件自动识别及初至拾取[J].北京大学学报（自然科学版）,2018,54(2):361-372,12.基金项目
中国石油化工集团公司重点项目(JP16031)资助 （JP16031）
