物探与化探2017，Vol.41Issue(3)：521-526,6.DOI:10.11720/wtyht.2017.3.18
地面阵列式微地震数据盲源分离去噪方法
The blind separation denoising method for surface array micro-seismic data
摘要
Abstract
Due to the ground noise interference,the signal-to-noise ratio(S/N) of original micro seismic monitoring data is relatively low,and the data quality determines the positioning accuracy of micro seismic events.Therefore,it is very important to improve the S/N of monitoring data in the processing of micro-seismic event.Based on the advantages of more monitoring sites,short intervals and wide distribution in ground array,the method of blind source separation based on cross-correlation method can denoise random noise.Blind source separation method is based on cross-correlation method,which uses negentropy as the objective function,with particle swarm optimization method for high efficiency solving.Through the cross correlation coefficient to solve the uncertainty problem of blind source separation,the method can realize effective separation of the ground array micro seismic events components and noise interference components.Through the forward simulation signal and the actual ground array micro-seismic data processing,the method was effectively applied to enhancing S/N of the ground array micro seismic data,which confirms that the method is feasible and effective.关键词
水力压裂/微地震事件/信噪比/独立分量分析/互相关系数Key words
hydraulic fracture/micro-seismic event/signal to noise ratio/independent component analysis/cross correlation factor分类
天文与地球科学引用本文复制引用
刁瑞,吴国忱,尚新民,芮拥军,崔庆辉..地面阵列式微地震数据盲源分离去噪方法[J].物探与化探,2017,41(3):521-526,6.基金项目
国家重大专项"致密油藏储层地震预测方法及地应力研究"(2017ZX05072001)、"地震与井筒精细勘探关键技术"(2016ZX05006002) （2017ZX05072001）
国家高技术研究发展计划("863"计划)项目"陆上非一致性时延地震、微地震油藏监测方法研究"(2011AA060303) （"863"计划）
