1. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China; 2. Center for Oil & Gas Exploration Management, Shengli Oilfield Branch Co., SINOPEC, Dongying, Shandong 257000, China
Abstract:The signal-to-noise ratio (SNR) of ground microseismic data is very low,which seriously affects the accuracy of first-break picking and the reliability of inversion results.This paper uses a noise estimation method based on a weak texture block to obtain a noise variance from noisy microseismic data,and then uses the data driven tight frame method to effectively suppress random noise and improve the SNR of the data.Model and real data tests show that the proposed approach can remove background patches caused by conventional me-thods,and the SNR after denoising is greatly improved.Therefore,compared with conventional methods,the proposed approach has obvious advantages.
唐杰,温雷,王浩,等.正交各向异性介质中的剪张源震源机制与矩张量特征研究[J],石油地球物理勘探,2018,53(6):1247-1255.TANG Jie,WEN Lei,WANG Hao,et al.Focal mechanisms and moment tensor in orthorhombic anisotropic media[J].Oil Geophysical Prospecting,2018,53(6):1247-1255.
[2]
唐杰,王浩,温雷,等.剪张型微地震震源机制与振幅分布特征[J].石油地球物理勘探,2018,53(3):502-510.TANG Jie,WANG Hao,WEN Lei,et al.Focal me-chanism of shear-tensile microseismic and amplitude distribution characteristics[J].Oil Geophysical Prospecting,2018,53(3):502-510.
[3]
谭玉阳,于静,冯刚.微地震事件初至拾取SLPEA算法[J].地球物理学报,2016,59(1):185-196.TAN Yuyang,YU Jing,FENG Gang.Arrival picking of microseismic events using the SLPEA algorithm[J].Chinese Journal of Geophysics,2016,59(1):185-196.
朱卫星,宋维琪,修金磊,等.微地震信号的偏振-位置对比法震相分离技术[J].石油地球物理勘探,2009,44(4):425-429.ZHU Weixing,SONG Weiqi,XIU Jinlei,et al.Seismic phase separation technique of micro-seismic signal by polarization-position correlation[J].Oil Geophysical Prospecting,2009,44(4):425-429.
[6]
孙成禹,邵婕,蓝阳.基于独立分量分析基的地震随机噪声压制[J].石油物探,2016,55(2):196-204.SUN Chengyu,SHAO Jie,LAN Yang.Seismic random noise suppression based on independent component analysis basis functions[J].Geophysical Prospecting for Petroleum,2016,55(2):196-204.
[7]
宋维琪,李艳清,刘磊.独立分量分析与压缩感知微地震弱信号提取方法[J].石油地球物理勘探,2017,52(5):984-989.SONG Weiqi,LI Yanqing,LIU Lei.Microseismic weak signal extraction based on the independent component analysis and compressive sensing[J].Oil Geophysical Prospecting,2017,52(5):984-989.
[8]
曹俊海,顾汉明,尚新民.基于局部相关谱约束的多道匹配追踪算法识别微地震信号[J].石油地球物理勘探,2017,52(4):704-714.CAO Junhai,GU Hanming,SHANG Xinmin.Microseismic signal identification with multichannel ma-tching pursuit based on local coherence spectrum constraint[J].Oil Geophysical Prospecting,2017,52(4):704-714.
[9]
Mousavi M,Langston C A,Horton S P.Automatic microseismic denoising and onset detection using the synchrosqueezed continuous wavelet transform[J].Geophysics,2016,81(4):V341-V355.
[10]
李会俭,王润秋,曹思远,等.利用多尺度形态学识别微地震监测中的弱信号[J].石油地球物理勘探,2015,50(6):1105-1111.LI Huijian,WANG Runqiu,CAO Siyuan,et al.Weak signal identification in microseismic monitoring with multi-scale morphology[J].Oil Geophysical Prospecting,2015,50(6):1105-1111.
[11]
邵婕,孙成禹,唐杰,等.基于字典训练的小波域稀疏表示微地震去噪方法[J].石油地球物理勘探,2016,51(2):254-260.SHAO Jie,SUN Chengyu,TANG Jie,et al.Micro-seismic data denoising based on sparse representations over learned dictionary in the wavelet domain[J].Oil Geophysical Prospecting,2016,51(2):254-260.
[12]
姜宇东,宋维琪,郭晓中,等.地面微地震监测资料静校正方法研究[J].石油物探,2013,52(2):136-154.JIANG Yudong,SONG Weiqi,GUO Xiaozhong,et al.Static correction method for surface microseismic monitoring data[J].Geophysical Prospecting for Petro-leum,2013,52(2):136-140.
[13]
Zhang C,van der Baan M.Multicomponent microseismic data denoising by 3D shearlet transform[J].Geophysics,2018,83(3):A45-A51.
[14]
李稳,刘伊克,刘保金.基于稀疏分布特征的井下微地震信号识别与提取方法[J].地球物理学报,2016,59(10):3869-3882.LI Wen,LIU Yike,LIU Baojin.Downhole microseismic signal recognition and extraction based on sparse distribution features[J].Chinese Journal of Geophysics,2016,59(10):3869-3882.
[15]
Tang G,Ma J W,Yang H Z.Seismic data denoising based on learning-type overcomplete dictionaries[J].Applied Geophysics,2012,9(1):27-32.
Cai J F,Ji H,Liu C,et al.Blind motion deblurring from a single image using sparse approximation[C].IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2009,104-111.
[26]
Cai J F,Dong B,Osher S,et al.Image restoration:Total variation,wavelet frames,and beyond[J].Journal of the American Mathematical Society,2012,25(4):1033-1089.
[27]
Chui C K,He W,Stöckler J.Compactly supported tight and sibling frames with maximum vanishing moments[J].Applied & Computational Harmonic Analysis,2002,13(3):224-262.
[28]
Ma J.Three-dimensional irregular seismic data recon-struction via low-rank matrix completion[J].Geophysics,2013,78(5):V181-V192.