Deblending of seismic data based on S-transform adaptive filtering iteration
HUANG Dezhi1, HAN Liguo1, LI Huifeng2, YANG Feilong2, ZHAO Xiaoyu3, Sun Nan4
1. College of Geo-exploration Science and Technology, Jilin University, Changchun, Jilin 130026, China; 2. School of Earth Sciences and Engineering, Xi'an Shiyou University, Xi'an, Shaanxi 710065, China; 3. North China Branch, Sinopec Geophysical Corporation, Zhengzhou, Henan 450000, China; 4. Research Institute of Exploration and Development, Northeast Oil & Gas Branch of Sinopec, Changchun, Jilin 130062, China
Abstract:S-transform is a time-frequency analysis method developed from wavelet transform and short-time Fourier transform.After NMO correction,the amplitude and phase of the signal in every seismic trace of a CMP gather are consistent at the same time,and the blended noises in blended seismic data are distributed randomly.Therefore,the distribution of noises and signals in the S-transform spectra of each trace can be effectively determined by stacking CMP traces after NMO correction,and using the S-transform spectra of the stacked trace as references,the designed filter of S-transform spectra can separate the blended noises.In this study,we first designed a filter based on the deviation between the S-transform spectra of seismic data in CMP gathers and the S-transform spectra of stacked traces after NMO correction,and then extracted signals and deblended noises after multi-level adaptive filtering and multiple iterations.Applications to theoretical data and simulated actual seismic data have proved the method can effectively extract signals and separate deblended noises and random noises.
黄德智, 韩立国, 李辉峰, 杨飞龙, 赵晓宇, 孙楠. 基于S变换自适应滤波迭代的多源地震数据分离[J]. 石油地球物理勘探, 2020, 55(6): 1253-1262.
HUANG Dezhi, HAN Liguo, LI Huifeng, YANG Feilong, ZHAO Xiaoyu, Sun Nan. Deblending of seismic data based on S-transform adaptive filtering iteration. Oil Geophysical Prospecting, 2020, 55(6): 1253-1262.
Silverman D.Method of three dimensional seismic prospecting[P].U S Patent 4159463,1979-6-26.
[2]
王坤喜,毛伟建,张庆臣,等.同时震源数据的直接反演分离[J].石油地球物理勘探,2020,55(1):17-28.WANG Kunxi,MAO Weijian,ZHANG Qingchen,et al.A direct inversion method for deblending simultaneous-source data[J].Oil Geophysical Prospecting,2020,55(1):17-28.
[3]
宋家文,李培明,王文闯,等.基于稀疏反演的高效混采数据分离方法[J].石油地球物理勘探,2019,54(2):268-273.SONG Jiawen,LI Peiming,WANG Wenchuang,et al.High produceivity blended acquired data separation by sparse inversion[J].Oil Geophysical Prospecting,2019,54(2):268-273.
[4]
黄少华,任志明,李振春,等.纵横波分离的多震源弹性波全波形反演[J].石油地球物理勘探,2019,54(5):1084-1093.HUANG Shaohua,REN Zhiming,LI Zhenchun,et al.Multi-source elastic full waveform inversion based on P-wave and S-wave separation[J].Oil Geophysical Prospecting,2019,54(5):1084-1093.
[5]
朱丹,刘大佑,李宏伟.利用数据低秩性和稀疏性的位场分离[J].石油地球物理勘探,2019,54(4):925-936.ZHU Dan,LIU Dayou,LI Hongwei.Potential field separation based on the low rank and sparse characteristics[J].Oil Geophysical Prospecting,2019,54(4):925-936.
[6]
Huo S,Luo Y,Kelamis P.Simultaneous sources separation via multi-directional vector-median filter[J]. Geophysics,2012,77(4):123-131.
[7]
Mahdad A,Blacquière G.Iterative method for the seperation of blended encoded shot records[C].Extended Abstracts of 72nd EAGE Conference and Exhibition,2010,B002.
[8]
Doulgeris P,Mahdad A,Blacquière G.Separation of blended data by iterative estimation and subtraction of blending interference noise[J].Geophysics,2011,76(3):Q9-Q17.
[9]
韩立国,谭尘青,吕庆田,等.基于迭代去噪的多源地震混合采集数据分离[J].地球物理学报,2013,56(7):2402-2412.HAN Liguo,TAN Chenqing,LYU Qingtian,et al.Separation of multi source blended seismic acquisition data by iterative denoising[J].Chinese Journal of Geo-physics,2013,56(7):2402-2412.
[10]
Gan S,Wang S,Chen Y,et al.Deblending using a structural-oriented median filter[C].SEG Technical Program Expanded Abstracts,2015,34:59-64.
[11]
Stockwell R G,Mansinha L,Lowe R P.Localization of the complex spectrum:the S transform[J].IEEE Transactions on Signal Processing,1996,44(4):998-1001.
[12]
Pinnegar C R,Eaton D W.Application of the S transform to prestack noise attenuation filtering[J].Journal of Geophysical Research,2003,108(B9):2422-2431.
[13]
王云专,兰金涛,龙玉沙.基于S变换的随机噪声压制方法[J].地球物理学进展,2010,25(2):562-567.WANG Yunzhuan,LAN Jintao,LONG Yusha.The method for attenuating random noise based on S transform[J].Progress in Geophysics,2010,25(2):562-567.
[14]
刘晗,张建忠,黄忠来.基于同步挤压S变换的地震信号时频分析[J].石油地球物理勘探,2017,52(4):689-695.LIU Han,ZHANG Jianzhong,HUANG Zhonglai.Time-frequency analysis of seismic data using synchro-squeezing S transform[J].Oil Geophysical Prospecting,2017,52(4):689-695.
[15]
李雪英,侯相辉.基于广义S变换的叠前高频噪声压制[J].石油地球物理勘探,2011,46(4):545-549.LI Xueying,HOU Xianghui.Prestack high frequency noise suppression based on generalized S transform[J].Oil Geophysical Prospecting,2011,46(4):545-549.
[16]
曹鹏涛,张敏,李振春.基于广义S变换及高斯平滑的自适应滤波去噪方法[J].石油地球物理勘探,2018,53(6):1128-1136,1187.CAO Pengtao,ZHANG Min,LI Zhenchun.An adaptive filtering denoising method based on generalized S-transform and Gaussian smoothing[J].Oil Geophysical Prospecting,2018,53(6):1128-1136,1187.
[17]
黄捍东,冯娜.广义S变换地震高分辨率处理方法研究[J].石油地球物理勘探,2014,49(1):82-88.HUANG Handong,FENG Na.High resolution seismic processing method based on generalized S transform[J].Oil Geophysical Prospecting,2014,49(1):82-88.
[18]
郑成龙,王宝善.S变换在地震资料处理中的应用及展望[J].地球物理学进展,2015,30(4):1580-1591.ZHENG Chenglong,WANG Baoshan.Application of S transform in seismic data processing[J].Progress in Geophysics,2015,30(4):1580-1591.
[19]
赵淑红,朱光明.S变换时频滤波去噪方法[J].石油地球物理勘探,2007,42(4):402-406.ZHAO Shuhong,ZHU Guangming.S transform time frequency filter denoising method[J].Oil Geophysical Prospecting,2007,42(4):402-406.
[20]
张书豪.一种改进权重的非局部均值滤波算法[J].信息通信,2017,173(5):12-14.ZHANG Shuhao.An improved weighted nonlocal mean filtering algorithm[J].Information & Communications,2017,173(5):12-14.