Abstract：Since the traditional linear deconvolution cannot greatly improve the resolution of seismic data,it is gradually replaced by the nonlinear sparse deconvolution. However,most nonlinear deconvolution methods are based on single-trace inversion and do not consider the spatial structure relationship between traces. Thus,the obtained high resolution results are prone to lateral inconsistency or discontinuity. Moreover,when the seismic data quality is poor,the results of single-trace inversion are quite unstable. Therefore,this paper proposes a data-driven multichannel deconvolution method based on inversion strategies. First, it starts from the seismic data and uses the local dip angle to obtain structural information. Then,a structure-oriented filtering operator is constructed,which is introduced into the sparse multichannel deconvolution as a regularization operator. Finally,the sparse reflection coefficient series is obtained by splitting the Bregman optimization algorithm. This method improves not only the resolution of seismic data but also the spatial continuity of traditional nonlinear deconvolution results. Model test and actual seismic data processing results show that the method is effective and practical.
王万里, 李海山, 魏新建, 王伟, 李琳. 基于构造导向滤波的多道反褶积方法及应用[J]. 石油地球物理勘探, 2023, 58(2): 340-344,380.
WANG Wanli, LI Haishan, WEI Xinjian, WANG Wei, LI Lin. Multichannel deconvolution method based on structure-oriented filtering and its application. Oil Geophysical Prospecting, 2023, 58(2): 340-344,380.
WIGGINS R A.Minimum entropy deconvolution[J].Geoexploration,1978,16(1-2):21-35.
[2]
SACCHI M D.Statistical and Transform Methods for Seismic Signal Processing[D].University of Alberta,Edmonton,Canada,1999.
[3]
ULRYCH T J,SACCHI M D,WOODBURY A.A Bayes tour of inversion:A tutorial[J].Geophysics,2001,66(1):55-69.
[4]
VELIS D R.Stochastic spare-spike deconvolution[J]. Geophysics,2008,73(1):R1-R9.
[5]
云美厚, 赵秋芳, 李晓斌.地震分辨率思考与高分辨率勘探对策[J].石油地球物理勘探, 2022, 57(5):1250-1262.YUN Meihou,ZHAO Qiufang,LI Xiaobin.Thought about seismic resolution and counter measures of high-resolution seismic exploration[J].Oil Geophysical Prospecting,2022,57(5):1250-1262.
[6]
潘树林,闫柯,李凌云,等.自适应步长FISTA算法稀疏脉冲反褶积[J].石油地球物理勘探,2019,54(4):737-743.PAN Shulin,YAN Ke,LI Lingyun,et al.Sparse-spike deconvolution based on adaptive step FISTA algorithm[J].Oil Geophysical Prospecting,2019,54(4):737-743.
[7]
YUAN S,WANG S,LI G.Random noise reduction using Bayesian inversion[J].Journal of Geophysics and Engineering,2012,9(1):60-68.
[8]
ZHANG R,SEN M K,SRINIVASAN S.Multi-trace basis pursuit inversion with spatial regularization[J].Journal of Geophysics and Engineering,2013,10(3):035012.
[9]
CLAPP R G,BIONDI B,CLAERBOUT J F.Incorporating geologic information into reflection tomography[J].Geophysics,2004,69(2):533-546.
[10]
KAZEMI N,SACCHI M D.Sparse multichannel blind deconvolution[J].Geophysics,2014,79(5):V143-V152.
YUAN S,WANG S,TIAN N,et al.Stable inversion-based multitrace deabsorption method for spatial continuity preservation and weak signal compensation[J].Geophysics,2016,81(3):V199-V212.
[14]
NOSE-FILHO K,TAKAHATA A K,LOPES R,et al.A fast algorithm for sparse multichannel blind deconvolution[J].Geophysics,2016,81(1):V7-V16.
[15]
LI G,QIN D,PENG G,et al.Experimental analysis and application of sparsity constrained deconvolution[J].Applied Geophysics,2013,10(2):V191-V200.
[16]
FOMEl S,GUITTON A.Regularizing seismic inverse problems by model reparameterization using plane-wave construction[J].Geophysics,2006,71(5):A43-A47.
[17]
周东红,谭辉煌,王伟.相位校正S域反褶积方法及应用[J].石油地球物理勘探,2020,55(6):1245-1252.ZHOU Donghong,TAN Huihuang,WANG Wei.Deconvolution in S domain with phase correction and its application[J].Oil Geophysical Prospecting,2020,55(6):1245-1252.
[18]
张全,张杰明,雷芩,等.基于CUDA的地震信号频率补偿并行算法[J].石油地球物理勘探,2022,55(5):1241-1249.ZHANG Quan,ZHANG Jieming,LEI Qin,et al.Para-llel algorithm of seismic signal frequency compensation based on CUDA[J].Oil Geophysical Prospecting, 2022,55 (5):1241-1249.
