High productivity acquisition technology can improve the efficiency of seismic acquisition.However,the existence of blended noise between adjacent sources severely decreases the signal to noise (S/N) ratio of seismic data and limits the application in the field.To solve the issue,an improved blended noise suppression approach is proposed by combining NMO,median filter with the seislet transform based threshold de-noising.Firstly,median filter is applied to the original blended data with NMO correction.Next,we continue to extract the residual energy to get the de-blended result by the seislet transform based threshold denoising.Then,re-process the residual data by subtracting the original pseudo de-blended data and the pseudo de-blended data of the de-blended result from each iteration as the above processing flow.Finally,the final de-blended data is obtained by adding the remained energy of each iteration.Simulated data tests demonstrate the proposed approach can protect effective signal while suppressing the blended noise.
Howe D, Foster M, Allen T, et al. Independent simultaneous sweeping:a method to increase the productivity of land seismic crews[C]// 78th Annul International Meeting,SEG Expanded Abstracts , 2008: 2826-2830.
[2]
Chen Y K. Deblending using a space-varying median filter[J]. Exploration Geophysics, 2014.
Dong L Q, Wang C H, Li C F, et al. Blending noise removal utilizing an adaptive median filter[J]. Progress in Geophysics, 2018,33(4):1475-1479.
[4]
Huo S, Luo Y, Kelamis P G. Simultaneous sources separation via multidirectional vector-median filtering[J]. Geophysics, 2012,77:V123-V131.
doi: 10.1190/GEO2011-0254.1
[5]
Akerberg P, Hampson G, Rickett J, et al. Simultaneous source separation by sparse radon transform[C]// 78th Annual International Meeting,SEG,Expanded Abstracts , 2008: 2801-2805.
[6]
Chen Y, Fomel S, Hu J. Iterative deblending of simultaneous-source seismic data using seislet-domain shaping regularization[J]. Geophysics, 2014,79:V179-V189.
doi: 10.1190/GEO2013-0449.1
Fan J W, Li Z C, Liu X T, et al. High-resolution Radon transform based on sparse constraint method and its application to multiple attenuation[J]. Geophysical and Geochemical Exploration, 2015,39(6):1245-1250.
doi: 10.11720/wtyht.2015.6.24
Han L G, Tan C Q, Lyu Q T, et al. Separation of multi-source blended seismic acquisition data by iterative denoising[J]. Chinese J. Geophys., 2013,56(7):2402-2412.
Zhu L H. Deblending simultaneous-source seismic data using sparse inversion[J]. Geophysical Prospecting for Petroleum, 2018,57(2):208-212.
[10]
Zu S, Zhou H, Li Q, et al. Shot-domain deblending using least-squares inversion[J]. Geophysics, 2017,82(4):V241-V256.
doi: 10.1190/geo2016-0413.1
[11]
Kontakis A, Verschuur D J. Using a hybrid focal-curvelet transform for deblending[C]// 87th International Annual Meeting,SEG,Expanded Abstracts , 2017: 4903-4908.
[12]
Chen Y. Iterative deblending with multiple constraints based on shaping regularization[J]. IEEE Geoscience and Remote Sensing Letters, 2015,12:2247-2251.
[13]
Berkhout A J. Changing the mindset in seismic data acquisition[J]. The Leading Edge, 2008,27:924-938.
doi: 10.1190/1.2954035
[14]
Berkhout A J, Blacquiere , Verschuur D J. The concept of double blending:Combining incoherent shooting with incoherent sensing[J]. Geophysics, 2009,74(4):A59-A62.
doi: 10.1190/1.3141895
[15]
Fomel S, Liu Y. Seislet transform and seislet frame[J]. Geophysics, 2010,75:V25-V38.
