Surface-related multiple elimination(SRME) is vital in processing seismic data.At present,the SRME method most commonly used for processing marine data can effectively predict surface-related multiple models,achieving multiple elimination through matching and subtraction.However,this method requires full wave field information,thus placing higher demands on observation systems.The irregular land data acquisition makes it difficult to apply this method for processing land data.Hence,this study presented an improved SRME method,which performs moveout correction on adjacent channels for multiple prediction by constructing the minimum error constraint function,thus enhancing the adaptability to complex observation systems.The improved SRME method was applied to process the actual seismic data of land.Its effectiveness was validated by comparing the gathers,velocity spectra,prestack time migration profiles,and synthetic seismograms before and after SRME.
齐鹏, 杨金龙, 胡守旺. 一种改进的SRME方法在陆地表面多次波压制中的应用[J]. 物探与化探, 2024, 48(5): 1331-1336.
QI Peng, YANG Jin-Long, HU Shou-Wang. Application of an improved SRME method in eliminating land surface multiples. Geophysical and Geochemical Exploration, 2024, 48(5): 1331-1336.
Lin J, Jiang L, Pan L, et al. Analysis of complex near-surface multiple waves and discussion on suppression methods:A case of seismic data in the hinterland of the Junggar Basin[J]. Oil Geophysical Prospecting, 2021, 56(6):1229-1235,1196.
Peng S K, Li Z N, Li Z C. Research progress and prospect of multiple suppression method for seismic data[J]. Progress in Geophysics, 2021, 36(5):2069-2081.
Liu J, Wu S Y, Gao J Y, et al. An effectiveness analysis of multiple depression technique in the Shallow water of the central uplift in South Yellow Sea[J]. Geophysical and Geochemical Exploration, 2016, 40(3):568-577.
Ma J T, Liao Z, Qi J, et al. The comparison of effects of high-resolution Radon transform based on iterative shrinkage thresholding[J]. Geophysical and Geochemical Exploration, 2021, 45(2):413-422.
Zhang H Z, Wang D L, Zhang C N, et al. Multiple suppression in the S-transform domain based on the similarity of seismic signals[J]. Geophysical and Geochemical Exploration, 2023, 47(1):208-216.
[7]
Van Dedem E J, Verschuur D J. 3D surface-related multiple prediction using sparse inversion:Experience with field data[C]// SEG Technical Program Expanded Abstracts 2002,Society of Exploration Geophysicists,2002:2094-2097.
[8]
Verschuur D J. 地震多次波去除技术的过去、现在和未来[M]. 陈浩林,张保庆,刘军,等译. 北京: 石油工业出版社, 2010.
[8]
Verschuur D J. Seismic multiple removal techniques:Past,present and future[M].Chen H L,Zhang B Q,Liu J,et al, translate. Beijing: Petroleum Industry Press, 2010.
He Z L, Li Z C, Li Z N, et al. A review of multiple suppression methods based on feedback iteration model[J]. Geophysical and Geochemical Exploration, 2022, 46(2):275-284.
Xu Q, Xu S, Wang W, et al. Prediction of interbed multiples based on the Green’s function[J]. Geophysical and Geochemical Exploration, 2022, 46(6):1512-1517.
Shi Y, Wang W H, Li Y, et al. 3D surface-related multiple prediction approach investigation based on wave equation[J]. Chinese Journal of Geophysics, 2013, 56(6):2023-2032.
Jing H L, Shi Y, Li Y, et al. Surface-related multiple adaptive subtraction method based on L1/L2 norm[J]. Oil Geophysical Prospecting, 2015, 50(4):619-625,2.
Xie S L, Liu Y K, Wang Y B, et al. Study of diffracted multiple elimination on steep slope zone in deep water[J]. Chinese Journal of Geophysics, 2013, 56(9):3118-3123.
Zhang L Q, Chen B S, Li S K, et al. Multiple suppression in continental shelf and slope areas of Baiyun Depression[J]. Oil Geophysical Prospecting, 2018, 53(2):236-242,219.