Prediction of interbed multiples based on the Green's function

XU Qiang; XU Shuang; WANG Wei; WANG Hai-Kun

doi:10.11720/wtyht.2022.1618

2022 Vol. 46, No. 6

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Article navigation > Geophysical and Geochemical Exploration > 2022 > 46(6): 1512-1517

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XU Qiang, XU Shuang, WANG Wei, WANG Hai-Kun. 2022. Prediction of interbed multiples based on the Green's function. Geophysical and Geochemical Exploration, 46(6): 1512-1517. doi: 10.11720/wtyht.2022.1618

Citation:

XU Qiang, XU Shuang, WANG Wei, WANG Hai-Kun. 2022. Prediction of interbed multiples based on the Green's function. Geophysical and Geochemical Exploration, 46(6): 1512-1517. doi: 10.11720/wtyht.2022.1618

Prediction of interbed multiples based on the Green's function

1. Geophysical R&D institute,COSL,Tianjin 300451,China；
2. BGP Geological Research Center,CNPC,Zhuozhou 072750,China

Received Date: 25 December 2021

Revised Date: 20 December 2022

Publish Date: 03 January 2023

Abstract

Abstract

The surface-related multiple elimination (SRME) method is usually used to predict the multiples of marine seismic data.However,it cannot be used to predict the interbed multiples formed between strong reflection interfaces in seismic data.This study,based on the Huygens principle and the received known seismic wave fields,inferred the interbed multiples propagating between the strong reflection interfaces using Green's function.First,the Green's function propagating between the strong reflection interfaces at each receiver was calculated;then the obtained Green's function was convoluted with the received wave field(the original seismic data received by all receivers of the current shot gather);finally,the sum of the results was taken as the model of the interbed multiples of the current receiver.Subsequently,subtracting the multiple model from the original data through adaptive subtraction achieved the prediction and attenuation of interbed multiples.The tests based on simulation data and actual data indicate that the method proposed in this study can effectively attenuate interbed multiples.
- interbed multiple /
- SRME /
- Green's function

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References

[1]	Berkhout A J, Verschuur D J. Focal transformation,an imaging concept for signal restoration and noise removal[J]. Geophysics, 2006, 71(6):A55-A59. Google Scholar
[2]	Berkhout A J. Seismic processing in the inverse data space[J]. Geophysics, 2006, 71(4):A29-A33. Google Scholar
[3]	Berkhout A J, Verschuur D J. Estimation of multiple scattering by iterative inversion;Part 1,Theoretical considerations[J]. Geophysics, 1997, 62(5):1586-1595. Google Scholar
[4]	徐强, 王征, 史增园, 等. 浅水多次波衰减[J]. 石油地球物理探, 2015, 50(2):238-242. Google Scholar
[5]	Xu Q, Wang Z, Shi Z Y, et al. Shallow water multiple attenuation[J]. Oil Geophysical Prospecting, 2015, 50(2):238-242. Google Scholar
[6]	Berkhout A J, Verschuur D J. Estimation of multiple scattering by iterative inversion,part I:theoretical considerations[J]. Geophysics, 1997, 62(5): 1586-1595. Google Scholar
[7]	Hung B, Yang K L, Zhou J, et al. Surface multiple attenuation in seabeach-shallow water,case study on data from the Bohai Sea[C]// SEG Technical Program Expanded Abstracts, 1949:4453. Google Scholar
[8]	Berkhout A J, Verschuur D J. Removal of internal multiples with the common-focus-point (CFP) approach:Part 1—Explanation of the theory[J]. Geophysics, 2005, 70(3):V45-V60. Google Scholar
[9]	金明霞, 易淑昌, 王征. 多次波正演与SRME技术影响因素分析及应用[J]. 物探与化探, 2014, 38(3):566-570. Google Scholar
[10]	Jin M X, Yi S C, Wang Z. The analysis and application of multiple wave forward modeling and the influencing factors of SRME technology[J]. Geophysical and Geochemical Exploration, 2014, 38(3):566-570. Google Scholar
[11]	徐强. 基于格林函数的多次波预测方法[J]. 中国造船, 2019, 60(4):155-160. Google Scholar
[12]	Xu Q. Multiple prediction method based on Green Function[J]. Shipbuilding of China, 2019, 60(4):155-160. Google Scholar
[13]	Berkhout A J, Verschuur D J. Estimation of multiple scattering by iterative inversion,Part I:Theoretical considerations[J]. Geophysics, 1997, 62(5):1586-1595. Google Scholar
[14]	Song J W, Verschuur E, Chen X H. Comparing three feedback internal multiple elimination methods[J]. Journal of Applied Geophysics, 2013, 95:66-75. Google Scholar
[15]	Borselen R V. Data-driven interbed multiple removal:Strategies and examples[C]// SEG Technical Program Expanded Abstracts, 1999:2106. Google Scholar
[16]	Ikelle L T, Erez I, Yang X. Scattering diagrams in seismic imaging:More insights into the construction of virtual events and internal multiples[J]. Journal of Applied Geophysics, 2009, 67(2):150-170. Google Scholar
[17]	Ypma F, Verschuur D J. Estimating primaries by sparse inversion,a generalized approach[J]. Geophysical Prospecting, 2013, 61(s1):94-108. Google Scholar