基于反馈迭代模型的多次波压制方法综述

doi:10.11720/wtyht.2022.2446

Abstract
Figure/Table
References
Related Citation (7)

Download: PDF (2917 KB) HTML (0 KB)
Export: BibTeX | EndNote (RIS)

Abstract

In oil and gas exploration,multiples are usually regarded as the coherent noise that affects the processing and interpretation accuracy of seismic data.Therefore,the study of multiple suppression methods has always been an important research direction in the field of geophysical prospecting.Given that the surface-related multiples are the most developed multiples in seismic exploration,especially in marine seismic exploration,it is necessary to conduct a deep study on the suppression methods of surface-related multiples.At present,the surface-related multiple suppression method that enjoys high accuracy and is widely applied at home and abroad is the feedback iteration method based on the wave equation.This method takes the original seismic data as the predictive factor and requires no other prior conditions and allows for high-precision suppression of surface-related multiples driven by data.A series of more advanced methods have been developed based on the theory of this method in recent years.This paper briefly introduces the theoretical basis of the feedback iteration method(i.e.,the feedback iteration model) firstly and then describes the surface-related multiple suppression mechanisms of the four methods developed based on the feedback iterative model, namely SRME,the inverse data domain method,EPSI,and Cl-SRME.Finally,it compares the advantages and disadvantages of these four methods and proposes the research prospects of multiple suppression methods based on the feedback iteration model.

Key words： surface-related multiple SRME inverse data domain EPSI CL-SRME

Received: 12 October 2020 Published: 28 June 2022

ZTFLH:

P631

Corresponding Authors: LI Zhi-Na

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zi-Lin HE
	Zhen-Chun LI
	Zhi-Na LI
	Yi-Peng XU

Cite this article:

Zi-Lin HE,Zhen-Chun LI,Zhi-Na LI, et al. A review of multiple suppression methods based on feedback iteration model[J]. Geophysical and Geochemical Exploration, 2022, 46(2): 275-284.

URL:

https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2022.2446 OR https://www.wutanyuhuatan.com/EN/Y2022/V46/I2/275

Extraction process of single frequency component matrix

Feedback model
a—forward model of seismic data without surface-related multiple;b—forward model of seismic data with surface-related multiple

Suppression results of surface-related multiples of a shot record by SRME method
a—original shot record;b—real primaries;c—result of surface-related multiple suppression

Suppression result of surface-related multiple of a shot record in inverse data domain
a—original shot record;b—seismic shot record in inverse data domain;c—result of multiple suppression in inverse data domain

Suppression results of surface-related multiples of a shot record by EPSI method
a—original shot record;b—result of surface-related multiple suppression by SRME;c—result of surface-related multiple suppression by EPSI

Suppression results of surface-related multiples of a shot record by CL-SRME method
a—original shot record;b—result of surface-related multiple suppression by SRME;c—result of surface-related multiple suppression by EPSI;d—result of surface-related multiple suppression by CL-SRME

The advantages and disadvantages of multiple suppression methods based on feedback model

[1]	石颖, 邢小林. 表面多次波压制的研究进展:回顾与展望[J]. 地球物理学进展, 2011, 26(6):2046-2054.
[1]	Shi Y, Xing X L. Investigation progress on surface-related multiple suppression:Review and outlook[J]. Progress in Geophysics, 2011, 26(6):2046-2054.
[2]	张文武. 基于稀疏反演的表面多次波压制方法研究[D]. 大庆: 东北石油大学, 2018.
[2]	Zhang W W. Research on surface-related multiple attenuation by sparse inversion[D]. Daqing: Northeast Petroleum University, 2018.
[3]	Riley D C, Claerbout J F. 2-D multiple reflections[J]. Digital Library Home, 1976, 41(4):592-620.
[4]	Kennett B L N. The suppression of surface multiples on seismic records[J]. Geophysical Prospecting, 1979, 27(3):584-600.
[5]	Berkhout A J. Seismic migration:Imaging of acoustic energy by wave field extrapolation[M]. Amsterdam:Elsevier Scientific Pub. Co., 1982.
[6]	Verschuur D J, Berkhout A J, Wapenaar C P A. Adaptive surface-related multiple elimination[J]. Geophysics, 1992, 57(9):1166-1177.
[7]	Berkhout A J, Verschuur D J. Estimation of multiple scattering by iterative inversion,Part 1:Theoretical considerations[J]. Geophysics, 1997, 62(5):1586-1595.
[8]	Verschuur D J, Berkhout A J. Estimation of multiple scattering by iterative inversion,Part II:Practical aspects and examples[J]. Geophysics, 1997, 62(5):1596-1611.
[9]	Verschuur D J. Surface-related multiple elimination,an inversion approach[D]. Delft: Delft University of Technology, 1991.
[10]	Monk D J. Wave-equation multiple suppression using constrained gross-equalization[J]. Geophysical Prospecting, 1993, 41(6):725-736.
[11]	Spitz, Simon. Pattern recognition,spatial predictability, and subtraction of multiple events[J]. Leading Edge, 1999, 18(1):55-58.
[12]	Guitton A. Multiple attenuation with multidimensional prediction-error filter[J]. Geophysics, 2003:57-74.
[13]	Wang Y. Multiple subtraction using an expanded multichannel matching filter[J]. Geophysics, 2003, 68(1):346-354.
[14]	陆文凯, 骆毅, 赵波, 等. 基于独立分量分析的多次波自适应相减技术[J]. 地球物理学报, 2004, 47(5):886-891.
[14]	Lu W K, Luo Y, Zhao B, et al. Adaptive multiple wave subtraction using independent component analysis[J]. Chinese Journal of Geophysics, 2004, 47(5):886-891.
[15]	Van Dedem E J. 3D surface-related multiple prediction[D]. Delft: Delft University of Technology, 2002.
[16]	Van Dedem E J, Verschuur D J. Analysis of surface-related multiples in 3D media[C]// SEG Expanded Abstracts, 1997, 16(1):1180-1183.
[17]	Van Dedem E J, Verschuur D J. 3D surface-related multiple prediction,an inversion approach[C]// SEG Expanded Abstracts, 2000:1965-1968.
[18]	Van Dedem E J, Verschuur D J. 3D surface-related multiple prediction:A sparse inversion approach[J]. Geophysics, 2005, 70(3):V31-V43.
[19]	Anatoly B, Mohamed T H. 3D surface-related multiple elimination:Data reconstruction and application to field data[J]. Geophysics, 2006, 71(3):E25-E33.
[20]	石颖, 王维红, 李莹, 等. 基于波动方程三维表面多次波预测方法研究[J]. 地球物理学报, 2013, 56(6):2023-2032.
[20]	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.
[21]	井洪亮, 石颖, 李莹, 等. 基于L1/L2范数的表面多次波自适应相减方法[J]. 石油地球物理勘探, 2015, 50(4):619-625.
[21]	Jing H L, Shi Y, Li Y, et al. Surface-related multiple adaptive subtraction method based on L1/L2 norm[J]. OGP, 2015, 50(4):619-625.
[22]	Lopez G A, Verschuur D J. Closed-Loop SRME — A New Direction in Surface Multiple Removal Algorithms[C]// EAGE,Extended Abstracts, 2014.
[23]	Berkhout A J. Seismic processing in the inverse data space[J]. Geophysics, 2006, 71(4):A29-A33.
[24]	Berkhout A J, Verschuur D J. Multiple removal and wavelet deconvolution in the inverse data space[C]// SEG Expanded Abstracts, 2006:2684-2688.
[25]	Kelamis P G, Zhu W, Rufaii K O, et al. Land multiple attenuation — The future is bright[C]// SEG Expanded Abstracts, 2006, 25(1):2699-2703.
[26]	Luo Y, Zhu W, Kelamis P G. Internal multiple reduction in inverse-data domain[C]// SEG Expanded Abstracts, 2007:1711-1723.
[27]	Berkhout A J, Verschuur D J. Time lapse processing in the inverse data space[C]// SEG Expanded Abstracts, 2007:2919-2923.
[28]	Berkhout A J, Verschuur D J. Seismic processing in the inverse data space,removal of surface —Related and internal multiples[C]// EAGE Extended Abstracts, 2007.
[29]	马继涛, 陈小宏, 黄小宁. 反数据域压制多次波方法研究[J]. 石油地球物理勘探, 2009, 44(5):537-542.
[29]	Ma J T, Chen X H, Huang X N. Studying on multiple elimination in inverse data domain[J]. OGP, 2009, 44(5):537-542.
[30]	马继涛, Sen M K, 陈小宏. 平面波域反数据处理压制多次波方法研究[J]. 地球物理学报, 2009, 52(3):808-816.
[30]	Ma J T, Sen M K, Chen X H. Multiple attenuation using inverse data processing in the plane-wave domain[J]. Chinese Journal of Geophysics, 2009, 52(3):808-816.
[31]	Ma J T, Sen M K, Chen X H. Free-surface multiple attenuation using inverse data processing in the coupled plane-wave domain[J]. Geophysics, 2009, 74(4):V75-V81.
[32]	Van Groenestijn G J, Verschuur D J. Estimating primaries by sparse inversion and application to near-offset data reconstruction[J]. Geophysics, 2009, 74(3):A23-A28.
[33]	Van Groenestijn G J, Verschuur D J. Estimation of primaries by sparse inversion from passive seismic data[J]. Geophysics, 2010, 75(4):SA61-SA69.
[34]	Van Groenestijn G J A, Ross W. Primary estimation on OBC data by sparse inversion[C]// SEG Expanded Abstracts, 2011:311-353.
[35]	Van Groenestijn G J A, Verschuur D J. Estimation of primaries by sparse inversion applied to up/down wavefields[C]// SEG Expanded Abstracts, 2009:3143-3147.
[36]	Van Groenestijn G J A, Verschuur D J. Using surface multiples to estimate primaries by sparse inversion from blended data[J]. Geophysical Prospecting, 2015, 59(1):10-23.
[37]	Van Groenestijn G J A, Verschuur D J. Towards a new approach for primary estimation[C]// SEG Expanded Abstracts, 2008, 27(1):2487-2491.
[38]	Van Groenestijn G J A, Verschuur D J. Incorporating the source array into primary estimation[C]// EAGE Extended Abstracts, 2010.
[39]	Van Groenestijn G J, Verschuur D J. Estimation of primaries by sparse inversion from blended data[C]// EAGE Extended Abstracts, 2009.
[40]	刘国昌, 陈小宏, 宋家文. 基于稀疏反演的OBS数据多次波压制方法[J]. 地球物理学报, 2013, 56(12):4288-4296.
[40]	Liu G C, Chen X H, Song J W. Estimation of primaries and multiples by sparse inversion for OBS data with integration of streamer data[J]. Chinese Journal of Geophysics, 2013, 56(12):4288-4296.
[41]	Lin T T Y, Herrmann F J. Robust estimation of primaries by sparse inversion via one-norm minimization[J]. Geophysics, 2013, 78(3):R133-R150.
[42]	Lopez G, Verschuur D J. SRME and estimation of primaries by sparse inversion:a hybrid approach[C]// SEG Expanded Abstracts, 2012: 1-5.
[43]	Ypma F H C, Verschuur D J. Estimating primaries by sparse inversion, a generalized approach[J]. Geophysical Prospecting, 2013, 61(s1):94-108.
[44]	Angarita G A L, Verschuur D J. Estimation of primaries by sparse inversion-parameterization via the focal domain[C]// EAGE Extended Abstracts, 2013.
[45]	Feng F, Wang D L, Zhu H, et al. Estimating primaries by sparse inversion of the 3D Curvelet transform and the L1-norm constraint[J]. Applied Geophysics, 2013, 10(2):201-209.
[46]	程浩, 王德利, 冯飞, 等. L1范数约束被动源数据稀疏反演一次波估计[J]. 地球物理学报, 2015, 58(2):674-684.
[46]	Cheng H, Wang D L, Feng F, et al. Estimating primaries by sparse inversion of passive-source seismic data with L1-norm constraint[J]. Chinese Journal of Geophysics, 2015, 58(2):674-684.
[47]	Van Groenestijn G J A. Estimation of primaries and multiples by sparse inversion[D]. Delft:Delft University of Technology, 2010.
[48]	王铁兴. 三维稀疏约束反演Closed-loop SRME方法研究[D]. 长春: 吉林大学, 2020:201-209.
[48]	Wang T X. Research on the Closed-loop SRME based on the 3D sparse inversion[D]. Changchun: Jilin University, 2020:201-209.
[49]	Lopez G A, Verschuur D J. Closed-loop surface-related multiple elimination and its application to simultaneous data reconstruction[J]. Geophysics, 2015, 80(6):V189-V199.
[50]	Gabriel A, Lopez, Verschuur D J. Closed-loop surface-related multiple elimination and its application to simultaneous data reconstruction[J]. Geophysics, 2015, 80(6):V189-V199.
[51]	Lopez G A, Verschuur D J. 3D focal Closed-Loop SRME for shallow water[C]// SEG Expanded Abstracts, 2015:4418-4422.
[52]	Vrolijk J W, Verschuur D. Integrated receiver deghosting and closed-loop surface multiple elimination[C]// SEG Expanded Abstracts, 2016:4481-4486.
[53]	Wang T, Wang D, Sun J, et al. Closed-loop SRME based on 3D L1-norm sparse inversion[J]. Acta Geophysica, 2017, 65(6):1145-1152.
[54]	Vrolijk J W, Verschuur D. Integrated receiver deghosting and closed-loop surface multiple elimination[J]. Geophysics, 2017, 82(4):T133-T141.