多次波分阶模拟及最小二乘偏移成像

doi:10.7623/syxb201812006

石油学报 ›› 2018, Vol. 39 ›› Issue (12): 1379-1388.DOI: 10.7623/syxb201812006

多次波分阶模拟及最小二乘偏移成像

李强, 王德利, 王通

吉林大学地球探测科学与技术学院吉林长春 130026

收稿日期:2017-06-05 修回日期:2018-06-07 出版日期:2018-12-25 发布日期:2018-12-29
通讯作者: 王德利,男,1973年1月生,1995年获长春地质学院学士学位,2002年获吉林大学博士学位,现为吉林大学地球探测科学与技术学院教授、博士生导师,主要从事各向异性介质波场正、反演理论和高精度地震勘探方面的研究工作。Email:wangdeli@jlu.edu.cn
作者简介:李强,男,1992年9月生,2015年获吉林大学学士学位,现为吉林大学地球探测科学与技术学院博士研究生,主要从事地震多次波偏移成像方面的研究工作。Email:qiangli15@mails.jlu.edu.cn
基金资助:
国家科技重大专项（2016ZX05026-002-003）和国家自然科学基金项目（No.41374108）资助。

Multiples simulation by orders and least-square migration

Li Qiang, Wang Deli, Wang Tong

College of Geo-Exploration Science and Technology, Jilin University, Jilin Changchun 130026, China

Received:2017-06-05 Revised:2018-06-07 Online:2018-12-25 Published:2018-12-29

摘要/Abstract

摘要：

地震正演模拟是地震数据反演及成像中极其重要的部分。基于波动方程的有限差分法是目前应用最广泛的正演模拟方法，该方法虽然精度高，但不能模拟某一特定成分的波场，缺乏灵活性。基于频率空间域单程传播算符的波场模拟方法（波场分阶模拟算符）不同于有限差分法，该方法可以分别模拟一次波与多次波（包含表面多次波和层间多次波）。在常规地震处理中，多次波往往被视为干扰信息，但多次波中包含着丰富且重要的地下结构信息，利用好这些信息将极大地提高地下结构的成像质量。通过分析多次波在常规偏移成像中的影响，利用波场分阶模拟得到一阶表面多次波以及一次波，并进行表面多次波最小二乘偏移成像研究，提高一次波的成像效果，压制表面多次波成像中的串扰，提高地下结构的成像质量。

关键词: 波场分阶模拟算符, 多次波成像假象, 一次波偏移, 表面多次波, 最小二乘偏移成像

Abstract:

Seismic forward modeling is an extremely important part of seismic data inversion and imaging. At present, the finite difference method based on wave equation is most widely used for modeling. Although the method has high precision, it cannot simulate the wave field of a certain component, thus lacking in flexibility. This paper puts forward a wave field simulation method based on the one-way propagation operator in the frequency-space domain (i.e., wave field by-order simulation operator), which is different from the finite difference method, and able to simultaneously simulate the primary wave and multiples (containing surface multiples and interlayer multiples). In the conventional seismic processing, multiples are often regarded as interference information and contain rich and important underground structure information, which can be used to greatly improve the image quality of underground structure. Through analyzing the influences of multiples on conventional migration imaging, the wave field by-order simulation is applied to obtain the first-order surface multiple and primary wave. Meanwhile, the least-square migration imaging research is conducted on surface multiples to improve the imaging effect of primary wave, suppress the crosstalk in surface multiple imaging and greatly upgrade the imaging quality of the underground structure.

Key words: wavefield by-order simulation, multiples imaging artifacts, primary migration, surface multiples, the least-square migration imaging

中图分类号:

P631.4

李强, 王德利, 王通. 多次波分阶模拟及最小二乘偏移成像[J]. 石油学报, 2018, 39(12): 1379-1388.

Li Qiang, Wang Deli, Wang Tong. Multiples simulation by orders and least-square migration[J]. Acta Petrolei Sinica, 2018, 39(12): 1379-1388.

参考文献

[1] ALTERMAN Z,KARAL F C.Propagation of elastic waves in layered media by finite difference methods[J].Bulletin of the Seismological Society of America,1968,58(1):367-398.
[2] BOORE D.Finite difference methods for seismic wave propagation in heterogeneous materials[J].Methods in Computational Physics:Advances in Research and Applications,1972,11:1-37.
[3] KELLY K R,WARD R W,TREITEL S,et al.Synthetic seismograms:a finite-difference approach[J].Geophysics,1976,41(1):2-27.
[4] MADARIAGA R.Dynamics of an expanding circular fault[J].Bulletin of the Seismological Society of America,1976,66(3):639-666.
[5] VIRIEUX J.SH wave propagation in heterogeneous media:velocity-stress finite -difference method[J].Geophysics,1984,15(4):265-265.
[6] IGEL H,MORA P,RIOLLET B.Anisotropic wave propagation through finite-difference grids[J].Geophysics,1995,60(4):1203-1216.
[7] 王秀明,张海澜,王东.利用高阶交错网格有限差分法模拟地震波在非均匀孔隙介质中的传播[J].地球物理学报,2003,46(6):842-849.
WANG Xiuming,ZHANG Hailan,WANG Dong.Modelling of seismic wave propagation in hetero geneous poroelastic media using a high-order staggered finite-difference method[J].Chinese Journal of Geophysics,2003,46(6):842-849.
[8] 王德利,何樵登,韩立国.裂隙型单斜介质中多方位地面三分量记录模拟[J].地球物理学报,2005,48(2):386-393.
WANG Deli,HE Qiaodeng,HAN Liguo.Multi-azimuth three-component surface seismic modeling for cracked monoclinic media[J].Chinese Journal of Geophysics,2005,48(2):386-393.
[9] VERSCHUUR D J,BERKHOUT A J,WAPENAAR C P A.Adaptive surface-related multiple elimination.Geophysics, 1992,57(9):1166-1177.
[10] VAN GROENESTIJN G J A,VERSCHUUR D J.Estimating primaries by sparse inversion and application to near-offset data reconstruction[J].Geophysics, 2009,74(3):A23-A28.
[11] 刘成明,王德利.基于贝叶斯理论的Shearlet域一次波与多次波分离[J].石油学报,2016,37(4):483-489.
LIU Chengming,WANG Deli.Primary and multiple separation in Shearlet domain based on Bayesian theory[J].Acta Petrolei Sinica,2016,37(4):483-489.
[12] BERKHOUT A J.Review paper:an outlook on the future of seismic imaging,Part I:forward and reverse modelling[J].Geophysical Prospecting,2014,62(5):911-930.
[13] BERKHOUT A J.Review paper:an outlook on the future of seismic imaging,Part Ⅱ:Full-Wavefield migration[J].Geophysical Prospecting,2014,62(5):931-949.
[14] BERKHOUT A J.Review paper:an outlook on the future of seismic imaging,Part Ⅲ:joint migration inversion[J].Geophysical Prospecting,2014,62(5):950-971.
[15] VERSCHUUR D J,BERKHOUT A J.Seismic migration of blended shot records with surface-related multiple scattering[J].Geophysics,2011,76(1):A7-A13.
[16] TU Ning,HERRMANN F J.Fast imaging with surface-related multiples by sparse inversion[J].Geophysical Journal International,2015,201(1):304-317.
[17] WONG M,BIONDI B,RONEN S.Imaging with multiples using least -squares reverse time migration[J].Leading Edge,2014,33(9):970-976.
[18] ZHANG Dongliang,SCHUSTER G T.Least-squares reverse time migration of multiples[J].Geophysics,2013,79(1):S11-S21.
[19] THORBECKE J W,WAPENAAR K,SWINNEN G.Design of one-way wavefield extrapolation operators,using smooth functions in WLSQ optimization[J].Geophysics,2004,69(4):1037-1045.
[20] 石玉梅,曹宏,李宏兵,等.多参数声学全波形反演及气藏检测[J].石油学报,2016,37(2):214-221.
SHI Yumei,CAO Hong,LI Hongbing,et al.Multi-parameter acoustic full waveform inversion and gas reservoir detection[J].Acta Petrolei Sinica,2016,37(2):214-221.
[21] 刘学建,刘伊克.表面多次波最小二乘逆时偏移成像[J].地球物理学报,2016,59(9):3354-3365.
LIU Xuejian,LIU Yike.Least-squares reverse-time migration of surface-related multiples[J].Chinese Journal of Geophysics,2016,59(9):3354-3365.
[22] POLAK E,RIBIERE G.Note sur la convergence de méthodes de directions conjuguées[J].Revue Française D'Informatique et De Recherche Opérationnelle,Série Rouge,1969,3(16):35-43.
[23] 程浩,王德利,冯飞,等.噪声被动源数据一次波估计[J].石油学报,2015,36(2):197-202.
CHENG Hao,WANG Deli,FENG Fei,et al.Estimating primaries from passive seismic data activated by noise sources[J].Acta Petrolei Sinica,2015,36(2):197-202.
[24] 刘静静,刘震,齐宇,等.地震分频处理技术预测深水储集体[J].石油学报,2016,37(1):80-87.
LIU Jingjing,LIU Zhen,QI Yu,et al.Prediction of deep-water reservoir by seiemic frequency division technology[J].Acta Petrolei Sinica,2016,37(1):80-87.
[25] 宋鹏,朱博,李金山,等.多次波分阶逆时偏移成像[J].地球物理学报,2015,58(10):3791-3803.
SONG Peng,ZHU Bo,LI Jinshan,et al.Reverse time migration of divided-order multiples[J].Chinese Journal of Geophysics,2015,58(10):3791-3803.
[26] 朱博,宋鹏,李金山,等.基于多卡GPU集群的多次波逆时偏移成像技术[J].油气地质与采收率,2015,22(2):60-65.
ZHU Bo,SONG Peng,LI Jinshan,et al.Reverse time migration of multiples based on the acceleration of multi-card GPU[J].Petroleum Geology and Recovery Efficiency,2015,22(2):60-65.

多次波分阶模拟及最小二乘偏移成像

Multiples simulation by orders and least-square migration

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