相似系数阈值滤波的数据驱动控制束偏移

doi:10.13810/j.cnki.issn.1000-7210.2019.06.010

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摘要高斯束偏移不仅具有接近波动方程偏移的精度，而且具有Kirchhoff偏移灵活、高效的特点。然而当实际地震采集数据中含有较强噪声时，易产生偏移假象而影响成像质量。为此，在传统高斯束偏移的基础上，根据有效信号和干扰信号在τ-p域中的相干性差异，发展了一种基于相似系数阈值滤波的数据驱动控制束偏移方法。采用数据驱动策略，在高斯束偏移成像过程中，先计算τ-p道集的相似系数，再通过设定相似系数阈值控制干扰信号，从而降低偏移剖面中的随机噪声；控制束偏移可以直接提取角度域共成像点道集，无需复杂的角度映射变换且具有更高信噪比。模型测试及实际资料处理结果表明：对于低信噪比数据，控制束偏移剖面的信噪比明显高于常规高斯束偏移，但会损失相对振幅的可靠性；尽管控制束偏移在τ-p道集的滤波过程增加了一定的计算量，但总体与常规高斯束偏移方法的计算效率相当；相似系数阈值参数选取十分关键，阈值较小时偏移噪声较强，但过大阈值也可能压制部分有效信息或产生偏移假象，选取合适的阈值参数才能得到较理想的偏移剖面。

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关键词 ：高斯束偏移, τ-p域, 相似系数, 阈值滤波, 控制束偏移, 角度域共成像点道集

Abstract：The Gaussian beam migration (GBM) has been recognized as a robust and versatile depth imaging tool with accuracy comparable to the wave-equation migration and with flexibility and efficiency comparable to Kirchhoff migration.However,migration artifacts may occur when strong ambient and random noise is usually mixed in seismic data and difficult to be distinguished in GBM,which will seriously affect the imaging.Aiming at the problem,we propose a data-driven controlled beam migration (CBM) method based on the semblance analysis in this paper.Based on the semblance difference between signal and disturbance in the τ-p domain,we first derive a formula of the semblance in the τ-p domain according to the expression in signal analysis,and then we develop a filtering method using the semblance threshold.Meantime,we adopt a data-driven strategy to eliminate the disturbance during the Gaussian beam imaging procedure,thereby reducing migration noise.Moreover,CBM can directly extract high signal-to-noise ratio (SNR) angle domain common image gathers (ADCIGs) without complex angle mapping transformations.Model and field data tests suggest that the proposed method can improve the migration SNR of poor SNR data to a certain extent with efficiency comparable to GBM,but CBM may lose the reliability of some amplitude.Furthermore,selecting an appropriate semblance threshold is very critical.If the threshold is too small,the noise may become strong.However,the excessive threshold may also suppress part of the effective information or generate artifacts.

Key words： Gaussian beam migration (GBM) τ-p domain semblance threshold filtering controlled beam migration (CBM) angle domain common image gathers (ADCIGs)

收稿日期: 2019-03-30

PACS:

P631

基金资助:本项研究受国家重点研发计划项目"超深层弱信号增强、速度建模与保幅偏移技术研究"（2016YFC060110501）、国家自然科学基金面上项目"面向深部储层的时空域自适应高斯束成像理论方法及优化"（41874149）、国家科技重大专项"薄互层全波形反演和最小二乘偏移联合成像"（2016ZX05002-005-07HZ）和"基于多次散射理论的散射波地震成像技术"（2016ZX05014-001-008HZ）联合资助。

通讯作者: 黄建平,山东省青岛市经济技术开发区长江西路66号中国石油大学(华东)地球科学与技术学院,266580。Email:jphuang@upc.edu.cn E-mail: jphuang@upc.edu.cn

作者简介: 张瑞,硕士研究生,1994年生;2016年获中国石油大学(华东)地球物理学专业理学学士学位;目前在中国石油大学(华东)攻读地质资源与地质工程专业硕士学位,主要从事高斯束反演及偏移成像方面的学习与研究。

引用本文:

张瑞, 黄建平, 李振春, 胡自多, 刘威, 魏巍. 相似系数阈值滤波的数据驱动控制束偏移[J]. 石油地球物理勘探, 2019, 54(6): 1267-1279. ZHANG Rui, HUANG Jianping, LI Zhenchun, HU Ziduo, LIU Wei, WEI Wei. A data-driven controlled beam migration based on the semblance threshold filtering. Oil Geophysical Prospecting, 2019, 54(6): 1267-1279.

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http://www.ogp-cn.com/CN/10.13810/j.cnki.issn.1000-7210.2019.06.010 或 http://www.ogp-cn.com/CN/Y2019/V54/I6/1267

[1]	Babich V M,Popov M M.Gaussian summation me-thod[J].Radiophysics and Quantum Electronics,1989,32(12):1063-1081.
[2]	Popov M M.A new method of computation of wave fields using Gaussian beams[J].Wave Motion,1982,4(1):85-97.
[3]	Popov M M.Ray Theory and Gaussian Beam Method for Geophysicists[M].EDUFBA,2002.
[4]	Bleistein N.Hagedoorn told us how to do Kirchhoff migration and inversion[J].The Leading Edge,1999,18(8):918-927.
[5]	Hill N R.Prestack Gaussian-beam depth migration[J].Geophysics,2001,66(4):1240-1250.
[6]	Gray S H,Notfors C,Bleistein N.Imaging using multi-arrivals:Gaussian beams or multi-arrival Kirchhoff?[C].SEG Technical Program Expanded Abstracts,2002,21:1117-1120.
[7]	Liu J,Palacharla G.Multiarrival Kirchhoff beam migration[J].Geophysics,2011,76(5):WB109-WB118.
[8]	Kachalov A P,Popov M M.Application of the method of summation of Gaussian beams for calculation of high-frequency wave fields[J].Soviet Physics Dok-lady,1981,26(1):604-606.
[9]	Červený V,Popov M M,Pšeněík I.Computation of wave fields in inhomogeneous media Gaussian beam approach[J].Geophysical Journal International,1982,70(1):109-128.
[10]	Červený V.Synthetic body wave seismograms for la-terally varying layered structures by the Gaussian beam method[J].Geophysical Journal of the Royal Astronomical Society,2010,doi:10.1111/j.1365-246X.1983.tb03322.x.
[11]	Červený V,Pšeněík I.Gaussian beams in two-dimensional elastic inhomogeneous media[J].Geophysical Journal International,1983,72(2):417-433.
[12]	Červený V,Pšeněík I.Gaussian beams in elastic 2-D laterally varying layered structures[J].Geophysical Journal of the Royal Astronomical Society,1983,doi:10.1111/j.1365-246x.1984.tb06472.x.
[13]	Hill N R.Gaussian beam migration[J].Geophysics,1990,55(11):1416-1428.
[14]	Nowack R L,Sen M K,Stoffa P L.Gaussian beam migration for sparse common-shot and common-receiver data[C].SEG Technical Program Expanded Abstracts,2003,22:1114-1117.
[15]	Gray S H.Gaussian beam migration of common-shot records[J].Geophysics,2005,70(4):S71-S77.
[16]	Casasanta L,Gray S H.Converted-wave beam migration with sparse sources or receivers[J].Geophysical Prospecting,2015,63(3):534-551.
[17]	Yang J,Zhu H,Huang J,et al.2D isotropic elastic Gaussian beam migration for common-shot multicomponent records[J].Geophysics,2017,83(2):S127-S140.
[18]	Alkhalifah T.Gaussian beam depth migration for anisotropic media[J].Geophysics,1995,60(5):1474-1484.
[19]	Zhu T,Gray S H,Wang D.Prestack Gaussian-beam depth migration in anisotropic media[J].Geophysics,2007,72(3):S133-S138.
[20]	Protasov M I.2-D Gaussian beam imaging of multicomponent seismic data in anisotropic media[J].Geophysical Supplements to the Monthly Notices of the Royal Astronomical Society,2015,203(3):2021-2031.
[21]	段鹏飞,程玖兵,陈爱萍,等.TI介质局部角度域高斯束叠前深度偏移成像[J].地球物理学报,2013,56(12):4206-4214.DUAN Pengfei,CHENG Jiubing,CHEN Aiping,et al.Local angle-domain Gaussian beam prestack depth migration in a TI medium[J].Chinese Journal of Geophysics,2013,56(12):4206-4214.
[22]	李振春,刘强,韩文功,等.VTI介质角度域转换波高斯束偏移成像方法研究[J].地球物理学报,2018,61(4):1471-1481.LI Zhenchun,LIU Qiang,HAN Wengong,et al.Angle domain converted wave Gaussian beam migration in VTI media[J].Chinese Journal of Geophysics,2018,61(4):1471-1481.
[23]	Popov M M,Semtchenok N M,Popov P M,et al.Depth migration by the Gaussian beam summation method[J].Geophysics,2010,75(2):S81-S93.
[24]	黄建平,张晴,张凯,等.格林函数高斯束逆时偏移[J].石油地球物理勘探,2014,49(1):101-106.HUANG Jianping,ZHANG Qing,ZHANG Kai,et al.Reverse time migration with Gaussian beams based on the Green function[J].Oil Geophysical Prospecting,2014,49(1):101-106.
[25]	张凯,段新意,李振春,等.角度域各向异性高斯束逆时偏移[J].石油地球物理勘探,2015,50(5):912-918.ZHANG Kai,DUAN Xinyi,LI Zhenchun,et al.Angle domain reverse time migration with Gaussian beams in anisotropic media[J].Oil Geophysical Prospecting,2015,50(5):912-918.
[26]	Huang J,Yuan M,Zhang Q,et al.Reverse timemigration with elastodynamic Gaussian beams[J].Journal of Earth Science,2017,28(4):695-702.
[27]	Gray S H,Bleistein N.True-amplitude Gaussian-beam migration[J].Geophysics,2009,74(2):S11-S23.
[28]	李振春,岳玉波,郭朝斌,等.高斯波束共角度保幅深度偏移[J].石油地球物理勘探,2010,45(3):360-365.LI Zhenchun,YUE Yubo,GUO Chaobin,et al.Gau-ssian beam common angle preserved-amplitude migration[J].Oil Geophysical Prospecting,2010,45(3):360-365.
[29]	Protasov M I,Tcheverda V A.True amplitude elastic Gaussian beam imaging of multicomponent walkaway vertical seismic profiling data[J].Geophysical Prospecting,2012,60(6):1030-1042.
[30]	岳玉波,李振春,钱忠平,等.复杂地表条件下保幅高斯束偏移[J].地球物理学报,2012,55(4):1376-1383.YUE Yubo,LI Zhenchun,QIAN Zhongping,et al.Amplitude-preserved Gaussian beam migration under complex topographic conditions[J].Chinese Journal of Geophysics,2012,55(4):1376-1383.
[31]	黄建平,杨继东,李振春,等.基于有效邻域波场近似的起伏地表保幅高斯束偏移[J].地球物理学报,2016,59(6):2245-2256.HUANG Jianping,YANG Jidong,LI Zhenchun,et al.An amplitude-preserved Gaussian beam migration based on wave field approximation in effective vicinity under irregular topographical conditions[J].Chinese Journal of Geophysics,2016,59(6):2245-2256.
[32]	Hu H,Liu Y,Zheng Y,et al.Least-squares Gaussian beam migration[J].Geophysics,2016,81(3):S87-S100.
[33]	Yuan M,Huang J,Liao W,et al.Least-squares Gau-ssian beam migration[J].Journal of Geophysics and Engineering,2017,14(1):184-196.
[34]	黄建平,袁茂林,李振春,等.双复杂条件下非倾斜叠加精确束偏移方法及应用Ⅰ——声波方程[J].地球物理学报,2015,58(1):267-276.HUANG Jianping,YUAN Maolin,LI Zhenchun,et al.The accurate beam migration method without slant stack under dual-complexity conditions and its application (I):Acoustic equation[J].Chinese Journal of Geophysics,2015,58(1):267-276.
[35]	张瑞,黄建平,崔超,等.莺歌海盆地二维剖面高斯束高精度叠前深度偏移[J].海洋地质与第四纪地质,2017,37(1):168-175.ZHANG Rui,HUANG Jianping,CUI Chao,et al.High precision Gaussian beam pre-stack depth migration for Yinggehai basin 2D seismic profiles[J].Marine Geology and Quaternary Geology,2017,37(1):168-175.
[36]	Yang J,Zhu H.A practical data-driven optimization strategy for Gaussian beam migration[J].Geophy-sics,2017,83(1):S81-S92.
[37]	Vinje V,Roberts G A,Taylor R.Controlled beam migration:a versatile structural imaging tool[J].First Break,2008,26(9):109-113.
[38]	Zhou B,Zhou J,Wang Z,et al.Anisotropic depth imaging with high fidelity controlled beam migration:A case study in Bohai,offshore China[C].SEG Technical Program Expanded Abstracts,2011,30:217-221.
[39]	Casasanta L,Grion S.Converted-wave controlled-beam migration for vector-offset volumes[C].SEG Technical Program Expanded Abstracts,2012,31:1-5.
[40]	Casasanta L,Gray S,Grion S.Converted-wave con-trolled beam migration with sparse sources or recei-vers[C].Extended Abstracts of 75th EAGE Conference & Exhibition,2013,doi:10.3997/2214-4609.20130716.
[41]	黄建平,吴建文,杨继东,等.一种τ-p域二维控制束成像方法[J].石油地球物理勘探,2016,51(2):342-349.HUANG Jianping,WU Jianwen,YANG Jidong,et al.A 2D control beam migration in the τ-p domain[J].Oil Geophysical Prospecting,2016,51(2):342-349.
[42]	Robein E[法]著;王克斌,曹孟起,王永明,等译.地震资料叠前偏移成像——方法、原理和优缺点分析[M].北京:石油工业出版社,2012.
[43]	孙夕平,杜世通.相干体技术算法研究及其在地震资料解释中的应用[J].中国石油大学学报(自然科学版),2003,27(2):32-35.SUN Xiping,DU Shitong.Study on coherent body algorithm and its application in seismic data interpretation[J].Journal of China University of Petroleum(Edition of Natural Science),2003,27(2):32-35.
[44]	Bahorich M,Farmer S.3-D seismic discontinuity for faults and stratigraphic features:The coherence cube[J].The Leading Edge,1995,14(10):1053-1058.
[45]	Marfurt K J,Kirlin R L,Farmer S L,et al.3-D seis-mic attributes using a semblance-based coherency al-gorithm[J].Geophysics,1998,63(4):1150-1165.
[46]	Marfurt K J,Sudhaker V,Gersztenkorn A,et al.Coherency calculations in the presence of structural dip[J].Geophysics,1999,64(1):104-111.
[47]	Neidell N S,Taner M T.Semblance and other cohe-rency measures for multichannel data[J].Geophysics,1971,36(3):482-497.
[48]	Zhang Y,Xu S,Bleistein N,et al.True-amplitude,angle-domain,common-image gathers from one-way wave-equation migrations[J].Geophysics,2007,72(1):S49-S58.
[49]	高成,孙建国,齐鹏,等.2D共炮时间域高斯波束偏移[J].地球物理学报,2015,58(4):1333-1340.GAO Cheng,SUN Jianguo,QI Peng,et al.2-D Gau-ssian-beam migration of common-shot records in time domain[J].Chinese Journal of Geophysics,2015,58(4):1333-1340.
[50]	Hale D.Migration by the Kirchhoff,Slant Stack,and Gaussian Beam Methods[R].Center for Wave Phenomena,Colorado School of Mines,1992,CWP-126.
[51]	Xu S,Chauris H,Lambaré G,et al.Common-angle migration:A strategy for imaging complex media[J].Geophysics,2001,66(6):1877-1894.
[52]	Sava P C,Fomel S.Angle-domain common-image gathers by wavefield continuation methods[J].Geophy-sics,2003,68(3):1065-1074.
[53]	Sava P,Fomel S.Coordinate-independent angle-gathers for wave equation migration[C].SEG Technical Program Expanded Abstracts,2005,24:2052-2055.
[54]	Sava P,Fomel S.Time-shift imaging condition in seismic migration[J].Geophysics,2006,71(6):S209-S217.
[55]	岳玉波.复杂介质高斯束偏移成像方法研究[D].山东青岛:中国石油大学(华东),2011.