Please wait a minute...
E-mail Alert Rss
 
物探与化探  2021, Vol. 45 Issue (3): 702-711    DOI: 10.11720/wtyht.2021.1160
  方法研究·信息处理·仪器研制 本期目录 | 过刊浏览 | 高级检索 |
一种基于连续补偿函数的时变增益限反Q滤波方法
邓儒炳(), 阎建国, 陈琪, 宋鑫磊
成都理工大学 地球物理学院,四川 成都 610059
A new time-varying gain limits inverse Q filtering with the continuous compensation function
DENG Ru-Bing(), YAN Jian-Guo, CHEN Qi, SONG Xin-Lei
College of Geophysics,Chengdu University of Technology,Chengdu 610059,China
全文: PDF(7306 KB)   HTML
输出: BibTeX | EndNote (RIS)      
摘要 

反Q滤波是提高地震资料分辨率和保幅处理的常用方法之一,在地震储层预测中具有重要的实用价值。长期以来人们不断加以研究改进,其中采用时变增益限振幅补偿函数的反Q滤波方法是当前研究改进的方向之一。本文通过对几种常用的反Q滤波方法进行研究,提出了一种基于Teager-Kaiser能量原理求取振幅补偿函数增益限的时变增益限反Q滤波方法,改进了传统反Q滤波方法中存在的不足。新方法基于平滑连续函数而不是基于常用反Q滤波方法中采用的分段函数或截止频率来计算补偿函数的时变增益极限,因此新方法具有稳定调整时变增益极限的优点,从而提高了反Q滤波的可靠性和精度,特别是对于深层介质的保幅及分辨率提高效果较好。本文用理论模型及实际资料证明了新方法的有效性及实用性。

服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
邓儒炳
阎建国
陈琪
宋鑫磊
关键词 振幅损失相位畸变衰减补偿高分辨率地震资料反Q滤波    
Abstract

Inverse Q filtering is one of the practical methods for improving the resolution and preserving the amplitude of seismic data,and hence it has important practical value in seismic reservoir prediction.Researchers have been studying the function of amplitude for a long time,and have found that the inverse Q filtering method using time-varying amplitude compensation function is one of the current research and improvement directions.In this paper,by studying several commonly used and effective inverse Q filtering methods,a time-varying gain limit inverse Q filtering method based on the Teager-Kaiser energy principle to obtain the gain limit of the amplitude compensation function is proposed,which improves the traditional inverse Q filter.The new method calculates the time-varying gain limit of the compensation function based on a smooth continuous function instead of the piecewise function or cut-off frequency used in traditional inverse Q filtering.Therefore,the new method has the advantage of stably adjusting the time-varying gain limit,so it can increase the accuracy of the inverse Q filter,especially for the amplitude preservation and resolution improvement of deep media.The effectiveness and practicability of the proposed method were proved with theoretical models and practical data.

Key wordsamplitude loss    phase distortion    attenuation compensation    high resolution seismic data    inverse Q filtering
收稿日期: 2020-04-09      修回日期: 2021-03-03      出版日期: 2021-06-20
ZTFLH:  P631.4  
基金资助:中国石油科技重大专项(2017E-0402);中国石油科技重大专项(2019E-26)
作者简介: 邓儒炳(1994-),男,研究生在读,主要从事油气储层预测方面的研究工作。Email: 2867252925@qq.com
引用本文:   
邓儒炳, 阎建国, 陈琪, 宋鑫磊. 一种基于连续补偿函数的时变增益限反Q滤波方法[J]. 物探与化探, 2021, 45(3): 702-711.
DENG Ru-Bing, YAN Jian-Guo, CHEN Qi, SONG Xin-Lei. A new time-varying gain limits inverse Q filtering with the continuous compensation function. Geophysical and Geochemical Exploration, 2021, 45(3): 702-711.
链接本文:  
https://www.wutanyuhuatan.com/CN/10.11720/wtyht.2021.1160      或      https://www.wutanyuhuatan.com/CN/Y2021/V45/I3/702
Fig.1  常规反Q滤波振幅补偿函数走势
Fig.2  截止频率法反Q滤波振幅补偿函数走势
Fig.3  稳定因子法反Q滤波振幅补偿函数走势
Fig.4  自适应增益限反Q滤波振幅补偿函数走势
Fig.5  时变增益限反Q滤波振幅补偿函数走势
Fig.6  单道模型各反Q滤波方法补偿结果
a—衰减后记录;b—常规反Q滤波补偿后记录;c—截止频率法反Q滤波补偿后记录;d—稳定因子法反Q滤波补偿后记录;e—自适应增益限反Q滤波补偿后记录;f—时变增益限稳定因子法反Q滤波补偿后记录
Fig.7  不同Q值合成地震记录情况下各反Q滤波方法补偿后结果
a—原始记录;b—常规反Q滤波补偿后记录;c—截止频率法反Q滤波补偿后记录;d—稳定因子法反Q滤波补偿后记录;e—自适应增益限反Q滤波补偿后记录;f—时变增益限稳定因子法反Q滤波补偿后记录
Fig.8  叠前CMP正演道集时变增益限反Q滤波补偿结果
a—原始CMP正演道集模型;b—稳定因子法补偿结果;c—时变增益限反Q滤波方法补偿结果
Fig.9  时变增益限反Q滤波补偿前(a)后(b)叠前CRP道集
Fig.10  叠后地震资料时变增益限反Q滤波结果
a—原始T8目的层地震剖面;b—时变增益限反Q滤波后的T8目的层地震剖面;c—原始T8目的层RMS水平切片;d—时变增益限反Q滤波后T8目的层RMS水平切片
Fig.11  叠后地震资料时变增益限反Q滤波频谱对比分析
a—原始地震资料频谱分析;b—时变增益限反Q滤波后频谱分析
Fig.12  时变增益限反Q滤波前(a)后(b)T8目的层上部反演结果
[1] Hale D Q. Adaptive prediction error filters[J]. Stanford Exploration Project Report, 1981, 28:209-231.
[2] Wang Y. A stable and efficient approach of inverse Q filtering[J]. Geophysics, 2002, 67(2):657-663.
doi: 10.1190/1.1468627
[3] Wang Y. Quantifying the effectiveness of stabilized inverse Q filtering[J]. Geophysics, 2003, 68(1):337-345.
doi: 10.1190/1.1543219
[4] Wang Y. Inverse Q-filter for seismic resolution enhancement[J]. Geophysics, 2006, 71(3):V51-V60.
doi: 10.1190/1.2192912
[5] Wang Y H, Guo J. Seismic migration with inverse Q filtering[J]. Geophysical Research Letters, 2004, 31(21):1-4.
[6] Zhang H, Cao C, Dan Z, et al. Improving pre-stack seismic data resolution based on inverse Q filter[J]. Applied Mechanics & Materials, 2013, 331:617-621.
[7] Kaiser J F. On a simple algorithm to calculate the energy of a signal[J]. Proceedings of the IEEE ICASSP, 1990:381-384.
[8] Zhang G L, Wang X M, He Z H, et al. The study of inverse Q-filter for seismic resolution enhancement[C]// Eage Workshop on Borehole Geophysics, 2015.
[9] Tim S, Elena K, Sarah S. Amplitude friendly inverse Q filtering [C]// 89th Annual International Meeting,SEG , 2019.
[10] Futterman W I. Dispersive body waves[J]. Geophysics, 1962, 69(13):5279-5291.
[11] 张瑾. 地震波能量补偿反Q滤波方法研究[D]. 长春:吉林大学, 2013.
[11] Zhang J. Study on the inverse Q filtering method for seismic wave energy[D]. Changchun:Jilin University, 2013.
[12] 余振, 王彦春, 何静, 等. 反Q滤波方法研究综述[J]. 勘探地球物理进展, 2009, 32(5):309-314.
[12] Yu Z, Wang Y C, He J, et al. Summary of research on inverse Q filtering method[J]. Progress in Exploration Geophysics, 2009, 32(5):309-314.
[13] 裴江云, 何樵登. 基于Kjartansson模型的反Q滤波[J]. 地球物理学进展, 1994, 9(1):90-99.
[13] Pei J Y, He Q D. Inverse Q filtering based on Kjartansson model[J]. Progress in Geophysics, 1994, 9(1):90-99.
[14] 张固澜, 林进, 王熙明, 等. 一种自适应增益限的反Q滤波[J]. 地球物理学报, 2015, 58(7):2525-2535.
[14] Zhang G L, Lin J, Wang X M, et al. An adaptive gain limit inverse Q filter[J]. Chinese Journal of Geophysics, 2015, 58(7):2525-2535.
[15] 曹思远, 袁殿. 高分辨率地震资料处理技术综述[J]. 新疆石油地质, 2016, 37(1):112-119.
[15] Cao S Y, Yuan D. Overview of high-resolution seismic data processing technology[J]. Xinjiang Petroleum Geology, 2016, 37(1):112-119.
[16] 陈爱飞. 基于改进广义S变换的地震波Q值提取及反Q滤波研究[D]. 南昌:东华理工大学, 2017.
[16] Chen A F. The study on Q value extraction and inverse Q filtering of seismic wave based on improved generalized S transform[D]. Nanchang:East China University of Technology, 2017.
[17] 黄飞. 稳定高效的Q值提取与反Q滤波方法研究[D]. 长春:吉林大学, 2012.
[17] Huang F. Study on stable and efficient Q extraction and inverse Q filtering[D]. Changchun:Jilin University, 2012.
[18] 李君君, 王志章, 张枝焕, 等. 质心频率线性拟合法估算品质因子Q[J]. 石油地球物理勘探, 2015, 50(2):254-259.
[18] Li J J, Wang Z Z, Zhang Z H, et al. Quality factor Q estimated by linear fitting of centroid frequency[J]. Oil Geophysical Prospecting, 2015, 50(2):254-259.
[19] 王东鹤, 陈祖斌, 刘昕, 等. 地震波射线追踪方法研究综述[J]. 地球物理学进展, 2016, 31(1):344-353.
[19] Wang D H, Chen Z B, Liu X, et al. Review of research on seismic wave ray tracing methods[J]. Progress in Geophysics, 2016, 31(1):344-353.
[20] 严红勇, 刘洋. 地震资料Q值估算与反Q滤波研究综述[J]. 地球物理学进展, 2011, 26(2):606-615.
[20] Yan H Y, Liu Y. A review of research on seismic data Q value estimation and inverse Q filtering[J]. Progress in Geophysics, 2011, 26(2):606-615.
[1] 俞岱, 何志军, 孙渊, 王颖. 基于波场延拓的反Q滤波方法比较[J]. 物探与化探, 2018, 42(2): 331-338.
[2] 王珊, 于承业, 王云专, 刘颖超.  稳定有效的反Q滤波方法[J]. 物探与化探, 2009, 33(6): 696-699.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-3
版权所有 © 2021《物探与化探》编辑部
通讯地址:北京市学院路29号航遥中心 邮编:100083
电话:010-62060192;62060193 E-mail:whtbjb@sina.com