基于汉宁窗函数滤波时间域高斯束成像方法

doi:10.6038/pg2018BB0183

地球物理学进展 ›› 2018, Vol. 33 ›› Issue (3): 1161-1166.doi: 10.6038/pg2018BB0183

• 应用地球物理学Ⅰ（油气及金属矿产地球物理勘探） • 上一篇下一篇

基于汉宁窗函数滤波时间域高斯束成像方法

杨晶^1,²,黄建平³

^1. 中国海洋大学海洋地球科学学院,山东青岛 266580
^2. 中石化石油工程地球物理有限公司胜利分公司,山东东营 257000
^3. 中国石油大学(华东)地球科学与技术学院,山东青岛 266580

收稿日期:2017-08-11 修回日期:2018-03-21 出版日期:2018-06-20 发布日期:2018-08-23
作者简介:第一作者简介杨晶,女,1978年生,辽宁人,硕士,高级工程师,主要从事地球物理数字分析方法研究与软件开发工作.(E-mail: 85958157@qq.com)
基金资助:
国家重大专项《地震与井筒精细勘探关键技术》(2016ZX05006)

Time domain Gaussian beam migration method based Hanning window filtering

YANG Jing^1,²,HUANG Jian-ping³

^1. College of Marine Geosciences, Ocean University of China, Shandong Qingdao 266580, China
^2. Sinopec Geophysical Corporation Shengli Branch, Shandong Dongying 257000, China
^3. Geosciences department of China university of petroleum, Shandong Qingdao 266580, China

Received:2017-08-11 Revised:2018-03-21 Online:2018-06-20 Published:2018-08-23

摘要/Abstract

摘要：

实际地震数据中通常存在背景噪声及人为干扰信号,传统射线类方法对低信噪比数据成像适应性较差,基于此本文发展了一种适应于低信噪比数据的时间域高斯束成像方法.相比于频率域类束方法,新方法的主要优点包括: 錒频率域高斯束偏移方法需计算每个成像点处各个频率的格林函数,基于时间域高斯束偏移方法无需上述过程,大大提高了计算效率; 錓时间域高斯束公式推导中,直接对地震记录进行局部倾斜叠加并加入汉宁窗滤波处理,对低信噪比数据具有更好的适应性.在实现成像方法的基础上,本文通过对不同信噪比Marmousi炮记录进行模型试算及含噪声实际资料成像试处理表明:时间域高斯束偏移方法能够较为明显地提高低信噪比数据的偏移效果,提高成像方法对实际数据的适应性.

关键词: 时间域高斯束, 倾斜叠加, 汉宁窗滤波, 低信噪比

Abstract:

Actual seismic data usually contains background noise and artificial coherence signal. The traditional ray methods have bad imaging effect with low Signal to Noise Ratio (SNR) data. Accordingly, we developed a time domain Gaussian beam migration method which is adapted to low SNR data. Compared with the frequency domain beam migration, the advantages of our method are as follows: firstly, the frequency domain migration methods have to calculate the Green function of every frequency at each imaging point, however the time domain Gaussian beam migration method does not need the process. This improves efficiency greatly; secondly, we directly accomplish the work of partial local slant-stack, meanwhile Hanning window filtering process is adopted in the time domain formula derivation, which has better adaption for low SNR data. Based on the implementation of migration, we tried to compute several different SNRs common-shot records of Marmousi model and image real noisy seismic data. The results verify that the time domain Gaussian beam migration method obviously improve the imaging efficiency of low SNR data and enhance the compatibility of imaging method for actual data.

Key words: time domain Gaussian beam migration, local slant-stack, Hanning window filtering, low signal to noise ratio

中图分类号:

P631

杨晶, 黄建平. 2018. 基于汉宁窗函数滤波时间域高斯束成像方法. 地球物理学进展, 33(3): 1161-1166, doi: 10.6038/pg2018BB0183.

Jing YANG, Jian-ping HUANG. 2018. Time domain Gaussian beam migration method based Hanning window filtering. Progress in Geophysics(in Chinese), 33(3): 1161-1166, doi: 10.6038/pg2018BB0183.

图/表 11

图1

图2

图3

图4

图5

图6

图7

图8

图9

图10

图11

参考文献 25

[1]	Alkhalifah T . 1995. Gaussian beam depth migration for anisotropic media[J]. Geophysics, 60(5):1474-1484.
[2]	Bleistein N, Gray S H . 2010. Amplitude calculations for 3D Gaussian beam migration using complex-valued traveltimes[J]. Inverse Problems, 26(8):085017.
[3]	$\check{G}$erven$\acute{y}$ erven V , Popov M M , Psen CiK I. 1982. Computation of wave fields in inhomogeneous media—Gaussian beam approach[J]. Geophysical Journal International, 70(1):109-128.
[4]	Gao C, Sun J G, Qi P , et al. 2015. 2-D Gaussian-beam migration of common-shot records in time domain[J]. Chinese Journal of Geophysics (in Chinese), 58(4):1333-1340. doi: 10.6038/cjg20150420
[5]	Gray S H . 2005. Gaussian beam migration of common-shot records[J]. Geophysics, 70(4):S71-S77.
[6]	Gray S H, Bleistein N . 2009. True-amplitude Gaussian-beam migration[J]. Geophysics, 74(2):S11-S23. doi: 10.1190/1.3052116
[7]	Hale D . 1992 a. Migration by the Kirchhoff, slant stack, and Gaussian beam methods[R]. Colorado: Colorado School of Mines.
[8]	Hale D . 1992 b. Computational aspects of Gaussian beam migration[R]. Colorado: Colorado School of Mines.
[9]	Hill N R . 1990. Gaussian beam migration[J]. Geophysics, 55(11):1416-1428.
[10]	Hill N R . 2001. Prestack Gaussian-beam depth migration[J]. Geophysics, 66(4):1240-1250. doi: 10.1190/1.1487071
[11]	Nowack R L, Sen M K, Stoffa P L. 2003. Gaussian beam migration for sparse common-shot and common-receiver data [C].// Proceedings of 2003 SEG Annual Meeting. Dallas, Texas: SEG, 1114-1117.
[12]	Huang J P, Yang J D, Liao W Y , et al. 2016. Common-shot Fresnel beam migration based on wave-field approximation in effective vicinity under complex topographic conditions[J]. Geophysical Prospecting, 64(3):554-570.
[13]	Li Z C, Yue Y B, Guo C B , et al. 2010. Gaussian beam common angle preserved-amplitude migration[J]. Oil Geophysical Prospecting (in Chinese), 45(3):360-365.
[14]	Popov M M, Semtchenok N M, Popov P M, et al. 2008. Reverse time migration with Gaussian beams and velocity analysis applications [C].// Proceedings of the 70th EAGE Conference and Exhibition Incorporating SPE EUROPEC 2008. SPE, EAGE.
[15]	Yang J D, Huang J P, Wang X , et al. 2015 a. Prestack Fresnel beam migration method under complex topographic conditions[J]. Chinese Journal of Geophysics (in Chinese), 58(10):3758-3770, doi: 10.6038/cjg20151026. doi: 10.6038/cjg20151026
[16]	Yang J D, Huang J P, Wang X, et al. 2015. Prestack depth migration method using the time-space Gaussian beam [C].// Proceedings of SEG Technical Program Expanded Abstracts 2015. Society of Exploration Geophysicists, 4303-4307. doi: 10.1190/segam2015-5749505.1.
[17]	Yang J D, Huang J P, Wu J W , et al. 2015 b. Accuracy factors of Green function constructed with different seismic wave beams[J]. Oil Geophysical Prospecting (in Chinese), 50(6):1073-1082. doi: 10.13810/j.cnki.issn.1000-7210.2015.06.006
[18]	Yue Y B, Li Z C, Liu W , et al. 2011. Preserved amplitude shot domain Gaussian beam migration[J]. Journal of China University of Petroleum (Edition of Natural Science) (in Chinese), 35(1):52-55. doi: 10.3969/j.issn.1673-5005.2011.01.009
[19]	Yue Y B, Li Z C, Zhang P , et al. 2010. Prestack Gaussian beam depth migration under complex surface conditions[J]. Applied Geophysics, 7(2):143-148. doi: 10.1007/s11770-010-0238-0
[20]	Zhang Y, Xu S, Bleistein N , et al. 2007. True-amplitude, angle-domain, common-image gathers from one-way wave-equation migrations[J]. Geophysics, 72(1):S49-S58. doi: 10.1190/1.2399371
[21]	高成, 孙建国, 齐鹏 , 等. 2015. 2D共炮时间域高斯波束偏移[J]. 地球物理学报, 58(4):1333-1340. doi: 10.6038/cjg20150420
[22]	李振春, 岳玉波, 郭朝斌 , 等. 2010. 高斯波束共角度保幅深度偏移[J]. 石油地球物理勘探, 45(3):360-365.
[23]	杨继东, 黄建平, 王欣 , 等. 2015 a. 复杂地表条件下叠前菲涅尔束偏移方法[J]. 地球物理学报, 58(10):3758-3770, doi: 10.6038/cjg20151026.
[24]	杨继东, 黄建平, 吴建文 , 等. 2015 b. 不同地震波束构建格林函数的精度影响因素分析[J]. 石油地球物理勘探, 50(6):1073-1082. doi: 10.13810/j.cnki.issn.1000-7210.2015.06.006
[25]	岳玉波, 李振春, 刘伟 , 等. 2011. 保幅炮域高斯波束偏移[J]. 中国石油大学学报(自然科学版), 35(1):52-55. doi: 10.3969/j.issn.1673-5005.2011.01.009

基于汉宁窗函数滤波时间域高斯束成像方法

Time domain Gaussian beam migration method based Hanning window filtering

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

图/表 11

参考文献 25

相关文章 8

编辑推荐

多维度评价

本文评价

[1]	余青露, 刘晗, 陈林谦, 马江林. 基于成像域射线束建模的剩余静校正方法研究及应用[J]. 地球物理学进展, 2020, 35(2): 680-685.
[2]	李青峰,张建中. 基于分组互相关成像条件的微震逆时成像定位方法[J]. 地球物理学进展, 2019, 34(1): 125-135.
[3]	郭爱华,叶月明,臧梅,李立胜,李玉存,吴吉忠. 老爷庙火成岩发育区低信噪比资料处理关键技术探讨[J]. 地球物理学进展, 2018, 33(3): 1043-1050.
[4]	贾萌,王显光,李世林,陈永顺. 鄂尔多斯块体及周边区域地壳结构的接收函数研究[J]. 地球物理学进展, 2015, 30(6): 2474-2481.
[5]	王晓冉,李国辉,崔辉辉,周元泽. 基于次生震相的汤加-斐济地区上地幔间断面结构研究[J]. 地球物理学进展, 2015, 30(5): 2089-2099.
[6]	贺剑波,方伍宝,李振春,刘志成. 基于CSP道集的速度分析与建模[J]. 地球物理学进展, 2014, 29(2): 733-741.
[7]	李桂林,夏忠谋,陈高,齐中山. 陆上复杂介质下高精度叠前宽方位角地震采集技术——以镇巴工区为例[J]. 地球物理学进展, 2014, 29(1): 282-290.
[8]	堀贞喜,林云松. 自回归模型系数推算方法的比较[J]. 地球物理学进展, 1990, 5(2): 39-39.