利用多次波和二维匹配滤波的近偏移距数据重构方法

doi:10.13278/j.cnki.jjuese.201701302

吉林大学学报(地球科学版) ›› 2017, Vol. 47 ›› Issue (1): 224-233.doi: 10.13278/j.cnki.jjuese.201701302

利用多次波和二维匹配滤波的近偏移距数据重构方法

孙成禹¹, 谢俊法^1,2, 张立³, 张小美², 李世安¹

1. 中国石油大学(华东)地球科学与技术学院, 山东青岛 266580;
2. 中国石油勘探开发研究院西北分院, 兰州 730020;
3. 中石化江苏油田分公司物探研究院, 南京 210046

收稿日期:2016-07-16 出版日期:2017-01-26 发布日期:2017-01-26
作者简介:孙成禹(1968-),男,教授,博士生导师,主要从事地震波传播理论与波场正演模拟技术、黏弹介质品质因子反演技术等研究工作,E-mail:sydxscy@163.com;谢俊法(1987-),男,博士,主要从事地震资料数字处理、地震勘探理论和方法研究工作,E-mail:xiejunfa2010@163.com
基金资助:
国家自然科学基金项目（41374123）；国家油气专项项目（2016ZX05007-006）

Reconstruction Method of near Offset Data Using Multiples and 2D Matched Filters

Sun Chengyu¹, Xie Junfa^1,2, Zhang Li³, Zhang Xiaomei², Li Shian¹

1. School of Geosciences, China University of Petroleum, Qingdao 266580, Shandong, China;
2. Research Institute of Petroleum Exploration & Development-Northwest, PetroChina, Lanzhou 730020;
3. Geophysical Prospecting Research Institute, JOECO, SINOPEC, Nanjing 210046

Received:2016-07-16 Online:2017-01-26 Published:2017-01-26
Supported by:
Supported bythe National Natural Science Foundation of China (41374123) and the National Special Oil and Gas Foundation of China (2016ZX05007-006)

摘要/Abstract

摘要： 在地震资料采集时,受地表条件、震源等因素的影响,几乎无法采集到近偏移距数据,不利于后续数据的处理。针对这一问题,研究了一种利用多次波和二维匹配滤波的近偏移距数据重构方法。首先给出了由表层多次波构建准一次波的互相关方法；然后在时间-空间滑动窗口内利用准一次波计算二维匹配滤波器,并用该滤波器重构近偏移距数据；最后使用均方根振幅校正方法校正重构数据的振幅。整个数据重构的过程在频率域进行,避免了基于维纳滤波方法求取滤波器的大量计算；同时使用快速傅里叶变换算法,提高了计算效率。与一维匹配滤波的近偏移距重构方法相比,采用二维匹配滤波方法的重构数据在空间上连续性更好。通过对Sigsbee 2B数据的处理及实际资料的测试,验证了该方法的正确性和有效性。

关键词: 表层多次波, 二维匹配滤波, 数据重构, 近偏移距, 均方根振幅校正

Abstract: In seismic data acquisition, it is always difficult to collect near offset data due to the influences of surface conditions, source and so on, affecting the follow-up data processing. We proposed a reconstruction method of near offset using multiples and two dimensional matched filters to solve the problem. First, we constructed pseudo primaries from surface-related multiples with cross-correlation method. Then we computed matched filters from the pseudo primaries and reconstruct near offset using the filters in time and space window. Finally, root mean square amplitude correction method was used to correct the amplitude of reconstruction data. The reconstruction process was designed in frequency domain to avoid large amount of calculation based on Wiener filtering method to get the matched filters, the computational efficiency was improved by using fast Fourier transform algorithm. The spatial continuity of the data reconstructed by two dimensional matched filters is better than that of one dimensional matched filters. We proved the correctness and effectiveness of the method by testing on Sigsbee 2B data and real seismic data.

Key words: surface-related multiple reflections, two dimensional matched filters, data reconstruction, near offset, root-mean-square amplitude correction

中图分类号:

P631.4

孙成禹, 谢俊法, 张立, 张小美, 李世安. 利用多次波和二维匹配滤波的近偏移距数据重构方法[J]. 吉林大学学报(地球科学版), 2017, 47(1): 224-233.

Sun Chengyu, Xie Junfa, Zhang Li, Zhang Xiaomei, Li Shian. Reconstruction Method of near Offset Data Using Multiples and 2D Matched Filters[J]. Journal of Jilin University(Earth Science Edition), 2017, 47(1): 224-233.

参考文献

[1] Spitz S. Seismic Trace Interpolation in F-X Domain[J]. Geophysics, 1991, 56(6):785-794.
[2] Verschuur D. Surface-Related Multiple Elimination:An Inversion Approach[D]. Delft:Delft University of Technology,1991.
[3] 高建军,陈小宏,李景叶,等. 基于非均匀Fourier变换的地震数据重建方法研究[J]. 地球物理学进展,2009,24(5):1741-1747. Gao Jianjun, Chen Xiaohong, Li Jingye, et al. Study on Reconstruction of Seismic Data Based on Nonuniform Fourier Transform[J]. Progress in Geophysics, 2009, 24(5):1741-1747.
[4] 国九英,周兴元. F-K域等道距道内插[J]. 石油地球物理勘探,1996,31(2):211-218. Guo Jiuying, Zhou Xingyuan. Iso-Spaced Trace Interpolation in F-K Domain[J]. Oil Geophysical Prospecting, 1996, 31(2):211-218.
[5] 张文颖. 保幅性三维傅里叶变换叠前道内插技术研究[D]. 青岛:中国石油大学(华东),2011. Zhang Wenying. Amplitude-Preserved Prestack Interpolation of Seismic Data with 3-D Fourier Transform[D]. Qingdao:China University of Petroleum (East China), 2011.
[6] 刘国昌,陈小宏,郭志峰,等. 基于Curvelet变换的缺失地震数据插值方法[J]. 石油地球物理勘探,2011,46(2):237-246. Liu Guochang, Cheng Xiaohong, Guo Zhifeng, et al. Missing Seismic Data Rebuilding by Interpolation Based on Curvelet Transform[J]. Oil Geophysical Prospecting, 2011, 46(2):237-246.
[7] 韩立国,张莹,韩利,等. 基于压缩感知和稀疏反演的地震数据低频补偿[J]. 吉林大学学报(地球科学版),2012,42(Sup.3):259-264. Han Liguo, Zhang Ying, Han Li, et al. Compressed Sensing and Sparse Inversion Based Low-Frequency Information Compensation of Seismic Data[J]. Journal of Jilin University (Earth Science Edition), 2012, 42(Sup.3):259-264.
[8] 周亚同,王丽莉,蒲青山. 压缩感知框架下基于K-奇异值分解字典学习的地震数据重建[J]. 石油地球物理勘探,2014,49(4):652-660. Zhou Yatong, Wang Lili, Pu Qingshan. Seismic Data Reconstruction Based on K-SVD Dictionary Learning Under Compressive Sensing Framework[J]. Oil Geophysical Prospecting, 2014, 49(4):652-660.
[9] 黄新武,吴律,牛滨华. 基于抛物线拉东变换的地震道重构[J]. 中国矿业大学学报,2003,32(5):534-539. Huang Xinwu, Wu Lü, Niu Binhua. Reconstruction of Seismic Trace by Parabolic Radon Transform[J]. Journal of China University of Mining & Technology, 2003, 32(5):534-539.
[10] 王维红,高红伟,刘洪. 道均衡抛物线Radon变换法地震道重建[J]. 石油地球物理勘探,2005,40(5):518-522,560. Wang Weihong, Gao Hongwei, Liu Hong. Seismic Trace Reconstruction by Trace Equalization Parabolic Radon Transform[J]. Oil Geophysical Prospecting, 2005, 40(5):518-522, 560.
[11] 张军华,吕宁,雷凌,等. 抛物线拉冬变换消除多次波的应用要素分析[J]. 石油地球物理勘探,2004,39(4):398-405. Zhang Junhua, Lü Ning, Lei Ling, et al. Analysis of Applied Factors for Using Parabolic Radon Transform to Remove Multiple[J]. Oil Geophysical Prospecting, 2004, 39(4):398-405.
[12] 李晶晶,孙成禹,谢俊法,等. 相对保幅的抛物线Radon变换法地震道重建[J]. 石油物探,2014,53(2):181-187. Li Jingjing, Sun Chengyu, Xie Junfa, et al. Seismic Trace Reconstruction by Relative Amplitude-Preserved Parabolic Radon Transform[J]. Geophysical Prospecting for Petroleum, 2014, 53(2):181-187.
[13] 石颖,张振,李婷婷,等. λ-f域加权抛物Radon变换地震数据重建方法研究[J]. 地球物理学进展,2014,29(4):1752-1757. Shi Ying, Zhang Zhen, Li Tingting, et al. Investigation on Seismic Data Reconstruction by λ-f Domain Weighted Parabolic Radon Transform Method[J]. Progress in Geophysics, 2014, 29(4):1752-1757.
[14] Liu B, Sacchi M. Minimum Weighted Norm Inter-polation of Seismic Records[J]. Geophysics, 2004, 69(6):1560-1568.
[15] Trad D. Five-Dimensional Interpolation:Recovering from Acquisition Constraints[J]. Geophysics, 2009, 74(6):V123-V132.
[16] Wang J, Wang S. Hybrid 5D Fourier Transform:A Flexible Tool for Land Data Interpolation[C]//SEG Annual Meeting. Houston:Society of Exploration Geophysicists, 2013:3603-3607.
[17] 谢俊法,孙成禹,韩文功.迭代抛物Radon变换法分离一次波与多次波[J].石油地球物理勘探,2014,49(1):76-81. Xie Junfa, Sun Chengyu, Han Wengong. Iterative Parabolic Radon Transform for Primary and Multiple Separations[J]. Oil Geophysical Prospecting,2014, 49(1):76-81.
[18] 王东凯. 浅海OBC资料自由表面多次波压制方法研究[D]. 青岛:中国海洋大学,2014. Wang Dongkai. Study on Surface-Related Multiples Attenuation of OBC Data in Shallow Water[D]. Qingdao:Ocean University of China, 2014.
[19] 吕进英,郭磊. 地震勘探中多次波的识别和压制[J]. 中州煤炭,2011(4):29-31. Lü Jinying, Guo Lei. Identification and Suppression of Multiple Waves in Seismic Exploration[J]. Zhongzhou Coal, 2011(4):29-31.
[20] Wang Y, Chang X. Hu H, et al. Simultaneous Re-verse Time Migration of Primaries and Free-Surface Related Multiples without Multiple Prediction[J]. Geophysics, 2013, 79(1):S1-S9.
[21] Curry W, Shan G., Interpolation of near Offsets Using Multiples and Prediction-Error Filters[J]. Geophysics, 2010, 75(6):WB153-WB164.
[22] Guo Shujuan, Li Zhenchun, Tong Zhaoqi, et al. Interpolation of Near Offset Using Surface-Related Multiples[J]. Applied Geophysics, 2011, 8(3):225-232.
[23] 郭书娟,方伍宝,徐兆涛. 基于表层多次波的地震数据插值方法研究[J]. 石油物探,2013,52(6):636-641. Guo Shujuan, Fang Wubao, Xu Zhaotao. Interpolation of Near Offset Seismic Trace Using Surface-Related Multiples[J]. Geophysical Prospecting for Petroleum, 2013, 52(6):636-641.
[24] 郭书娟. 表层多次波成像方法研究[D]. 青岛:中国石油大学(华东),2012. Guo Shujuan. Seismic Imaging of Surface-Related Multiples[D]. Qingdao:China University of Petroleum (East China), 2012.

相关文章 15

[1]	叶云飞, 孙建国, 张益明, 熊凯. 基于立体层析反演的低频模型构建在深水区储层反演中的应用:以南海深水W构造为例[J]. 吉林大学学报(地球科学版), 2018, 48(4): 1253-1259.
[2]	刘一, 刘财, 刘洋, 勾福岩, 李炳秀. 复杂地震波场的自适应流预测插值方法[J]. 吉林大学学报(地球科学版), 2018, 48(4): 1260-1267.
[3]	邓馨卉, 刘财, 郭智奇, 刘喜武, 刘宇巍. 济阳坳陷罗家地区各向异性页岩储层全波场地震响应模拟及分析[J]. 吉林大学学报(地球科学版), 2018, 48(4): 1231-1243.
[4]	张冰, 郭智奇, 徐聪, 刘财, 刘喜武, 刘宇巍. 基于岩石物理模型的页岩储层裂缝属性及各向异性参数反演[J]. 吉林大学学报(地球科学版), 2018, 48(4): 1244-1252.
[5]	刘明忱, 孙建国, 韩复兴, 孙章庆, 孙辉, 刘志强. 基于自适应加权广义逆矢量方向滤波估计地震同相轴倾角[J]. 吉林大学学报(地球科学版), 2018, 48(3): 881-889.
[6]	胡宁, 刘财. 分数阶时间导数计算方法在含黏滞流体黏弹双相VTI介质波场模拟中的应用[J]. 吉林大学学报(地球科学版), 2018, 48(3): 900-908.
[7]	周进举, 王德利, 李博文, 李强, 王睿. 基于解耦传播的波场分解方法在VTI介质弹性波逆时偏移中的应用[J]. 吉林大学学报(地球科学版), 2018, 48(3): 909-921.
[8]	孙建国, 苗贺. 基于Chebyshev走时逼近的三维多次反射射线计算[J]. 吉林大学学报(地球科学版), 2018, 48(3): 890-899.
[9]	郑确, 刘财, 田有. 辽宁海城及其邻区地震b值空间分布特征[J]. 吉林大学学报(地球科学版), 2018, 48(3): 922-933.
[10]	刘四新, 朱怡诺, 王旭东, 宋二乔, 贺文博. 工程地震折射波解释方法研究进展[J]. 吉林大学学报(地球科学版), 2018, 48(2): 350-363.
[11]	单刚义, 韩立国, 张丽华. 基于模型约束的Kirchhoff积分法叠前深度成像[J]. 吉林大学学报(地球科学版), 2018, 48(2): 379-383.
[12]	孙建国, 李懿龙, 孙章庆, 苗贺. 基于模型参数化的地震波走时与射线路径计算[J]. 吉林大学学报(地球科学版), 2018, 48(2): 343-349.
[13]	宁亚灵, 许家姝, 解滔, 张国苓, 卢军. 大柏舍深井地电阻率观测布极方式分析[J]. 吉林大学学报(地球科学版), 2018, 48(2): 525-533.
[14]	徐泰然, 卢占武, 王海燕, 李洪强, 李文辉. 深地震反射剖面揭示的西藏娘热矿集区上地壳结构[J]. 吉林大学学报(地球科学版), 2018, 48(2): 556-565.
[15]	王通, 王德利, 冯飞, 程浩, 魏敬轩, 田密. 三维稀疏反演多次波预测及曲波域匹配相减技术[J]. 吉林大学学报(地球科学版), 2017, 47(6): 1865-1874.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

利用多次波和二维匹配滤波的近偏移距数据重构方法

Reconstruction Method of near Offset Data Using Multiples and 2D Matched Filters

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0