Journal of Jilin University(Earth Science Edition) ›› 2017, Vol. 47 ›› Issue (1): 224-233.doi: 10.13278/j.cnki.jjuese.201701302

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

Sun Chengyu1, Xie Junfa1,2, Zhang Li3, Zhang Xiaomei2, Li Shian1   

  1. 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)

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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

CLC Number: 

  • P631.4
[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.
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