ISSN 1004-4140
CN 11-3017/P
Volume 32 Issue 2
Mar.  2023
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Abstract
References
WANG X A, ZHANG J H, XIA L J, et al. Adaptive Weight Multi-channel Matching Pursuit Algorithm-Based Strong Shielding Removal Method[J]. CT Theory and Applications, 2023, 32(2): 179-188. DOI: 10.15953/j.ctta.2022.120. (in Chinese).
Citation: WANG X A, ZHANG J H, XIA L J, et al. Adaptive Weight Multi-channel Matching Pursuit Algorithm-Based Strong Shielding Removal Method[J]. CT Theory and Applications, 2023, 32(2): 179-188. DOI: 10.15953/j.ctta.2022.120. (in Chinese).
shu

Adaptive Weight Multi-channel Matching Pursuit Algorithm-Based Strong Shielding Removal Method

  • 1.

    China University of Petroleum, Qingdao 266580 School of Geosciences

  • 2.

    China University of Petroleum, Qingdao 266580 Key Laboratory of Deep Oil & Gas

  • 2.

    Geophysical Technological Institute of Jiangsu Oilfield Company, SINOPEC, Nanjing 210046

More Information
  • Received Date: June 18, 2022
  • Revised Date: July 13, 2022
  • Accepted Date: August 04, 2022
  • Available Online: August 21, 2022
  • Published Date: March 30, 2023
    Graphical Abstract
    • Abstract
  • The strata with large impedance differences are presented as strong amplitude seismic events on the seismic profile, which obscure useful information of nearby reservoirs and need interpretive target processing to remove the strong shielding. Therefore, this study proposes a multi-channel matching pursuit algorithm based on adaptive weight to remove strong shielding. Moreover, to address the problem of poor matching accuracy and spatial continuity of normal multi-channel matching pursuit at area where strong tectonic changes occur, a multi-channel matching pursuit de-strong shielding method based on adaptive weights is proposed. First, we used the layer structure information to flatten the strong reflection layer locally to weaken the influence of stratigraphic structure changes on the extraction of the strong reflection layer. Subsequently, we introduced a correlation coefficient between adjacent seismic traces and the central trace as the weight of multi trace averaging, which improved the stability and lateral continuity of the matching results. The result analysis of model processing tests and practical seismic data application shows that the proposed method can effectively strip the strong reflections and highlight the effective reservoir information; the well seismic match degree is significantly improved with higher matching accuracy, better spatial continuity, and better striping effect than those of the conventional matching pursuit algorithm.
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    • References (19)
  • [1]
    韩文功, 张军华. 弱反射地震信号特征及识别方法理论研究[J]. 石油地球物理勘探, 2011,46(2): 232−236. doi: 10.13810/j.cnki.issn.1000-7210.2011.02.013

    HAN W G, ZHANG J H. Theoretical study on the characteristics of weak reflection seismic signals and identification methods[J]. Oil Geophysical Prospecting, 2011, 46(2): 232−236. (in Chinese). doi: 10.13810/j.cnki.issn.1000-7210.2011.02.013
    [2]
    朱博华, 向雪梅, 张卫华. 匹配追踪强反射层分离方法及应用[J]. 石油物探, 2016,55(2): 280−287. doi: 10.3969/j.issn.1000-1441.2016.02.014

    ZHU B H, XIANG X M, ZHANG W H. Strong reflection horizons separation based on matching pursuit algorithm and its application[J]. Geophysical Prospecting for Petroleum, 2016, 55(2): 280−287. (in Chinese). doi: 10.3969/j.issn.1000-1441.2016.02.014
    [3]
    张军华, 刘振, 刘炳杨, 等. 强屏蔽层下弱反射储层特征分析及识别方法[J]. 特种油气藏, 2012,19(1): 23−26. doi: 10.3969/j.issn.1006-6535.2012.01.004

    ZHANG J H, LIU Z, LIU B Y, et al. Analysis and identification of reservoir characteristics of weak reflector under strong shielding layer[J]. Special Oil & Gas Reservoirs, 2012, 19(1): 23−26. (in Chinese). doi: 10.3969/j.issn.1006-6535.2012.01.004
    [4]
    李曙光, 徐天吉, 唐建明, 等. 基于频率域小波的地震信号多子波分解及重构[J]. 石油地球物理勘探, 2009,44(6): 675−679. doi: 10.3321/j.issn:1000-7210.2009.06.006

    LI S G, XU T J, TANG J M, et al. Seismic signal multi-wavelet decomposition and reconfiguration based on wavelet in frequency domain[J]. Oil Geophysical Prospecting, 2009, 44(6): 675−679. (in Chinese). doi: 10.3321/j.issn:1000-7210.2009.06.006
    [5]
    秦雪霏, 李巍. 大牛地气田煤系地层去煤影响储层预测技术[J]. 吉林大学学报: 地球科学版, 2014,44(3): 1048−1054.

    QIN X F, LI W. Research of identification and striping of coal-bed interference in Danoudi gas field[J]. Journal of Jilin University: Earth Science Edition, 2014, 44(3): 1048−1054. (in Chinese).
    [6]
    MALLAT S, ZHANG Z. Matching pursuit with time-frequency dictionaries[J]. IEEE Transactions on Signal Processing, 1993, 41(12): 3397−3415. doi: 10.1109/78.258082
    [7]
    CHAKRABORTY A, OKAYA D. Frequency-time decomposition of seismic data using wavelet-based methods[J]. Geophisics, 1995, 60(6): 1906−1916. doi: 10.1190/1.1443922
    [8]
    LIU J L, WU Y F, HAN D H, et al. Time-frequency decomposition based on Ricker wavelet[J]. SEG Technical Program Expanded Abstracts, 2004, 23: 1937−1940.
    [9]
    宋维琪, 朱卫星, 孙英杰. 复数子波匹配追踪算法识别薄层砂体[J]. 地球物理学进展, 2007,22(6): 1796−1801. doi: 10.3969/j.issn.1004-2903.2007.06.018

    SONG W Q, ZHU W X, SUN Y J. Identification of thin sand body by complex wavelet matching pursuit algorithm[J]. Progress in Geophysics, 2007, 22(6): 1796−1801. (in Chinese). doi: 10.3969/j.issn.1004-2903.2007.06.018
    [10]
    WANG Y H. Seismic time-frequency spectral decomposition by matching pursuit[J]. Geophysics, 2007, 72(1): V13−V20. doi: 10.1190/1.2387109
    [11]
    WANG Y H. Multichannel matching pursuit for seismic trace decomposition[J]. Geophysics, 2010, 72(1): V61−V66.
    [12]
    张在金, 张军华, 李军, 等. 煤系地层地震强反射剥离方法研究及低频伴影分析[J]. 石油地球物理勘探, 2016,51(2): 376−383. doi: 10.13810/j.cnki.issn.1000-7210.2016.02.023

    ZHANG Z J, ZHANG J H, LI J, et al. Research on coal seam strong reflection stripping method and low frequency shadow analysis[J]. Oil Geophysical Prospecting, 2016, 51(2): 376−383. (in Chinese). doi: 10.13810/j.cnki.issn.1000-7210.2016.02.023
    [13]
    许璐, 吴笑荷, 张明振, 等. 基于局部频率约束的动态匹配追踪强反射识别与分离方法[J]. 石油地球物理勘探, 2019,54(3): 587−593. doi: 10.13810/j.cnki.issn.1000-7210.2019.03.011

    XU L, WU X H, ZHNAG M Z, et al. Identification and separation of strong reflection based on local-frequency-constrainted dynamic matching pursuit[J]. Oil Geophysical Prospecting, 2019, 54(3): 587−593. (in Chinese). doi: 10.13810/j.cnki.issn.1000-7210.2019.03.011
    [14]
    何峰, 翁斌, 韩刚, 等. 一种基于地震约束的井控匹配追踪煤层强反射消除技术[J]. 中国海上油气, 2019,31(1): 61−66.

    HE F, WENG B, HAN G, et al. A seismic constraint-based technology for coal seam strong reflection elimination via well-control matching tracking[J]. China Offshore Oil and Gas, 2019, 31(1): 61−66. (in Chinese).
    [15]
    杨子鹏, 宋维琪, 刘军, 等. 多道联合约束的匹配追踪强反射轴压制方法[J]. 石油地球物理勘探, 2021,56(1): 77−85. doi: 10.13810/j.cnki.issn.1000-7210.2021.01.009

    YANG Z P, SONG W Q, LIU J, et al. Multi-channel joint constraint matching pursuit strong reflection suppression method[J]. Oil Geophysical Prospecting, 2021, 56(1): 77−85. (in Chinese). doi: 10.13810/j.cnki.issn.1000-7210.2021.01.009
    [16]
    张云银, 魏欣伟, 谭明友, 等. 基于压缩感知技术的去除强屏蔽研究及应用[J]. 岩性油气藏, 2019, 31(4): 85-91.

    ZHANG Y Y, WEI X W, TAN M Y, et al. Research and application of strong shielding removal based on compressed sensing technology[J]. Lithologic Reservoirs, 2019, 31(4): 85-91. (in Chinese).
    [17]
    XUE J, CAI C, GU H, et al. Matching pursuit-based sparse spectral analysis: Estimating frequency-dependent anomalies from nonstationary seismic data[J]. Geophysics, 2020, 85(5): V385−V396. doi: 10.1190/geo2018-0758.1
    [18]
    LIU J, MARFURT K J. Matching pursuit decomposition using Morlet wavelets[C]//SEG Technical Program Expanded Abstracts, 2005, 24: 786-789.
    [19]
    刘磊, 张秋, 张军华, 等. 基于匹配追踪算法的强屏蔽剥离技术在樊159井区储层预测中的应用[J]. CT理论与应用研究, 2016,25(3): 331−337. DOI: 10.15953/j.1004-4140.2016.25.03.09.

    LIU L, ZHANG Q, ZHANG J H, et al. Application of the strong shield peeling technique based on matching pursuit algorithm in the reservoir prediction of Fan 159 well block[J]. CT Theory and Applications, 2016, 25(3): 331−337. DOI: 10.15953/j.1004-4140.2016.25.03.09. (in Chinese).
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