The application of frequency division ant tracking based on synchronous extrusion improvement of short time Fourier transform in crack detection
HUANG Wei1(), ZHOU Jie2, GAO Li-Jun1, WANG Sheng-Li1, YAN Hai-Tao2
1. Exploration and Development Research Institute,Northwest Oilfield Company,China Petroleum & Chemical Corporation,Urumqi 830011,China 2. School of Geophysics,Chengdu University of Technology,Chengdu 610059,China
Since the application of the time-frequency analysis method in the field of geophysics,it has been favored by geophysicists and is widely used to detect faults and cracks.Therefore,seeking for time-frequency analysis methods with higher precision has become the goal pursued in the field of seismic signal processing.The improved short-time Fourier transform method has low accuracy of time-frequency analysis due to its own window function limitation.In order to improve the time-frequency resolution to a greater extent,the authors squeezed the time-spectrum values after the improved short-time Fourier transform,and developed synchronous extrusion improved short-time Fourier transform.The synthetic signal analysis results show that synchronous squeeze improved short-time Fourier transform has higher time-frequency convergence,and can more accurately characterize the time-frequency characteristics of the signal.The theory shows that the high-frequency components of seismic data can accurately engrave tiny secondary cracks,and ant tracking technology is an effective means to detect crack and fault information.Therefore,based on the high-resolution time-frequency analysis method and the ant tracking technology,the authors predicted the three-dimensional data volume of the South China Sea by cracks.The results show that the method can describe the micro-cracks and associated folds well,and the recognition accuracy is obviously improved as compared with the algorithm of the traditional ant tracking method,thus proving the effectiveness and practicability of the proposed method.
黄苇, 周捷, 高利君, 王胜利, 严海滔. 基于同步挤压改进短时傅立叶变换的分频蚂蚁追踪在断裂识别中的应用[J]. 物探与化探, 2021, 45(2): 432-439.
HUANG Wei, ZHOU Jie, GAO Li-Jun, WANG Sheng-Li, YAN Hai-Tao. The application of frequency division ant tracking based on synchronous extrusion improvement of short time Fourier transform in crack detection. Geophysical and Geochemical Exploration, 2021, 45(2): 432-439.
Bahorich M, Farmer S. 3D seismic discontinuity for faults and stratigraphic features:the coherence cube[C] //SEG Technical Program Expanded Abstracts, 1995,14:1053-1058.
[2]
Satinder C, Marfurt K J. Seismic attributes forprospect identification and reservoir characterization[C] //SEG Geophysical Developments Series No.11, 2008.
[3]
Marfurt K J, Sudhakar V, Gersztenkorn A, et al. Coherency calculations in the presence of structural dip[J]. Geophysics, 1999,64(1):104-111.
doi: 10.1190/1.1444508
[4]
Marfurt K J, Scheet R M, Sharp J A, et al. Suppression of the acquisition footprint for seismic sequence attribute mapping[J]. Geophysics, 1998,63(3):1024-1035.
doi: 10.1190/1.1444380
Wang X W, Yang K Q, Liu Q X, et al. Application of seismic coherence algorithm based on wavelet transform[J]. Oil Geophysical Prospecting, 2002,37(4):328-331.
[6]
Dorigo M, Maniezzo V, Colorni A. Ant system:optimization by a colony of cooperating agents[J]. IEEE Transactions on Systems Man and Cybernetics:Part B, 1996,26(1):1-13.
doi: 10.1109/TSMCB.3477
[7]
Partyka G, Gridley J, Lopez J. Interpretational applications of spectral decomposition in reservoir characterization[J]. Leading Edge, 1999.
[8]
Zeng H L, John A, Katherine G J. Frequency-dependent seismic stratigraphy[J]. SEG Technical Program Expanded Abstracts, 2009,28(1):1097-1101.
[9]
Daubechies I, Lu J, Wu H T. Synchrosqueezed wavelet transforms:an empirical mode decomposition-like tool[J]. Appl. Comput. Harmon Anal., 2011,30(2):243-261.
doi: 10.1016/j.acha.2010.08.002
[10]
Yu G, Yu M, Xu C. Synchroextracting,transform[J]. IEEE Transactions on Industrial Electronics, 2017,64(10):8042-8054.
doi: 10.1109/TIE.2017.2696503
Zhuang Y M, Zhang X P, Wang Q, et al. Application and practice of ant tracking technology based on structure-oriented filtering[J]. Coal Technology, 2018,37(9):150-152.
Chen Z G, Wu R K, Sun X, et al. Improvement and application of ant tracking fault recognition technology based on reflected intensity AC component filtering[J]. Progress in Geophysics, 2017,32(5):1973-1977.
[13]
Fehmers G, Höcker C. Fast structural interpretation with structure-oriented filtering[J]. Geophysics, 2003,68(4):1286.
doi: 10.1190/1.1598121
Yin C, Du X D, Zhao R M, et al. Application of wavelet cross-frequency dip coherence in complex fracture interpretation[J]. Oil Geophysical Prospecting, 2015,50(2):346-350.
Hu B, Zhang S X. Application of ant tracking technology in fault interpretation[J]. China Petroleum and Chemical Industry Standards and Quality, 2018,38(9):175-176,178.
Zhang R, Wen X T, Li S K, et al. Application of frequency division ant tracking in identifying deep small faults[J]. Progress in Geophysics, 2017,32(1):350-356.
Yuan X Y, Li Y T, Ye N, et al. Application of ant tracking crack detection technology based on spectral decomposition in Yubei area[J]. Oil Geophysical Prospecting, 2015,50(4):665-671.
doi: 10.13810/j.cnki.issn.1000-7210.2015.04.013
Wang K, Zhang H L, Zhang R H, et al. Multi-method comprehensive evaluation of reservoir structural fractures in Keshen 2 gas field,Tarim Basin[J]. Acta Petrolei Sinica, 2015,36(6):673-687.