An Improved Unscale S-Transform in Frequency Domain

被引:0
|
作者
Zhang, Junjie [1 ]
Li, Jingye [1 ]
Wang, Shoudong [1 ]
Geng, Weiheng [1 ]
Cheng, Wanli [1 ]
机构
[1] China Univ Petr, Natl Engn Lab Offshore Oil Explorat, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China
关键词
Time-frequency analysis; Reservoirs; Energy resolution; Continuous wavelet transforms; Laplace equations; Fourier transforms; Time-domain analysis; Frequency-domain form of unscaled modified S-transform (FUMST); improved time resolution; Index Terms; linear function of frequency; time-frequency analysis method;
D O I
暂无
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
The time-frequency analysis methods are powerful tools in seismic interpretation and bright spot identification. The S-transform (ST), as a hybrid of the short-time Fourier transform (STFT) and continuous wavelet transform (CWT), can achieve progressive time-frequency resolution. However, limited by its linear-frequency-dependent term, the ST obtains a deviated frequency distribution. By removing this term, the frequency form of unscaled ST (FUST), as a variation of the ST, is proposed to preserve the reliable frequency distribution. The fly in the ointment is that the FUST decreases the temporal resolution of the low-frequency components, which may not be suitable for seismic reflection interpretation and reservoir location. In addition, the ST cannot tailor the time-frequency resolution for particular applications. To solve these problems, a simple and effective method is proposed by substituting the basis of the FUST. The proposed method can obtain the desired time resolution by adjusting two adjustable parameters. The corresponding inverse transform is also derived to guarantee its energy conservation and inevitable property. Numerical experiments and real data examples show better performance of the proposed method in improving temporal resolution and reservoir location over the ST and FUST.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] Stratigraphic Absorption Compensation of GPR Signal Based on Improved S-transform
    Feng, Kunwei
    Zhao, Yonghui
    Zhang, Zaiyuan
    Ge, Shuangcheng
    2015 8TH INTERNATIONAL WORKSHOP ON ADVANCED GROUND PENETRATING RADAR (IWAGPR), 2015,
  • [32] Why use the S-transform?
    Stockwell, R. G.
    PSEUDO-DIFFERENTIAL OPERATORS: PARTIAL DIFFERENTIAL EQUATIONS AND TIME-FREQUENCY ANALYSIS, 2007, 52 : 279 - 309
  • [33] The S-transform using a new window to improve frequency and time resolutions
    Kamran Kazemi
    Mohammadreza Amirian
    Mohammad Javad Dehghani
    Signal, Image and Video Processing, 2014, 8 : 533 - 541
  • [34] Laser Doppler flowmetry time-frequency analysis by the S-transform
    Assous, S
    Humeau, A
    Koïtka, A
    L'Huillier, JP
    Proceedings of the Second IASTED International Conference on Biomedical Engineering, 2004, : 318 - 321
  • [35] The S-transform using a new window to improve frequency and time resolutions
    Kazemi, Kamran
    Amirian, Mohammadreza
    Dehghani, Mohammad Javad
    SIGNAL IMAGE AND VIDEO PROCESSING, 2014, 8 (03) : 533 - 541
  • [36] An alternative inverse S-Transform for filters with time-frequency localization
    Schimmel, M
    Gallart, J
    Simon, C
    ISPA 2005: Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis, 2005, : 424 - 429
  • [37] Comments on "The inverse S-Transform in filters with time-frequency localization
    Pinnegar, C. R.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2007, 55 (10) : 5117 - 5120
  • [38] On function spaces with S-transform
    Kalita B.
    Singh S.K.
    Afrika Matematika, 2018, 29 (3-4) : 357 - 370
  • [39] The S-transform on spaces of type S
    Singh, Sunil Kumar
    INTEGRAL TRANSFORMS AND SPECIAL FUNCTIONS, 2012, 23 (07) : 481 - 494
  • [40] Modelling and simulating thunderstorm/downburst winds using S-transform and discrete orthonormal S-transform
    Hong, H. P.
    Cui, X. Z.
    Xiao, M. Y.
    JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS, 2021, 212