Nonstationary seismic-well tying with time-varying wavelets

被引:0
|
作者
Cai, Shengjuan [1 ,2 ]
Fang, Fangxin [1 ,2 ]
Wang, Yanghua [1 ,2 ]
机构
[1] Imperial Coll London, Resource Geophys Acad, London, England
[2] Imperial Coll London, Dept Earth Sci & Engn, London, England
关键词
ALGORITHM; VELOCITY; SMOOTH; LOGS;
D O I
10.1190/geo2022-0217.1
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
Seismic-well tying is an important technique for correlat-ing well-logging curves in depth with seismic traces in time. An appropriate seismic-well tying technique must account for two types of nonstationarity: the nonstationary time errors in the synthetic seismic trace caused by the inaccurate time-depth relationship established based on sonic-logging velocity and the nonstationary seismic signals due to the time-varying wavelets during wave propagation. The nonsta-tionary problems related to the time-depth relationship and the time-varying wavelets are interrelated in seismic-well ty-ing procedure. We implemented a nonstationary seismic-well tying method by iteratively updating the time-depth relation-ship and estimating the time-varying wavelets. From the esti-mated time-varying wavelets, we also estimated a Q -value by assuming that the subsurface medium has a constant Q at depth and used the constant Q to constrain the variation of the seismic wavelet during propagation. Then, we used the improved time-depth relationship and time-varying wavelets with the Q constraint for further iterations. In the iterative pro-cedure, we quantified the accuracy of the seismic-well tying result using the correlation coefficient between the synthetic and the true seismic trace in each iteration and evaluated the reliability using the normalized mean-square errors among the wavelets estimated in different iterations.
引用
收藏
页码:M145 / M155
页数:11
相关论文
共 50 条
  • [21] A Time-Varying Autoregressive Model for Characterizing Nonstationary Processes
    de Souza, Douglas Baptista
    Kuhn, Eduardo Vinicius
    Seara, Rui
    IEEE SIGNAL PROCESSING LETTERS, 2019, 26 (01) : 134 - 138
  • [22] Time-varying spectra for underspread and overspread nonstationary processes
    Matz, G
    Hlawatsch, F
    CONFERENCE RECORD OF THE THIRTY-SECOND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1998, : 282 - 286
  • [23] TIME-VARYING STAP FOR NONSTATIONARY HOT CLUTTER CANCELLATION
    Fabrizio, Giuseppe A.
    Farina, Alfonso
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [24] RAINFALL GENERATION - NONSTATIONARY TIME-VARYING MULTIDIMENSIONAL MODEL
    BRAS, RL
    RODRIGUEZ-ITURBE, I
    WATER RESOURCES RESEARCH, 1976, 12 (03) : 450 - 456
  • [25] Seismic-well tie using fuzzy properties of acoustic impedance in the dynamic time warping
    Jahanjooy, Saber
    Hashemi, Hosein
    Bagheri, Majid
    Karam, Dunya Bahram
    EARTH SCIENCE INFORMATICS, 2025, 18 (02)
  • [26] Numerical solution of time-varying delay systems by Chebyshev wavelets
    Ghasemi, M.
    Kajani, M. Tavassoli
    APPLIED MATHEMATICAL MODELLING, 2011, 35 (11) : 5235 - 5244
  • [27] Detecting and describing patterns in time-varying data using wavelets
    Boyd, S
    ADVANCES IN INTELLIGENT DATA ANALYSIS: REASONING ABOUT DATA, 1997, 1280 : 585 - 596
  • [28] ESTIMATION OF A TIME-VARYING SEISMIC AUTOCORRELATION FUNCTION
    THOMPSON, DD
    COOPER, GR
    GEOPHYSICS, 1972, 37 (06) : 947 - 952
  • [29] Nonstationary filters with one time-varying function all the parameters
    Kaszynski, Roman
    Wysocka, Anna
    PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (10B): : 49 - 51
  • [30] TIME-VARYING FRACTIONALLY INTEGRATED PROCESSES WITH NONSTATIONARY LONG MEMORY
    Philippe, A.
    Surgailis, D.
    Viano, M. -C.
    THEORY OF PROBABILITY AND ITS APPLICATIONS, 2008, 52 (04) : 651 - 673