Quantifying and correcting residual azimuthal anisotropic moveout in image gathers using dynamic time warping

被引:5
|
作者
Decker, Luke [1 ]
Zhang, Qunshan [2 ]
机构
[1] Univ Texas Austin, Oden Inst Computat Engn & Sci, Austin, TX 78712 USA
[2] Repsol USA, The Woodlands, TX 77381 USA
关键词
VELOCITY ANALYSIS; WAVE-PROPAGATION;
D O I
10.1190/GEO2019-0324.1
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
We have developed a novel application of dynamic time warping (DTW) for correcting residual moveout in image gathers, enhancing seismic images, and determining azimuthal anisotropic orientation and relative intensity when moveout is caused by wave propagation through a medium possessing elliptical horizontally transverse isotropy (HTI). The method functions by first using DTW to determine the sequences of integer shifts that most closely match seismic traces within an image gather to its stack and then applying those shifts to flatten the gather. Flattening shifts are fitted to an ellipse to provide an approximation for the orientation and relative strength of elliptical HTI anisotropy. We evaluated the method on synthetic and 3D field data examples to show how it is able to (1) correct for residual azimuthal anisotropic moveout, (2) accurately recover high-frequency information and improve feature resolution in seismic images, and (3) determine the anisotropic orientation while providing a measure of relative strength of elliptic anisotropy. Although the method is not intended to replace anisotropic processing techniques for moveout correction, we find that it has the ability to inexpensively approximate the effects of such operations while providing a representation of the elliptic HTI anisotropy present within a volume.
引用
收藏
页码:O71 / O82
页数:12
相关论文
共 50 条
  • [1] Residual moveout in anisotropic angle-domain common-image gathers
    Biondi, Biondo
    [J]. GEOPHYSICS, 2007, 72 (02) : S93 - S103
  • [2] Nonstretching normal-moveout correction using a dynamic time warping algorithm
    Chen, Shuangquan
    Jin, Song
    Li, Xiang-Yang
    Yang, Wuyang
    [J]. GEOPHYSICS, 2018, 83 (01) : V27 - V37
  • [3] Residual computation using dynamic time warping
    Llanos, D
    Gamero, FI
    Colomer, J
    Meléndez, J
    [J]. INTELLIGENT AUTOMATIONS AND CONTROL: TRENDS PRINCIPLES, AND APPLICATIONS, VOL 16, 2004, 16 : 143 - 148
  • [4] Nonstretching normal-moveout correction using a dynamic time warping algorithm
    Chen S.
    Jin S.
    Li X.-Y.
    Yang W.
    [J]. 2018, Society of Exploration Geophysicists (83) : V27 - V37
  • [5] Word image matching using dynamic time warping
    Rath, TM
    Manmatha, R
    [J]. 2003 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL II, PROCEEDINGS, 2003, : 521 - 527
  • [6] Quantifying dynamic time warping distance using probabilistic model in verification of dynamic signatures
    Al-Hmouz, Rami
    Pedrycz, Witold
    Daqrouq, Khaled
    Morfeq, Ali
    Al-Hmouz, Ahmed
    [J]. SOFT COMPUTING, 2019, 23 (02) : 407 - 418
  • [7] Quantifying dynamic time warping distance using probabilistic model in verification of dynamic signatures
    Rami Al-Hmouz
    Witold Pedrycz
    Khaled Daqrouq
    Ali Morfeq
    Ahmed Al-Hmouz
    [J]. Soft Computing, 2019, 23 : 407 - 418
  • [8] Vertical seismic profile migration velocity analysis via residual moveout in receiver domain common image gathers
    Du, Yue
    Willis, Mark E.
    Stewart, Robert R.
    [J]. GEOPHYSICS, 2015, 80 (05) : U61 - U72
  • [9] Improved Curvature Scale Space based on image retrieval using Dynamic Time Warping
    Kim, Sang Hee
    Mun, Youngsong
    Choi, Hyung Il
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2008, PT 2, PROCEEDINGS, 2008, 5073 : 32 - +
  • [10] One dimensional image processing for eye tracking using derivative dynamic time warping
    Mokhtar, N.
    Arof, H.
    Iwahashi, M.
    [J]. SCIENTIFIC RESEARCH AND ESSAYS, 2010, 5 (19): : 2947 - 2952