Interferometric full-waveform inversion

被引:1
|
作者
Sinha, Mrinal [1 ]
Schuster, Gerard T. [1 ]
机构
[1] King Abdullah Univ Sci & Technol, Dept Earth Sci & Engn, Thuwal 239556900, Saudi Arabia
关键词
MIGRATION;
D O I
10.1190/GEO2018-0047.1
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
Velocity errors in the shallow part of the velocity model can lead to erroneous estimates of the full-waveform inversion (FWI) tomogram. If the location and topography of a reflector are known, then such a reflector can be used as a reference reflector to update the underlying velocity model. Reflections corresponding to this reference reflector are windowed in the data space. Windowed reference reflections are then crosscorrelated with reflections from deeper interfaces, which leads to partial cancellation of static errors caused by the overburden above the reference interface. Interferometric FWI (IFWI) is then used to invert the tomogram in the target region, by minimizing the normalized waveform misfit between the observed and predicted crosscorrelograms. Results with synthetic and field data with static errors above the reference interface indicate that an accurate tomogram can be inverted in areas lying within several wavelengths of the reference interface. IFWI can also be applied to synthetic time-lapse data to mitigate the nonrepeatability errors caused by time-varying overburden variations. The synthetic- and field-data examples demonstrate that IFWI can provide accurate tomograms when the near surface is ridden with velocity errors.
引用
收藏
页码:R45 / R60
页数:16
相关论文
共 50 条
  • [41] Correlation-based reflection full-waveform inversion
    Chi, Benxin
    Dong, Liangguo
    Liu, Yuzhu
    GEOPHYSICS, 2015, 80 (04) : R189 - R202
  • [42] Ultrasound Imaging of the Brain using Full-Waveform Inversion
    Taskin, Ulas
    Eikrem, Kjersti Solberg
    Naevdal, Geir
    Jakobsen, Morten
    Verschuur, Dirk J.
    van Dongen, Koen W. A.
    PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2020,
  • [43] Q full-waveform inversion based on the viscoacoustic equation
    En-Jiang Wang
    Yang Liu
    Yu-Xin Ji
    Tian-Sheng Chen
    Tao Liu
    Applied Geophysics, 2019, 16 : 77 - 91
  • [44] Poroelastic full-waveform inversion as training a neural network☆
    Zhang, Wensheng
    Chen, Zheng
    JOURNAL OF APPLIED GEOPHYSICS, 2024, 229
  • [45] Full-waveform inversion by model extension: Practical applications
    Barnier, Guillaume
    Biondi, Ettore
    Clapp, Robert G.
    Biondi, Biondo
    GEOPHYSICS, 2023, 88 (05) : R609 - R643
  • [46] Multiscale full-waveform inversion based on shot subsampling
    Cai-Wang Shi
    Bing-Shou He
    Applied Geophysics, 2018, 15 : 261 - 270
  • [47] Regularized full-waveform inversion with automated salt flooding
    Kalita, Mahesh
    Kazei, Vladimir
    Choi, Yunseok
    Alkhalifah, Tariq
    GEOPHYSICS, 2019, 84 (04) : R569 - R582
  • [48] Efficient source wavefield reconstruction for full-waveform inversion
    Lee, Dawoon
    Chung, Wookeen
    Kim, Young Seo
    GEOPHYSICS, 2023, 88 (06) : R769 - R788
  • [49] Acoustic Full-waveform Inversion using Adam Optimizer
    Kim, Sooyoon
    Chung, Wookeen
    Shin, Sungryul
    GEOPHYSICS AND GEOPHYSICAL EXPLORATION, 2019, 22 (04): : 202 - 209
  • [50] Adaptive structure-based full-waveform inversion
    Luo, Laiqian
    Rao, Ying
    Zhao, Zhencong
    Zhang, Junqiu
    GEOPHYSICS, 2024, 89 (03) : R303 - R313