3D prestack plane-wave, full-waveform inversion

被引:133
|
作者
Vigh, Denes [1 ]
Starr, E. William [1 ]
机构
[1] Staag Imaging LP, Houston, TX USA
关键词
D O I
10.1190/1.2952623
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
Prestack depth migration has been used for decades to derive velocity distributions in depth. Numerous tools and methodologies have been developed to reach this goal. Exploration in geologically more complex areas exceeds the abilities of existing methods. New data-acquisition and data-processing methods are required to answer these new challenges effectively. The recently introduced wide-azimuth data acquisition method offers better illumination and noise attenuation as well as an opportunity to more accurately determine velocities for imaging. One of the most advanced tools for depth imaging is full-waveform inversion. Prestack seismic full-waveform inversion is very challenging because of the nonlinearity and nonuniqueness of the solution. Combined with multiple iterations of forward modeling and residual wavefield back propagation, the method is computer intensive, especially for 3D projects. We studied a time-domain, plane-wave implementation of 3D waveform inversion. We found that plane-wave gathers are an attractive input to waveform inversion with dramatically reduced computer run times compared to traditional shot-gather approaches. The study was conducted on two synthetic data sets - Marmousi2 and SMAART Pluto 1.5 - and a field data set. The results showed that a velocity field can be reconstructed well using a multiscale time-domain implementation of waveform inversion. Although the time-domain solution does not take advantage of wavenumber redundancy, the method is feasible on current computer architectures for 3D surveys. The inverted velocity volume produces a quality image for exploration geologists by using numerous iterations of waveform inversion.
引用
收藏
页码:VE135 / VE144
页数:10
相关论文
共 50 条
  • [21] Full-waveform inversion, Part 3: Optimization
    Witte, Philipp
    Louboutin, Mathias
    Lensink, Keegan
    Lange, Michael
    Kukreja, Navjot
    Luporini, Fabio
    Gorman, Gerard
    Herrmann, Felix J.
    [J]. Leading Edge, 2018, 37 (02): : 142 - 145
  • [22] Full-Waveform Inversion of High-Frequency Teleseismic Body Waves Based on Multiple Plane-Wave Incidence: Methods and Practical Applications
    Wang, Kai
    Wang, Yi
    Song, Xin
    Tong, Ping
    Liu, Qinya
    Yang, Yingjie
    [J]. BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2022, 112 (01) : 118 - 132
  • [23] Variational full-waveform inversion
    Zhang, Xin
    Curtis, Andrew
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 2020, 222 (01) : 406 - 411
  • [24] Evolutionary full-waveform inversion
    van Herwaarden, Dirk Philip
    Afanasiev, Michael
    Thrastarson, Solvi
    Fichtner, Andreas
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 2021, 224 (01) : 306 - 311
  • [25] Interferometric full-waveform inversion
    Sinha, Mrinal
    Schuster, Gerard T.
    [J]. GEOPHYSICS, 2019, 84 (01) : R45 - R60
  • [26] Variational full-waveform inversion
    Zhang, Xin
    Curtis, Andrew
    [J]. Geophysical Journal International, 2021, 222 (01): : 406 - 411
  • [27] 3D elastic full-waveform inversion of small-scale heterogeneities in transmission geometry
    Butzer, S.
    Kurzmann, A.
    Bohlen, T.
    [J]. GEOPHYSICAL PROSPECTING, 2013, 61 (06) : 1238 - 1251
  • [28] 3D full-waveform inversion in time-frequency domain: Field data application
    Tran, Khiem T.
    Trung Dung Nguyen
    Hiltunen, Dennis R.
    Stokoe, Kenneth
    Menq, Farnyuh
    [J]. JOURNAL OF APPLIED GEOPHYSICS, 2020, 178
  • [29] 3D full-waveform inversion in ultrasound computed tomography employing a ring-array
    Li, Fu
    Villa, Umberto
    Duric, Nebojsa
    Anastasio, Mark A.
    [J]. MEDICAL IMAGING 2023, 2023, 12470