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
  • [1] Efficient full-waveform inversion with normalized plane-wave data
    Kwon, Taekhyun
    Seol, Soon Jee
    Byun, Joongmoo
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 2015, 201 (01) : 53 - 60
  • [2] Anisotropic 3D full-waveform inversion
    Warner, Michael
    Ratcliffe, Andrew
    Nangoo, Tenice
    Morgan, Joanna
    Umpleby, Adrian
    Shah, Nikhil
    Vinje, Vetle
    Stekl, Ivan
    Guasch, Lluis
    Win, Caroline
    Conroy, Graham
    Bertrand, Alexandre
    [J]. GEOPHYSICS, 2013, 78 (02) : R59 - R80
  • [3] FULL-WAVEFORM INVERSION OF PLANE-WAVE SEISMOGRAMS IN STRATIFIED ACOUSTIC MEDIA - APPLICABILITY AND LIMITATIONS
    PAN, GS
    PHINNEY, RA
    [J]. GEOPHYSICS, 1989, 54 (03) : 368 - 380
  • [4] FULL-WAVEFORM INVERSION OF PLANE-WAVE SEISMOGRAMS IN STRATIFIED ACOUSTIC MEDIA - THEORY AND FEASIBILITY
    PAN, GS
    PHINNEY, RA
    ODOM, RI
    [J]. GEOPHYSICS, 1988, 53 (01) : 21 - 31
  • [5] Elastic full waveform inversion using plane-wave
    Kwon, Taekhyun
    Byun, Joongmoo
    Kim, Byoung Yeop
    Huh, Sik
    [J]. JOURNAL OF APPLIED GEOPHYSICS, 2019, 170
  • [6] Wavefront picking for 3D tomography and full-waveform inversion
    AlTheyab, Abdullah
    Schuster, G. T.
    [J]. GEOPHYSICS, 2016, 81 (06) : R201 - R210
  • [7] Towards 3D Full-waveform Inversion of Crosshole GPR Data
    Mozaffari, A.
    Klotzsche, A.
    He, G.
    Vereecken, H.
    van der Kruk, J.
    Warren, C.
    Giannopoulos, A.
    [J]. PROCEEDINGS OF 2016 16TH INTERNATIONAL CONFERENCE ON GROUND PENETRATING RADAR (GPR), 2016,
  • [8] 3D variable-grid full-waveform inversion on GPU
    ZiYing Wang
    JianPing Huang
    DingJin Liu
    ZhenChun Li
    Peng Yong
    ZhenJie Yang
    [J]. Petroleum Science., 2019, 16 (05) - 1014
  • [9] 3D anisotropic full-waveform inversion for complex salt provinces
    Li, Junxiao
    Rusmanugroho, Herurisa
    Kalita, Mahesh
    Xin, Kefeng
    Dzulkefli, Farah Syazana
    [J]. FRONTIERS IN EARTH SCIENCE, 2023, 11
  • [10] 3D variable-grid full-waveform inversion on GPU
    Wang, Zi-Ying
    Huang, Jian-Ping
    Liu, Ding-Jin
    Li, Zhen-Chun
    Yong, Peng
    Yang, Zhen-Jie
    [J]. PETROLEUM SCIENCE, 2019, 16 (05) : 1001 - 1014