The least-squares elastic reverse-time migration (LSERTM) gives an access to the true amplitude migration of the subsurface multiple parameters. Compared with conventional ERTM, it eliminates the background low-frequency noise, and enhances the illumination in the deep model. With the consideration of density variation, the best match of the waveform can be achieved, and more migrated images can be obtained to reconstruct the parameter reflectivity and suppress the parameter crosstalk.


Article metrics loading...

Loading full text...

Full text loading...


  1. AlvesG, BiondiB
    , 2016. Imaging condition for elastic reverse time migration. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists: 4173–4177.
    [Google Scholar]
  2. Claerbout, J. F.
    , 1992, Earth soundings analysis: Processing versus inversion: Blackwell Scientific PublicationsCambridge.
  3. Köhn, D., D.De Nil
    , et al., 2012. On the influence of model parameterization in elastic full waveform tomography. Geophysical Journal International, 191, 325–345.
    [Google Scholar]
  4. SunM, DongL, LiuY
    , et al., 2015. 2D frequency-domain elastic waveform inversion using matrix decomposition method. SEG Technical Program Expanded Abstracts. Society of Exploration Geophysicists.
    [Google Scholar]
  5. WangC, ChengJ, ArntsenB
    , 2016. Scalar and vector imaging based on wave mode decoupling for elastic reverse time migration in isotropic and transversely isotropic media. Geophysics, 81(5): S383–S398.
    [Google Scholar]
  6. YangJ, LiuY, DongL
    , 2016. Least-squares reverse time migration in the presence of density variations. Geophysics, 81(6): S497–S509.
    [Google Scholar]

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error