Stereo-tomography is a distinctive tomographic method. In the previous work, we successfully extend the stereo-tomography from the B-spline based model representation to triangulated-mesh based model representation. In this abstract, along with a more practical work-flow being presented, triangulated stereo-tomography has been applied to the real data acquired in the South China Sea for the first time. After some key geological horizons have been picked based on an initial depth image with a highly efficient automatic tracking algorithm, we employ an automatic growth algorithm to accomplish the closure of the geological framework based on picked horizons. With the slowness within each block is assigned via a simple average based on the initial model, an initial triangulated model is build up. Then a stereo-tomography in triangulated model will be implemented. The real case study demonstrated that triangulated stereo-tomography can help refining the model output from conventional stereo-tomography. We expect that the inverted model can be used for reverse-time migration or as a better starting model for full-wave inversion.


Article metrics loading...

Loading full text...

Full text loading...


  1. Billette, F., and Lambare, G.
    , 1998, Velocity macro-model estimation from seismic reflection data by Stereo-tomography. Geophy. J. Int., 135(2): 671–680.
    [Google Scholar]
  2. FarraV., VirieusJ. and Madariaga, R.
    1989, Ray perturbation theory for interfaces, Geophys. J. Int., 99:377–390.
    [Google Scholar]
  3. GuillaumeP., Zhang, P. X., PrescottA.
    , 2013, Multi-layer Non-linear Slope Tomography, EAGE, Expanded Abstracts, Th 04 01.
    [Google Scholar]
  4. Li, Z.W., Yang, K., Xiong, K., Ni, Y., Wang, Y.X.
    , 2015, Towards an Edge-preserving Stereotomography with a Practical Model Regularization Technique. EAGE, Expanded Abstracts, We P1 03.
    [Google Scholar]
  5. Wang, Y., Yang, K., Xiong, K.
    , 2015, An Efficient High-density Kinematic Invariant Picking Method for Stereotomography Based on Structure Tensors. EAGE, Expanded Abstracts, Th P3 11.
    [Google Scholar]
  6. Wu, X. and D.Hale
    , 2015, Horizon volumes with interpreted constraints. Geophysics, 80 (2), IM21–IM33.
    [Google Scholar]
  7. Xing, F., Yang, K., ZhangL.Q.
    , 2017, Edge-preserving Stereotomography, 87th SEG, Expanded Abstracts, 5761–5766.
    [Google Scholar]
  8. Yang, K., ShaoW., D., XingF.Y., Xiong, K.
    , 2017, Stereotomography in triangulated models, 79th EAGE Conference & Exhibition 2017, WE-P3-02. Paris, France.
    [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