1887

Abstract

Summary

In area with the presence of complex large salt bodies results in a much more complicated and highly nonlinear inversion problem where we have multiple local minima with the possibility of having an ill-pose FWI problem. Current method typically pick the top salt, flood it and pick the bottom salt and include the manually developed salt in the initial velocity model. It requires a clear contrast boundary between the salt and the background sediments. This is not only time consuming but the manual interpretation is vulnerable to errors especially the bottom of the salt. An automatic velocity model building is a better alternative to manual interpretation and horizon picking. By applying FWI in two stages of model regularization namely, FWI+TV and flooding, we successfully implemented an automated velocity model building for salt body on SEAM 3D salt model. FWI+TV act as a penalty function to control the variation in the model while preserving the edges of the salt body and flooding smear the high velocity below the top of the salt across the region where there is a drop in the velocity with depth. The proposed method is more robust and less time consuming compared to the standard ‘migrate-pick-flood’ approach.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201903401
2019-10-29
2024-03-28
Loading full text...

Full text loading...

References

  1. Esser, E., Guasch, L., Herrmann, F. J., & Warner, M.
    [2016]. Constrained waveform inversion for automatic salt flooding.The Leading Edge, 35(3), 235–239.
    [Google Scholar]
  2. Kalita, M., Kazei, V., Choi, Y., & Alkhalifah, T.
    [2018]. Full-Waveform Inversion for Automated Salt Flooding. In 80th EAGE Conference and Exhibition 2018.
    [Google Scholar]
  3. Tarantola, A.
    [1984]. Inversion of seismic reflection data in the acoustic approximation.Geophysics, 49(8), 1259–1266.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201903401
Loading
/content/papers/10.3997/2214-4609.201903401
Loading

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