Channel boundary detection based on 2D shearlet transformation: An application to the seismic data in the South Caspian Sea

  • Haleh Karbalaali, Abdolrahim Javaherian, Stephan Dahlke, Siyavash Torabi
  • Journal of Applied Geophysics, November 2017, Elsevier
  • DOI: 10.1016/j.jappgeo.2017.09.001

This article applied the novel shearlet transform for the purpose of seismic channel edge detection.

What is it about?

We applied the novel shearlet transform for the purpose of seismic channel edge detection for the first time. We also compared the result with Sobel and Canny edge detectors for both synthetic and real seismic examples.

Why is it important?

It is important nowadays to automatically detect features in seismic data and this article aims to find channel boundaries in 2D time slices automatically.

Perspectives

haleh Karbala Ali
Amirkabir University of Technology

It is interesting to apply the multi-scale and multi-directional shearlet transform to decompose seismic time slices containing channels.

Read Publication

http://dx.doi.org/10.1016/j.jappgeo.2017.09.001

The following have contributed to this page: haleh Karbala Ali