What is it about?
Automatic determination of channel boundaries in seismic data is important from both reservoir and hazard perspectives. Shearlet transform is a novel technique to decompose data into different frequency bands and directions. Then, applying common image processing algorithms, we can delineate channel edges at the finest scale (which contains highest frequencies).
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Why is it important?
This study leads to novel idea of automatic detection of channel edges based on multi-scale and multi-directional shearlet transform.
Perspectives
It was a great pleasure for me writing this article and publishing it in Geophysical Prospecting as a journal with high standards. The process of reviewing the paper helped me improve it significantly.
haleh Karbala Ali
Amirkabir University of Technology
Read the Original
This page is a summary of: Seismic channel edge detection using 3D shearlets-a study on synthetic and real channelised 3D seismic data, Geophysical Prospecting, July 2018, Wiley,
DOI: 10.1111/1365-2478.12629.
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