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Towards Robust Structure-Based Enhancement and Horizon Picking in 3-D Seismic Data

Sean M. O'Malley, Ioannis A. Kakadiaris
CVPR 2004 pp. 482-489
doi:10.1109/CVPR.2004.251 /cvpr/2004/oaposmalley2004cvpr-robust/

Abstract

We present a novel structure-enhancing adaptive filter guided by features derived from the gradient structure tensor. We employ this filter to reduce noise in seismic data and to assist in generating seed points for initializing an automatic horizon picking algorithm. In addition, our algorithm takes seismic attributes into consideration to reduce the possibilities of false horizon generation and fault crossing. Comparative experimental results are presented to highlight the potential of our approach.

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Cite

Text

O'Malley and Kakadiaris. "Towards Robust Structure-Based Enhancement and Horizon Picking in 3-D Seismic Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.251

Markdown

[O'Malley and Kakadiaris. "Towards Robust Structure-Based Enhancement and Horizon Picking in 3-D Seismic Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/oaposmalley2004cvpr-robust/) doi:10.1109/CVPR.2004.251

BibTeX

@inproceedings{oaposmalley2004cvpr-robust,
  title     = {{Towards Robust Structure-Based Enhancement and Horizon Picking in 3-D Seismic Data}},
  author    = {O'Malley, Sean M. and Kakadiaris, Ioannis A.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {482-489},
  doi       = {10.1109/CVPR.2004.251},
  url       = {https://mlanthology.org/cvpr/2004/oaposmalley2004cvpr-robust/}
}