Multi-resolution neural networks for tracking seismic horizons from few training images

@article{Peters2018MultiresolutionNN,
  title={Multi-resolution neural networks for tracking seismic horizons from few training images},
  author={Bas Peters and Justin Granek and Eldad Haber},
  journal={ArXiv},
  year={2018},
  volume={abs/1812.11092}
}
Detecting a specific horizon in seismic images is a valuable tool for geological interpretation. Because hand-picking the locations of the horizon is a time-consuming process, automated computational methods were developed starting three decades ago. Older techniques for such picking include interpolation of control points however, in recent years neural networks have been used for this task. Until now, most networks trained on small patches from larger images. This limits the networks ability… CONTINUE READING
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