• Corpus ID: 73614127

A deep convolutional encoder-decoder neural network in assisting seismic horizon tracking

@article{Wu2018ADC,
  title={A deep convolutional encoder-decoder neural network in assisting seismic horizon tracking},
  author={Hao Wu and Bo Zhang},
  journal={arXiv: Geophysics},
  year={2018}
}
  • Hao Wu, Bo Zhang
  • Published 18 April 2018
  • Geology
  • arXiv: Geophysics
Seismic horizons are geologically significant surfaces that can be used for building geology structure and stratigraphy models. However, horizon tracking in 3D seismic data is a time-consuming and challenging problem. Relief human from the tedious seismic interpretation is one of the hot research topics. We proposed a novel automatically seismic horizon tracking method by using a deep convolutional neural network. We employ a state-of-art end-to-end semantic segmentation method to track the… 

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