Unsupervised seismic facies analysis using wavelet transform and self-organizing maps

@article{Matos2007UnsupervisedSF,
  title={Unsupervised seismic facies analysis using wavelet transform and self-organizing maps},
  author={M. Matos and P. Os{\'o}rio and P. Johann},
  journal={Geophysics},
  year={2007},
  volume={72},
  pages={9}
}
Unsupervised seismic facies analysis provides an effective way to estimate reservoir properties by combining different seismic attributes through pattern recognition algorithms. However, without consistent geological information, parameters such as the number of facies and even the input seismic attributes are usually chosen in an empirical way. In this context, we propose two new semiautomatic alternative methods. In the first one, we use the clustering of the Kohonen self-organizing maps… Expand
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