Seismic facies analysis based on self-organizing map and empirical mode decomposition

@article{Du2015SeismicFA,
  title={Seismic facies analysis based on self-organizing map and empirical mode decomposition},
  author={Hao-Kun Du and Junxing Cao and Ya-Juan Xue and X. Wang},
  journal={Journal of Applied Geophysics},
  year={2015},
  volume={112},
  pages={52-61}
}
Abstract Seismic facies analysis plays an important role in seismic interpretation and reservoir model building by offering an effective way to identify the changes in geofacies inter wells. The selections of input seismic attributes and their time window have an obvious effect on the validity of classification and require iterative experimentation and prior knowledge. In general, it is sensitive to noise when waveform serves as the input data to cluster analysis, especially with a narrow… Expand
SFA-GTM: Seismic Facies Analysis Based on Generative Topographic Map and RBF
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