Seismic Facies Analysis Based on Kohonen 3D Neural Network With RGB Visualisation

References

1. Kohonen, T.
   , Self-organizing maps: Springer-Verlag, New York, Inc., 1995.
   [Google Scholar]
2. MarroquinI.D., BraultJ., HartB.S.
   , A visual data-mining methodology for seismic-facies analysis: Part 1 — Testing and comparison with other unsupervised clustering methods. Geophysics, Vol.74, No.1, p1-p11, 2009.
   [Google Scholar]
3. MarroquinI.D., BraultJ., HartB.S.
   , A visual data-mining methodology for seismic-facies analysis: Part 2 — Testing and comparison with other unsupervised clustering methods. Geophysics, Vol.74, No.1, p13-p23, 2009.
   [Google Scholar]
4. NeffD.B., RunnestrandS.A., ButlerE.L.
   , Multi-attribute seismic waveform classification. USA, Phillips Petroleum Company, USA Patent 6223126, 2001.
   [Google Scholar]
5. PriezzhevI., SolokhaE., ManralS.
   , 2014, Facies analysis based on seismic waveforms, Geophysica EAGO, Vol. 1.2014, pp. 63-67. (Фациальный анализ по форме сейсмического сигнала)
   [Google Scholar]
6. Priezzhev, I. and Manral, S.
   , 2012, September. 3D Seismic waveform classification. In Istanbul 2012-International Geophysical Conference and Oil & Gas Exhibition (pp. 1-4). Society of Exploration Geophysicists and The Chamber of Geophysical Engineers of Turkey.
   [Google Scholar]
7. SmithT.
   , Unsupervised neural networks-disruptive technology for seismic interpretation. Oil & Gas Journal, October 2010.
   [Google Scholar]