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

MC de Matos, PL Osorio, PR Johann - Geophysics, 2007 - library.seg.org
Unsupervised seismic facies analysis provides an effective way to estimate reservoir
properties by combining different seismic attributes through pattern recognition algorithms …

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

MC de Matos, PLM Osorio, PRS Johann - GEOPHYSICS, 2007 - researchgate.net
Unsupervised seismic facies analysis provides an effective way to estimate reservoir
properties by combining different seismic attributes through pattern recognition algorithms …

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

MC de Matos, PLM Osorio, PRS Johann - GEOPHYSICS, 2007 - ime.unicamp.br
Unsupervised seismic facies analysis provides an effective way to estimate reservoir
properties by combining different seismic attributes through pattern recognition algorithms …

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

MC de Matos, PLM Osorio, PRS Johann - GEOPHYSICS, 2007 - scholar.archive.org
Unsupervised seismic facies analysis provides an effective way to estimate reservoir
properties by combining different seismic attributes through pattern recognition algorithms …

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

MC de Matos, PLM Osorio, PRS Johann - GEOPHYSICS, 2007 - academia.edu
Unsupervised seismic facies analysis provides an effective way to estimate reservoir
properties by combining different seismic attributes through pattern recognition algorithms …

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

MC de Matos, PL Osorio, PR Johann - GEOPHYSICS, 2007 - cir.nii.ac.jp
抄録< jats: p> Unsupervised seismic facies analysis provides an effective way to estimate
reservoir properties by combining different seismic attributes through pattern recognition …

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

MLC de Matos, PLOM Osorio, PRS Johann - Geophysics, 2007 - ui.adsabs.harvard.edu
Unsupervised seismic facies analysis provides an effective way to estimate reservoir
properties by combining different seismic attributes through pattern recognition algorithms …

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

MC de Matos, PLM Osorio, PRS Johann - Geophysics, 2007 - pubs.geoscienceworld.org
Unsupervised seismic facies analysis provides an effective way to estimate reservoir
properties by combining different seismic attributes through pattern recognition algorithms …

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

MC de Matos, PLM Osorio, PRS Johann - GEOPHYSICS, 2007 - Citeseer
Unsupervised seismic facies analysis provides an effective way to estimate reservoir
properties by combining different seismic attributes through pattern recognition algorithms …

[引用][C] Unsupervised seismic facies analysis using wavelet transform and self-organizing maps

MC DE MATOS, P LEO MANASSI OSORIO… - …, 2007 - pascal-francis.inist.fr
Unsupervised seismic facies analysis using wavelet transform and self-organizing maps
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