using multidimensional scaling and kernel principal component analysis to interpret seismic...

Download Using multidimensional scaling and kernel principal component analysis to interpret seismic signatures of thin shaly-sand reservoirs Piyapa Dejtrakulwong1,

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Post on 08-Jan-2018

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Motivation Limitation in seismic resolvability Interpretations of the sub-resolution layers Goal: To investigate seismic signatures of thin shaly-sand reservoirs with statistical attributes multidimensional scaling (MDS) and kernel principal component analysis (KPCA)