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PROCESSING OF PETROPHYSICAL PARAMETERS USING THE KOHONEN MAP: APPLICATION TO THE STUDY OF THE TRIASSIC RESERVOIR OF THE MESKALA FIELDS (BASIN OF ESSAOUIRA, MOROCCO)

Journal: International Journal of Advanced Research in Engineering and Technology (IJARET) (Vol.11, No. 08)

Publication Date:

Authors : ;

Page : 63-70

Keywords : Meskala reservoir; SOM; K-means; Clusters; electrofacies.;

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Abstract

The meskala reservoir data analysis approach consists of three phases. The first phase is to form a self-organizing Korhonen map (SOM) based on this data. This involves several choices, such as the method of normalization and the training parameters. However, these are not discussed in this article but were steps in the structuring of the map. The second phase is the regrouping of the SOM in the form of clusters and the last phase is the interpretation of the clusters in the form of electrofacies.

Last modified: 2021-02-20 13:56:53