Computational Intelligence Techniques and Phylogenetic Trees for Identification of Sedimentary Petrofacies

Camila M. Saporetti; Leonardo Goliatt; Leonardo C. de Oliveira; Egberto Pereira

doi:10.5753/eniac.2018.4437

Camila M. Saporetti UFJF
Leonardo Goliatt UFJF
Leonardo C. de Oliveira Petrobras
Egberto Pereira UERJ

DOI: https://doi.org/10.5753/eniac.2018.4437

Resumo

The heterogeneities are characterized by several sedimentary petro- facies. Petrofacies identification involves manual processes and time-consuming analyses. The study of the diagenesis has been encouraged by petroleum companies, in order to understand the distribution of porosity in sandstones. This work aims to analyze the use of clustering approaches to identify petrofacies and assist the analysis of petrographic data. In addition, this study introduced the use the phylogenetic analysis tools to understand the diagenetic process that occurred during sedimentary rock formation. The proposed methodology reaches similar results to those obtained by the conventional method of individualization while allows for reducing time and cost in the individualization task.

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