Terminal de consulta web

Machine learning petroelastic facies classification in a complex carbonate reservoir from Santos Basin, Brazil

Machine learning petroelastic facies classification in a complex carbonate reservoir from Santos Basin, Brazil

H. Santana, E. Leite, J. Oliveira, N. Mattos

ARTIGO

Inglês

Agradecimentos: This research was carried out in association with the ongoing R&D project registered as ANP nº 21575-6, "Análise Integrada de Multi-Escala de Rochas Carbonáticas do Pré-Sal para Caracterização e Predição de Propriedades de Reservatórios" (Unicamp/Shell Brasil/ANP), sponsored by Shell... Ver mais

Este artigo foi apresentado no evento 84th EAGE Annual Conference & Exhibition, 2023

Abstract: Understanding the distribution of rock properties in reservoir models is fundamental for planning hydrocarbon exploration and production. The objective of this study is to obtain three-dimensional distribution models of petroelastic facies in a complex carbonate reservoir in the Santos... Ver mais

Fechado

Machine learning petroelastic facies classification in a complex carbonate reservoir from Santos Basin, Brazil

H. Santana, E. Leite, J. Oliveira, N. Mattos

										

Machine learning petroelastic facies classification in a complex carbonate reservoir from Santos Basin, Brazil

H. Santana, E. Leite, J. Oliveira, N. Mattos

    Fontes

    Proceedings of the 84th EAGE Annual Conference & Exhibition - Fonte avulsa)

    Bunnik : European Association of Geoscientists and Engineers, 2023.

    v. 2023, p. 1-5