Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells

Use of neural networks for the estimation of nickel content in lateritic bark with radioactive methods of wells

The aim of the present work is a preliminary set of groups that make up the Crust Lateritico Niqueliferas Cobaltiferas of Punta Gorda Reservoir in Cuba by neural networks applied to a sef of radioactive well logs according to a predetermined geolical classification . It also undertakes assesment of...

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Detalles Bibliográficos
Autores principales: Guerra, Marcial, Ruíz, Jorge, Ebecken, Nelson, Landau, Luiz, Silva, Josias
Formato: Online
Lenguaje:spa
Publicado: Universidad Pedagógica y Tecnológica de Colombia - UPTC 2014
Materias:
neural network
welllog
lateritas
redes neuronales
geofísica de pozos
Acceso en línea:https://revistas.uptc.edu.co/index.php/ingenieria_sogamoso/article/view/3440
Descripción
Sumario:The aim of the present work is a preliminary set of groups that make up the Crust Lateritico Niqueliferas Cobaltiferas of Punta Gorda Reservoir in Cuba by neural networks applied to a sef of radioactive well logs according to a predetermined geolical classification . It also undertakes assesment of nickel content in each of the defined groups also implementing neural networks.