Estimation of mechanical properties of rock using artificial intelligence

This article presents the way two artificial intelligence techniques, neural networks and genetic algorithms were combined, for the development of a computational tool used to estimate mechanical properties such as tensile strength, uniaxial compression resistance and resistance to triaxial compress...

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Autores:

Galvis, Laura Viviana
Augusto Ochoa, César
Arguello Fuentes, Henry
Carvajal Jiménez, Jenny Mabel
Calderón Carrillo, Zuly Himelda

Tipo de recurso:

Fecha de publicación:

2011

Institución:

Universidad EAFIT

Repositorio:

Repositorio EAFIT

Idioma:

spa

OAI Identifier:

oai:repository.eafit.edu.co:10784/14465

Acceso en línea:

http://hdl.handle.net/10784/14465

Palabra clave:

Artificial Intelligence
Artificial Neural Network
Genetic Algorithm
Petrophysical Properties
Mechanical Properties
Inteligencia Artificial
Red Neuronal Artificial
Algoritmo Genético
Propiedades Petrofísicas
Propiedades Mecánicas

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