%0 Journal Article
%T Estimation of mechanical properties of rock using arti£¿cial intelligence
%A C¨¦sar Augusto Ochoa
%A Henry Arguello Fuentes
%A Jenny Mabel Carvajal Jim¨¦nez
%A Laura Viviana Galvis
%A Zuly Himelda Calder¨®n Carrillo
%J -
%D 2011
%X This paper discusses how two arti£¿cial intelligence techniques were combined, neural networks and genetic algorithms for the development of a computational tool used for the estimation of mechanical properties such as tensile strength, uniaxial compressive strength and triaxial compressive strength in sandstones, from petrophysical properties using data from tests of Rock Mechanics Laboratory of the Colombian Petroleum Institute - Ecopetrol SA as training data, to improve the design of non-destructive testing with some degree of con£¿dence and resulting in cost reduction
%K arti£¿cial intelligence
%K arti£¿cial neural network
%K genetic algorithm
%K petrophysical properties
%K mechanical properties.
%U http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/430