Deltaic systems with fluvial dominion interpretation using artificial neural networks

  • Authors:

  • Luis Bastidas;Zonia Palacios;Francklin Rivas

  • Affiliations:

  • Universidad de Los Andes, Escuela de Ingeniería Geológica, Mérida, Venezuela;Universidad de Los Andes, Grupo de Investigación de Ciencias de la Tierra "TERRA", Mérida, Venezuela;Universidad de Los Andes, Laboratorio de Sistemas Inteligentes, Mérida, Venezuela

  • Venue:
  • ICS'08 Proceedings of the 12th WSEAS international conference on Systems
  • Year:
  • 2008

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Abstract

In this work, it will be presented an Artificial Neural Networks application for identifying the appropriate deltaic systems with fluvial dominion using Petrology characteristics, physical and paleontological sedimentologics information. The artificial neural network was trained and tested using real cases data and it was found very accurate results for the deltaic systems interpretation obtaining an important computational tool for professionals that work in geology area.