Made available in DSpace on 2014-12-17T14:08:36Z (GMT). No. of bitstreams: 1 AmandaGO.pdf: 1269225 bytes, checksum: bb3d37e917eb9a6a37d5196f82512218 (MD5) Previous issue date: 2010-01-27 / The objective of reservoir engineering is to manage fields of oil production in order to maximize the production of hydrocarbons according to economic and physical restrictions. The deciding of a production strategy is a complex activity involving several variables in the process. Thus, a smart system, which assists in the optimization of the options for developing of the field, is very useful in day-to-day of reservoir engineers. This paper proposes the development of an intelligent system to aid decision making, regarding the optimization of strategies of production in oil fields. The intelligence of this system will be implemented through the use of the technique of reinforcement learning, which is presented as a powerful tool in problems of multi-stage decision. The proposed system will allow the specialist to obtain, in time, a great alternative (or near-optimal) for the development of an oil field known / O objetivo da engenharia de reservat?rios ? o de gerenciar campos de produ??o de petr?leo de forma a maximizar a produ??o dos hidrocarbonetos obedecendo a restri??es f?sicas e econ?micas existentes. A defini??o de estrat?gias de produ??o ? uma atividade complexa por envolver diversas vari?veis do processo. Deste modo, um sistema inteligente, que auxilie na otimiza??o das alternativas de desenvolvimento do campo, torna-se bastante ?til no dia-a-dia dos engenheiros de reservat?rios. Este trabalho prop?e o estudo preliminar de um sistema inteligente de aux?lio ? tomadas de decis?es, no que diz respeito ? otimiza??o de estrat?gias de produ??o em campos de petr?leo. A intelig?ncia desse sistema ser? implementada por meio do uso da t?cnica de aprendizado por refor?o, a qual se apresenta como uma poderosa ferramenta em problemas de decis?o multi-est?gios. O sistema estudado visa permitir que o especialista obtenha, em tempo h?bil, a alternativa ?tima (ou quase-?tima) para o desenvolvimento de um campo de petr?leo conhecido