Uma aplicação da apredizagem por reforço na otimização da produção em um campo de petróleo

• Autor(a) principal: Oliveira, Amanda Gondim de
• Data de Publicação: 2010
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da UFRN
• Texto Completo: https://repositorio.ufrn.br/jspui/handle/123456789/12907
• topic: Aprendizado por reforço; Simulação matemática de reservatórios; Otimização da produção de petróleo; Reinforcement learning; Reservoir simulator; Optimization of oil production; CNPQ::OUTROS::CIENCIAS

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