Estudo de algoritmos para o problema de otimização de vazão de poços de petróleo

• Autor(a) principal: Vasconcelos, João Olavo Baião de
• Data de Publicação: 2011
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Espírito Santo (riUfes)
• Texto Completo: http://repositorio.ufes.br/handle/10/6345
• topic: Continuous optimization; Derivative-free algorithms; Parallel algorithms; Optimization in petroleum industry; Petroleum well throughput; Otimização contínua; Otimização na indústria do petróleo; Algoritmos sem derivadas; Vazão de poços de petróleo; Ciência da Computação; Otimização matemática; Algoritmos; Algoritmos paralelos; Engenharia do petróleo; Poços de petróleo; 004

Petroleum Engineer activity is constantly enrolled on a series of optimization problems on many contexts, as, for instance, defining efficient and optimized projects on petroleum reserves development. However, there is an extreme difficulty on resolution of exploration and production (P&E) optimization problems, since they are often complex, with high degree of nonlinearity, presenting high uncertain number, and huge computational cost involved. Among them, there is the problem of determining the best throughput distribution among the wells of a petroleum production platform that achieves the biggest financial profitability of an E&P project, here named Petroleum Well Throughput Optimization Problem (PWTOP). In order to deal with PWTOP, some continuous optimization algorithms that deals with linearity restrictions present on the problem were studied, that are the Derivative Free Optimization (DFO), the Generating Set Search (GSS), and the Differential Evolution (DE). DFO is a sequential algorithm, whereas GSS and DE are parallel algorithms. Two case studies are also presented that represents synthetic petroleum fields. The results show how the studied algorithms behave on dealing with PWTOP for the two case studies, comparing experimental results obtained on optimized financial values, execution times and amount of objective function evaluation. Concludes, lastly, that, for the simplest case study, GSS had the best result, and for the most complex case study, more like real reservoirs, DE stood out.