Proposta de modelo matemático para o problema de roteamento de sondas de intervenção a poços de petróleo terrestres revelados dinamicamente com período de atendimento viável

• Autor(a) principal: Silva, Flavio Tongo da
• Data de Publicação: 2016
• 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/10/8471
• topic: Workover rigs; Dynamic; Multi-period optimization; Sondas de intervenção; Dinâmico; Otimização multiperíodo; Eficiência energética; Engenharia/Tecnologia/Gestão; Modelos matemáticos; Poços de petróleo; 620.9

During the production phase in onshore oil wells one of the most important and expensive activities is the use of Intervention probes. The operation of each of these wells occurs most often in much climatic conditions and has intemperes production profile with wide variation depending on the geology, location and how it is developed. These characteristics lead throughout the productive life of the well to the need for maintenance interventions named as workover, which are essential to maintain production or even improve productivity when correcting failure which typically occur in the equipment of the wells. As the intervention probes are expensive equipment, and therefore a lesser amount compared to the amount of land wells that require maintenance work, is the generation of rows of wells waiting for service. This leads to the need to generate service to different wells routes with the few existing probes, challenge known as Intervention probes Routing Problem (PRSI). In the literature, it appears that authors proposed models and solution methods for static PRSI, ie that seek to minimize the total loss of production, not considering the possibility of new information relevant to the routing be revealed over the planning horizon . Thus the models for PRSI, in the literature, one should have full knowledge of all the wells that can be prevented, and their information before the start of the planning horizon. Thus, the aim of this work was to study and propose a mathematical model with dynamic approach to the PRSI that minimizes the total loss of production of the wells revealed over a planning horizon. The model was linearized to run the CPLEX solver, using techniques of Linear Programming Mixed Integer, and computational results were obtained considering a hypothetical instance in order to approach the real operational context problem model contemplate dynamic characteristics of the problem and time to meet. The results of this research show that the proposed model approaches the PRSI operating context of the problem, which impacts the process of defining the routes and scheduling of calls.