Desenvolvimento de um sistema de controle para poços de petróleo equipados com Gas-Lift contínuo

Abstract

It is in order to ensure the production of the well that electronic controllers have been developed for artificial oil lifting systems. It can be said that more than half of the industrial controllers in use today employ Proportional Integrative Derivative (PID) or modified PID control schemes. However, for complex problems, the application of conventional techniques are usually expensive and depend on mathematical approximations, such as the linearization of nonlinear problems, which can compromise the performance of these solutions. Therefore, when dealing with complex models, the use of fuzzy logic has been chosen, given that the main advantage of using fuzzy logic is due to its ability to deal with uncertainties, approximate reasoning, vague and ambiguous terms, which is not possible to do with classical logics. Due to changes in operating conditions, a system operating by Continuous Gas-Lift (CGL) needs constant monitoring. That said, the objective of this work is to develop a computational tool that, in order to increase the production flow, performs the monitoring and control of wells operating by CGL. This tool incorporates a PI-fuzzy controller and PID controller to carry out its activity. For validation purposes, a dynamic GLC simulator was used to assist the program developed in tests performed with field data in computationally simulated wells. Through the tests carried out, it can be highlighted that the results obtained for the simulated well 1 met the expectation, considering that there was an improvement in the flow rate of liquid produced and a reduction in the amount of injected gas.