In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.

In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.

In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.

In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.

In this series I will show the entire process of developing a model, performing simulations and the use of different control techniques for decision support in flood management systems.

The use of surrogate and data-driven models has the potential to decrease the computational effort of streamflow predictions in …

Flow forecasting and management are essential fields of study in hydrology to mitigate floods and droughts that can cause life or …

Operational forecasting and decision support systems for flood mitigation and the daily management of water resources require …

Real time measurements and development of sensor technology are research issues associated with robustness and safety during oil well …

O presente trabalho teve como objetivo implementar uma metodologia dinâmica de controle para rejeição de perturbação de carga denominada perda de circulação, durante a perfuração de poços de petróleo. A metodologia desenvolvida implementou um esquema de controle por reconfiguração (feedback-feedfoward) para controle da pressão anular de fundo, via manipulação da válvula choke. O comportamento da unidade de perfuração e da perturbação de carga (perda de circulação) foram modelados através do método de Sundaresan & Krishnaswamy (1977). Os parâmetros do controlador PI (Proporcional Integral) foram estimados através dos métodos de Ziegler-Nichols (1942) e Cohen-Coon (1953), sendo realizado ajuste fino em campo. Os parâmetros do controlador feedfoward foram estimados a partir da resposta em malha aberta à perturbação degrau na variável de carga e na variável manipulada, seguindo a metodologia de Seborg et al. (2011).