Sistema supervisório para um sistema de elevação por bombeio centrífugo submerso

Abstract

The proposal addressed here aims to build an interface that allows the monitoring of information from the BCS installed in the Artificial Elevation Laboratory (LEA) of the Technological and Industrial Training Center (CTAI) of the Federal University of Bahia. Aiming to monitor data relating to performance indicators, as well as the variables involved in the oil extraction process that have a direct or indirect impact on these indicators. This is done through the use of the Python programming language, which uses the Plotly library, which is a web application framework that allows interactive graphical visualizations of data along with the other advantages that Python itself provides. A guide for using the tool and details of the proposed solution will be presented, which consists of a graphical interface capable of displaying the input variables, outputs, performance indicators and the operating envelope of the BCS – LEA.