Visualization of operation parameters and remote management of oil production through the implementation of SCADA system

The authors investigated the system for oil production using piston pumps, which represents a significant part of the global industry, relying on a mechanical exploitation method that requires optimization to reduce energy consumption and increase efficiency. The paper analyzes the application of SCADA (Supervisory Control and Data Acquisition) systems, which enable monitoring and visualization of key operational parameters, thereby creating predictive maintenance that can significantly improve oil production performance. Considering various variables, such as specific well conditions and reservoir properties, the implementation of modern technologies, including IoT, allows for real-time data integration, contributing to process optimization. Key elements of the SCADA system include sensors, programmable logic controllers (PLCs), and supervisory computers that facilitate data collection, processing, and analysis. Through the use of the AVEVA platform, the visualization of collected data enables specialists to respond to emergencies, reducing downtime and increasing productivity. This intelligent management system allows for analysis and predictive action, which is crucial for improving efficiency and reducing maintenance costs.