An Autonomous and Decentralized IoT Control Framework for Real-Time Management of Enhanced Oil Recovery Systems

Abstract

Managing Enhanced Oil Recovery (EOR) operations must be well planned, with detailed data inputs and active monitoring to improve production and avoid risks. In these environments, traditional monitoring and control systems do not handle the unique, spread-out structures of today’s oilfields well. This framework was created to make autonomous and decentralized decisions in the control of EOR systems. The architecture uses IoT sensors, edge devices and intelligent agents to support local processing, reliable communication between devices and smart changes in the EOR system. Distributing control software to devices at the edge with up-to-date information allows the framework to tightly control activities, strengthen its ability to resist disruption and handle a rising number of distributed fields. The framework has been shown to maintain precise control, save energy and adapt rapidly to temporary changes in reservoir and equipment conditions via experimental validation. It provides a new way to handle EOR operations, using artificial intelligence spread out across systems