Artificial Lift on the Edge

Artificial lift systems in the oil and gas industry have long relied on Supervisory Control and Data Acquisition (SCADA) technology for monitoring and control. However, as the digital landscape continues to evolve, artificial lift systems must adapt to more dynamic and autonomous operations. In particular, leveraging cloud-native edge computing, microservices, and the Industrial Internet of Things (IIoT) offers the potential to enhance the real-time responsiveness and optimization of artificial lift systems. This paper discusses the transition from traditional SCADA systems to edge computing-driven architectures in artificial lift applications, highlighting the capabilities, challenges, and future potential of this technological shift.