AI-Driven Predictive Maintenance in the Oil and Gas Industry: A Synergy of Robotics and Digital Twins

Abstract This paper explores the integration of Artificial Intelligence (AI) and robotics in establishing predictive maintenance frameworks within the oil and gas sector. By leveraging real-time data from Industrial Internet of Things (IIoT) sensors and autonomous robotic inspections, companies can transition from reactive to proactive maintenance strategies. The study highlights the role of Digital Twins in simulating equipment health and forecasts the economic impact of reducing unplanned downtime through these integrated technologies.