Oil and Gas companies are maximizing capabilities using AI in the area of predictive maintenance to create data-driven insights leading towards higher operational efficiencies and safety. AI-driven predictive maintenance means analyzing data collected from various sensors and equipment to predict when a machinery fault might occur. And this approach helps cut back on unanticipated downtimes and drops maintenance costs to increase the life cycle of key assets. AI driven systems with predictive analytics capabilities analyze equipment behavior for patterns, anomalies using AI techniques like machine learning algorithms, deep learning etc. Those methods enable detecting issues in early stages, so intervention can be done before the failure. The accuracy of learning models is enhanced by AI collaborating with IoT devices to provide real-time data and continuous monitoring.
Ganesh Shankar Gowekar (Sat,) studied this question.