Abstract
The ongoing adoption of Industry 4.0 in the oil and gas sector, especially within drilling operations, has significantly accelerated the deployment of digital technologies at the edge. With this rapid growth, there is a pressing need for an effective framework to proactively monitor edge deployments and enhance operational resilience. In 2023, an advanced monitoring system featuring Elastic Fleet Management was introduced to address this need, combining real-time performance tracking with incident alerting capabilities integrated with tools such as PagerDuty. This approach established new benchmarks for reducing nonproductive time (NPT) and improving service delivery by providing site reliability engineering (SRE) teams with critical tools to maintain high standards amid continuous expansion.
Building on this foundation, we propose an artificial intelligence (AI)-powered framework that goes beyond traditional observability. Leveraging autonomous capabilities, the system will intelligently analyze a wide range of logs-including software, system, and firewall activities-enabling proactive issue detection and self-management. The next phase involves the deployment of generative AI (GenAI) enhancements, capable of not only identifying anomalies but also autonomously resolving detected issues without manual SRE intervention. This evolution marks a shift toward fully self-managing operations, setting the stage for a transformative leap in operational efficiency, safety, and service quality across geographically distributed drilling sites.
