Abu Dhabi National Oil Company or ADNOC , working in partnership with technology leader SLB, has fully deployed its artificial intelligence enabled Real Time Operations Centre platform across its fleet of more than 120 rigs, establishing a centralized infrastructure to monitor, analyze, and optimize drilling operations across its onshore and offshore assets.
The unified platform replaces multiple legacy software tools and slashes manual engineering effort by 30 to 40 percent, allowing specialized technical teams to manage two to three times more rigs simultaneously without sacrificing operational oversight.
For regional energy markets, oilfield service providers, and technology vendors operating across key energy hubs like Dubai, Abu Dhabi, and Singapore, the fleet-wide deployment signals a structural shift toward AI-driven upstream operations. The adoption of enterprise-scale automation by one of the world’s largest state oil producers is expected to accelerate digital transformation benchmarks and pressure competing regional operators to modernize legacy field infrastructure.
Automated Dashboards and AI Insights Accelerate Incident Prevention
By consolidating vast streams of live drilling data into automated dashboards and AI-generated performance insights, the platform turns complex telemetry into immediate operational decisions, compressing reporting cycles that previously required several days into just a few hours.
Predictive algorithms within the system continuously analyze real-time rig parameters to detect mechanical anomalies before critical failures occur. This proactive monitoring capability reduces emergency incident response times by 4 to 12 hours and prevents between one and two days of costly rig downtime per incident.
“The Real-Time Operations Centre creates value across ADNOC’s drilling operations every minute by embedding AI into the heart of our drilling operations, helping our teams make faster, smarter decisions at scale. Built securely here in the UAE, it is further proof that ADNOC is moving from AI ambition to real-world impact as we become the world’s most AI-enabled energy company,” said Musabbeh Al Kaabi, ADNOC Upstream CEO.
The operational efficiencies generated across both onshore and offshore concessions directly support ADNOC’s broader strategy to maximize asset value and lower the carbon intensity of its extraction activities through advanced digital management.
Integration with SLB DrillOps Framework Lays Foundation for Autonomous Operations
The system architecture is powered by SLB’s DrillOps intelligent well delivery platform, bringing live data streams from disparate field assets into a single collaborative environment.
The digital framework gives executive management, asset teams, and field engineers a synchronized, real-time picture of fleet-wide performance. Tasks that historically demanded a full day of manual data processing and technical review are now completed within minutes, accelerating routine workflow speeds across all active concessions.
“DrillOps transforms real-time drilling data into operational intelligence that helps teams make faster, more informed decisions. Deployed within ADNOC’s sovereign cloud environment, the technology provides the scalable digital foundation for AI-enabled workflows across one of the industry’s largest rig fleets and supports the continued progression toward more autonomous operations,” said Rakesh Jaggi, President, Digital, SLB.
The integration allows operators at ADNOC Onshore and ADNOC Offshore to execute rapid adjustments, optimize rate of penetration, and minimize downhole risks across complex drilling profiles.
Sovereign Cloud Hosting Ensures Data Security and Regional Digital Independence
Engineered and implemented within the United Arab Emirates, the platform is hosted entirely on ADNOC’s domestic sovereign cloud infrastructure, ensuring that sensitive operational data and core intellectual property remain strictly within national borders.
By maintaining absolute regulatory and physical control over sensitive telemetry under UAE law, the state energy firm reinforces its cyber resilience and strategic autonomy against global supply chain vulnerabilities. The secure data enclave establishes a scalable, trusted environment as the company continues integrating machine learning models deeper into its core upstream workflows.
Looking ahead, the successful deployment across 120 rigs serves as the digital backbone for ADNOC’s long-term autonomous field program. As regional energy producers compete for efficiency gains, the integration of real-time AI analytics into heavy industrial workflows establishes a new benchmark for capital efficiency, risk mitigation, and digital sovereignty in global energy production.
