Inside SOCAR Carbamide’s Smart Chemical Plant
Baku, May 13, AZERTAC
How AI, Robotics and Predictive Systems Are Powering the Future of Industrial Manufacturing
At SOCAR Carbamide, we have long relied on advanced automation and process control systems to operate complex chemical production processes. But in today’s industrial landscape, automation alone is no longer enough.
Over the past three years, we have advanced significantly. SOCAR has established the Caspian AI Institute to layer in-house-developed artificial intelligence models over existing automation technology and to ensure the continuous upskilling of our existing workforce. Our AI models analyze thousands of real-time signals from across the plant, learn from process behavior, and provide dynamic, self-improving recommendations. Together, this hybrid system of APC + AI enables a level of optimization, precision, and responsiveness that was previously unachievable.
The result is not just more efficient operations—it’s a smarter plant that can predict, adapt, and evolve in real time.
AI-Driven Plant Optimization
Our AI-based near-autonomous control system now guides decision-making across the ammonia and urea units. It processes production variables to help operators significantly improve plant performance variability and minimize energy consumption.
As our AI engines sit atop a robust automation foundation built on Advanced Process Control (APC), this dual-layer approach is delivering measurable performance gains across the plant.
In 2024 alone, the combined impact was:
- $13 million in additional value
- 7 million m³ natural gas saved
- 1.5 million kWh electricity saved
- 70,000 tons of water conserved
SmartOps 360: Technology for the Frontline
Digital transformation is most impactful when it reaches frontline operations. Our “SmartOps 360” initiative enhances plant-floor efficiency and safety:
- Autonomous inspections performed by Boston Dynamics’ SPOT robot, collecting gauge data, detecting gas leakages, and providing real-time HSE monitoring
- SOCAR’s LLM maintenance expert, trained on over 10 million pages of technical manuals, provides support for root cause analysis and guides operators during maintenance routines
- Smart glasses with AR capabilities offer remote technical support and facilitate maintenance
- Drones enhance safety and increase the frequency of monitoring and inspection activities
- Simulation-based operator training accelerates onboarding and continuous skill development
These tools reduce downtime, enhance safety, and empower operators with real-time, contextual insights.
Predictive Maintenance at Scale
We have implemented predictive maintenance models on the plant’s most critical equipment. These smart-signal models continuously analyze vibration, temperature, pressure, and flow data, identifying early indicators of potential equipment failure.
The system is fully automated and is integrated with our maintenance workflows—automatically generating work orders and supporting both preventive and condition-based maintenance strategies.
Energy and Emissions Optimization
Efficiency and sustainability are core to our transformation. Our machine-learning-powered Energy Network Optimization Model (ENOM) simulates the plant’s energy and steam network in real time, delivering:
- Real-time steam balance calculations
- Equipment efficiency forecasting
- Boiler load optimization
- Scenario-based optimization suggestions
Additionally, we have developed:
- A real-time GHG emissions monitoring system utilizing gas detectors, 360 degrees cameras and image recognition algorithms
- AI-powered gas leakage detection models to facilitate early intervention
This digital layer enhances visibility, improves resource utilization, and supports compliance with environmental targets.
Building a Digital Culture
This transformation is as much about people as it is about technology. Through our Digital Academy, 20% of our workforce has been certified in digital skills, and over 40 new AI use cases have been identified via cross-functional ideation sessions.
Agile delivery squads—combining business, digital, and engineering talent—have been established in partnership with the Caspian AI Institute to continuously develop and scale digital solutions across SOCAR’s operations.
Conclusion
SOCAR Carbamide’s digital transformation demonstrates how the chemical industry can evolve beyond automation toward adaptive, intelligent operations. By integrating robust APC systems with proprietary AI, robotics, and predictive maintenance platforms, we have established a blueprint for next-generation manufacturing—one that is resilient, resource-efficient, and future-ready.
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