Energy, Petrochemicals
Revolutionizing Refinery Performance Through Predictive AI
This solution uses AI to manage and optimize refinery operations, focusing on yield optimization, catalyst life, and energy efficiency.
Key Use Cases
Distillation column performance prediction
Energy consumption forecasting
AI-enabled alarm management
Feedstock blend optimization
Key Features
- Neural network-based optimization engine
- Closed-loop decision systems
- Advanced process analytics dashboards
- Safety incident prevention using AI
Technologies Used
- Convolutional Neural Networks
- Bayesian Optimization
- Process Control Integration
- Industry 4.0 systems
Strategic Business Value
Increase yield by 6–10%
Cut downtime with AI-driven maintenance
Reduce emissions by up to 20%
Industries
- Refining
- Petrochemicals
- Energy Transition
Global Impact
Accelerates decarbonization in legacy hydrocarbon systems with smart retrofits.