Digital Twins & AI in Refining Operations

Explore the latest innovations in digital twins and AI applications in refining. This course covers modeling, predictive maintenance, real-time simulation, and data-driven optimization strategies for enhanced operational performance.

• Understand the architecture of digital twin technology.
• Apply AI models to simulate and optimize refinery operations.
• Use data analytics for predictive maintenance and decision-making.
• Integrate AI tools into control systems and dashboards.
• Evaluate ROI and implementation strategies for digital transformation.

• Introduction to Digital Twins and Smart Plants
• Components and Data Flow Architecture
• Machine Learning Models in Refining
• Predictive Maintenance and Anomaly Detection
• Real-Time Simulation and Visualization
• AI for Process Control and Optimization
• Case Studies and Implementation Roadmaps

Digital transformation leads, control engineers, plant IT teams, and operations managers.

Hands-on labs, live simulations, model demos, and case analysis.

Participants will be able to design and deploy digital twin and AI tools to optimize refinery systems.