Case Studies

Challenge

Optimize amine absorption tower performance for CO₂ capture while providing immersive visualization for engineering analysis and stakeholder communication.

Solution

Developed a steady-state digital twin integrated with Q-Insight analytics and Extended Reality visualization, enabling detailed process understanding and interactive 3D exploration of the absorption column.

Projected Results

• Optimized solvent circulation rates through steady-state process analysis
• Enhanced engineering insights via Q-Insight data analytics
• Immersive Extended Reality visualization for training and design review

Challenge

Model the complete carbon capture plant including absorber, stripper, heat exchangers, and compression systems to optimize plant-wide operations and train operators effectively.

Solution

Built a comprehensive steady-state digital twin of the entire CCU process train with Data Discovery for pattern analysis, Q-Insight for performance monitoring, and OTS for operator training scenarios.

Projected Results

• Plant-wide efficiency optimization through integrated steady-state modeling
• Actionable insights from Data Discovery and Q-Insight analytics
• Enhanced operator readiness through OTS-based training simulations

Challenge

Capture both steady-state performance and dynamic transient behavior of the gas sweetening unit to ensure safe operations during startups, shutdowns, and load changes.

Solution

Deployed an integrated steady-state and dynamic digital twin with OTS for operator training on transient scenarios and Q-Insight for real-time performance monitoring and analysis.

Projected Results

• Comprehensive process understanding through combined steady-state and dynamic modeling
• Reduced startup time and improved safety through OTS-based training
• Real-time operational insights powered by Q-Insight analytics