How It Works
From Pipeline Data to
Intelligent Decisions
H2-PIS transforms existing pipeline information into actionable engineering intelligence through CFD simulation, Digital Twin technology, and Artificial Intelligence.
The result:
A complete decision-support system that helps operators evaluate hydrogen readiness, predict risks, optimize performance, and improve pipeline integrity before implementation.
The H2-PIS Workflow
— Five Technologies. One Intelligent System.
Asset Data Collection
- Asset Data
- Material Data
- Historical Records
- Operating Conditions
CFD Simulation
- Hydrogen Flow
- Pressure Drop
- Velocity Profiles
- Turbulence Behavior
Digital Twin
- Virtual Asset
- Real-time Monitoring
- Forecasting
- Scenario Testing
AI Risk Analysis
- Integrity Risks
- Failure Probability
- Compatibility Issues
- Performance Trends
Decision Support
- Readiness Score
- Recommendations
- Mitigation Plans
- Optimization Actions
From Data to Decision
- Raw Data
- Inspection Records
- Pressure Data
- Material Data
- Operating Data
- Readiness Assessment
- Risk Index
- Recommendations
- Optimization Plan
— What the Operator Receives
Hydrogen Readiness Score
Pipeline is suitable for hydrogen transportation with recommended blend.
Integrity Risk Index
Medium Risk
Some sections require attention and mitigation measures.
Digital Twin Dashboard
Real-time visibility into pipeline behavior and performance.
Actionable Recommendations
- Optimize operating pressure
- Implement corrosion mitigation
- Monitor critical locations
- Review material compatibility
Clear steps to improve safety, reliability, and performance.
