Pipeline safety
Offshore Simulation Pressure Pipeline Corrosion Monitoring Solution
1、Overview
This solution transitions from traditional fixed-point inspections to in-depth mining and analysis of thickness monitoring data. It standardizes pipeline operation and maintenance through unified data management, digitizes pipeline status monitoring, and dynamically tracks real-time corrosion data. AI-driven reports describe pipeline health degradation trends, supporting corrosion maintenance decisions to address safety risks promptly and ensure stable production.
2、Implementation Approach
- Build corrosion simulation models using corrosion (thickness) monitoring data and Physics-Informed Neural Networks (PINN).
- Key steps: data preprocessing, model construction, training/validation, application integration, and iterative optimization.
3、Objectives
Validate AI models with historical monitoring data and embed complex mechanisms into neural networks to achieve:
- AI-based health analysis models for corrosion prediction.
- Pressure pipeline inventory management and safety indicator tracking.
- Customized pipeline risk assessment applications.
