2026
White Paper
AI‑Driven Erosion Modeling: Bridging the Gap Between Numerical Simulation and Experimental Reality
Erosion caused by sand particles in multiphase flows is a critical issue in oil and gas systems. To accurately predict this erosion, engineers can rely on a fusion modeling approach to bridge the gap between numerical predictions and experimental data. The methodology enhances prediction accuracy, enabling better:
- Design optimization
- Operational planning
- Preventive maintenance
Download the white paper to learn how advanced physics and AI boost prediction accuracy and transform erosion management.
