Enhancing Probe‐Based Corrosion Monitoring Accuracy in Undulating Pipelines: Quantifying Effectiveness Based on Flow‐Induced Mechanisms and a Correction Model

High water‐cut crude pipelines in undulating terrain face severe corrosion risks, but corrosion probe data often misrepresents actual pipe wall conditions. This study employed laboratory flow loop experiments, corrosion product analysis, and CFD modeling to quantitatively evaluate probe effectiveness. Results show distinct corrosion rate differences between upward/downward pipe walls and internal probes, driven by localized variations in flow velocity, wall shear stress, and turbulent kinetic energy. Based on these mechanisms, a novel correction model was developed specifically for probe monitoring in undulating pipelines. Field validation confirmed the model significantly enhances monitoring accuracy to over 95%, resolving prior unreliability issues. This provides a robust framework and practical tool for improved corrosion rate assessment, critically supporting pipeline integrity management in late‐stage oil fields.