• • Individual impurity effects (H2O, H2S, O2, SO2, N2O, N2, H2, CH4) and operating parameters on corrosion mechanisms are basically clarified, but synergistic mechanisms of mixed gases remain unresolved, lacking quantitative description. This gap prevents accurate prediction under real multicomponent conditions, risking pipeline integrity and economic losses.
• • Current corrosion prediction models are limited in applicability to corrosion conditions, morphological matching, and comprehensiveness of factors. They cannot fully meet prediction needs, leading to either over-conservative designs or unexpected failures, with significant cost implications for CCUS projects.
• • Comprehensive mechanistic models are a feasible direction for accurate prediction, but numerical analysis of aqueous phase precipitation, water chemical reactions, electrochemical corrosion reactions, and product film growth still has multifaceted limitations. Accelerating development of these sub-models is critical for reliable prediction.
• • Experimental reliability is insufficient, particularly for precise metering and replenishment of corrosive media under low water content and multicomponent impurity synergy. This undermines the validation and calibration of prediction models, necessitating improved experimental methods to support accurate corrosion prediction.
• • Field application of prediction models remains challenging due to irrational model use and difficulty in accurately extracting field data. Understanding model parameter physical meanings, applicability boundaries, and ensuring reasonable input parameters are essential for practical deployment.