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Corrosion remains a life-cycle integrity threat to onshore and offshore oilfield assets because water wetting, acid gases, oxygen ingress, deposits, microorganisms and hydrodynamic forces interact across changing operating conditions. This critical review integrates established corrosion chemistry and control with recent developments in networked sensing, distributed fibre-optic monitoring, robotics, interpretable machine learning, digital twins, self-healing coatings and advanced repair. The synthesis distinguishes evidence generated by laboratory screening, field monitoring, inspection and engineering assessment. Recent literature shows that connected sensing and data-driven models can improve spatial coverage and risk prioritisation, but field transfer remains constrained by sparse defect labels, uncertain sensor location, changing multiphase flow, limited external validation and the tendency to infer localised damage from average corrosion rates. The review proposes a threat-led framework that begins with corrosion circuits and credible mechanisms, qualifies controls under representative chemistry and flow, validates new technologies against independent wall-thickness or defect measurements, and links uncertainty to auditable intervention decisions. Onshore and offshore assets share electrochemical mechanisms but differ substantially in access, communications, environmental loading and repair logistics. The principal conclusion is that emerging technology creates value only when it strengthens the evidence chain from exposure and damage mechanism to verified defect, fitness-for-service assessment and intervention. Priority research should focus on time-separated field validation, uncertainty-aware sensor fusion, transferability between assets and prospective comparison with existing integrity programmes.
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Nduwuba George Obinna (2026) studied this question.
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