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Abstract
This paper explores the integration of Artificial Intelligence (AI) in the design of offshore platforms, emphasizing the optimization of structural analysis, material selection, and safety assessments. It discusses the application of AI-driven tools such as machine learning, generative design, and predictive analytics to enhance design accuracy, reduce lead times, and improve risk management. The study includes real-world use cases and emerging applications, such as structural optimization, fatigue prediction, and automation in design workflows. The aim is to provide a roadmap for the adoption of AI in offshore engineering, leading to safer, smarter, and more sustainable platform designs.
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