Digital twin technology has emerged as a promising approach, gaining significant attention from both academia and industry in offshore engineering in recent years. Advancements in digital twin applications for offshore structures have largely concentrated on the development of data assimilation techniques to enable the physical-to-virtual connection. These techniques aim to integrate monitoring data from physical structures with computational models, such as finite element models, to facilitate efficient, real-time, and holistic monitoring. However, limited progress has been made in addressing virtual-to-physical feedback [1]. This work presents a framework for utilizing digital twin-based virtual monitoring data to inform risk-based structural integrity management, including its application in fatigue load updates, integration with probabilistic structural integrity analysis, and decision-making for inspection optimisation. Finally, recommendations for future research to further improve the use of digital twin in offshore structures are discussed.