A study on the dynamic response of deepwater top tension riser systems and LSTM model prediction

This study focuses on the nonlinear coupled dynamic analysis of deepwater top Tension riser systems. Using OrcaFlex software, we developed a model of a dual-casing top Tension riser equipped with centralizers. Sensitivity analyses of key parameters, such as centralizer height and top tension factor, revealed the coupling mechanisms and dynamic response characteristics of the dual-casing top-Tension riser. Additionally, the study examined variations in riser displacement amplitudes and pipe-to-pipe contact forces at different water depths. The model and methodologies proposed in this study provide crucial theoretical and practical guidance for the design and operation of deepwater top-Tension riser systems. At the same time, the LSTM neural network model was used to train a dynamic response model of a deep-water top Tension riser systems.