Experimental modelling of a top-tensioned riser for vibration-based damage detection

Сучасні Підходи До Забезпечення Безпеки Під Час Автоматизованих Швартових Операцій

“…1. Технологічний рівень: Успішність автоматизованих швартових систем залежить від технологічного рівня системи, включаючи якість сенсорів, точність алгоритмів керування та наявність передових роботизованих пристроїв [14].…”

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

“…Zeng et al [1] developed a dynamic analysis model for gas hydrate production risers, incorporating phase change in hydrate flow and marine loads, validated by experimental and field data.Yang et al [2] applied stochastic wave theory for time-domain simulation of random wave spectra, assessing riser dynamics in extreme sea conditions.Cao et al [3] used ABAQUS for modal simulation of top-tension production risers, focusing on the impact of element count on natural frequencies.Chen et al [4] explored the effects of tensioners and production trees on risers, proposing a new simulation method for tensioners.Yuan et al [5] predicted the VIV response of a 90m TTR with dual-frequency excitation, updating structural stiffness based on real-time tension.Yan et al [6] reviewed LSTM neural network use for predicting dynamic responses of umbilical cables in marine environments, emphasizing its accuracy and efficiency. Yin et al [7] proposed a novel machine learning model utilizing multisource data from pilot-scale rig experiments for early detection and risk classification of gas kicks in deepwater drilling, significantly enhancing accuracy and reducing detection time delays.Bayik B et al [8] presents a pioneering experimental approach to detect damage in top-tensioned risers, using a laboratory-scale model to realistically simulate and analyze corrosion-induced damage with vibration-based methods. Anne M et al [9] proposed a control system for tension leg platform risers, aiming to mitigate collision risks due to environmental forces and hydrodynamic interactions in deep waters through simulation-based strategy development.…”

Subsea jumper damage detection based on fractal analysis and modal characteristics

“…For instance, Zhou et al [20] used transfer matrix techniques to extract patterns and detect damage in marine risers, then identified cracks incurred during riser deployment and retrieval [21]. In other work, Bayik et al [22] introduced a laboratory-scale model for studying vibration-based damage detection in a top-tensioned riser.…”