Evaluation of Dynamic Tensions of Single Point Mooring System under Random Waves with Artificial Neural Network

Real-time monitoring of the mooring safety floating structures is great significance to their production operations. A deep learning model proposed here, based on long short-term memory (LSTM) artificial neural network. Firstly, numerical simulation carried out with single-point system a Floating Production Storage and Offloading (FPSO) as training data LSTM. Then LSTM performed. Finally, taking motion FPSO which not encountered by network input, we predict line tension this model. Here, one in South China Sea taken research case, hydrodynamic models are established, structure hyper-parameters determined. The prediction results under different combinations wind, wave, current compared calculation AQWA software. constructed here can well wave current.