|
|
|
Ehsan Nikkhah, Antonio Carlos Fernandes and Jean-David Caprace
Online monitoring of mooring system response for the FPSO platform in any operational condition is so far challenging for machine learning (ML). This paper presents a new dynamic NARX ANN model for time series of mooring tension and a static MLP model fo...
ver más
|
|
|
|
|
|
|
Yan Li, Yaolong Li, Zhimin Zhao, Yougang Tang, Haoran Li, Yijian Zhang and Yinan Hu
At present, dry wellheads are usually adopted on small-storage TLP and SPAR platforms to develop offshore oil and gas because of the robust hydrodynamic performance under severe-wind seas. On the other hand, FPSO and FDPSO platforms that have a larger st...
ver más
|
|
|
|
|
|
|
Idris Ahmed Ja'e, Montasir Osman Ahmed Ali, Anurag Yenduri, Zafarullah Nizamani and Akihiko Nakayama
The behavior of different mooring line materials has a significant influence on the behavior of the mooring system and, consequently, the dynamic responses of the floating platform. Although there have been previous studies on FPSOs and their mooring sys...
ver más
|
|
|
|
|
|
|
Kauê L. Martins, Vinícius T. Pinto, Cristiano Fragassa, Mauro V. Real, Luiz A. O. Rocha, Liércio A. Isoldi and Elizaldo D. dos Santos
The present work develops a simplified computational methodology to predict brackets? mechanical behavior to support mooring systems? fairleads under maximum environmental loads. The methodology consists of estimating environmental loads in Campos?s basi...
ver más
|
|
|
|