TY  - JOUR
N2  - Dynamic load acting on the side-by-side mooring system is one of the important factors to estimate the offloading operability of the FPSO. In this paper, a numerical mooring analysis for the side-by-side moored FPSO-tanker system is investigated. Floating Structure analysis is divided into two parts. The first is to calculate the hydrodynamic coefficient, and the second part is calculating the system responses in the time-domain analysis. The prediction of FPSO-Tanker responses is necessary during offloading. This research presents the possibility of the use of Artificial Neural Networks model for the prediction of the responses of FPSO-Tanker system with spread-mooring configuration. The ANN model considering various metocean data such as azimuth angles, significant wave height, wind load, swell, hawser and the mooring configurations. The results of this study indicated that the ANN model shows an accurate prediction of the FPSO-tanker response that are required for the design of side-by-side vessels during offloading. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
N1  - cited By 0; Conference of 6th International Conference on Mechanical, Manufacturing and Plant Engineering, ICMMPE 2020 ; Conference Date: 25 November 2020 Through 26 November 2020; Conference Code:262499
KW  - Dynamic loads; Floating production storage and offloading; Forecasting; Mooring; Neural networks
KW  -  Floating structures; Hydrodynamics coefficients; Load acting; Mooring analysis; Mooring system; Side by sides; Side-by-side mooring; Spread-moored FPSO; Structure analysis; System response
KW  -  Time domain analysis
SP  - 309
TI  - Analysis of Spread Moored FPSO-Tanker Side-by-Side System with Offloading Operability
ID  - scholars15684
AV  - none
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112346165&doi=10.1007%2f978-981-16-3641-7_37&partnerID=40&md5=f1f0c44ebe063c81a8ac96d1cf7b9655
JF  - Lecture Notes in Mechanical Engineering
A1  - Irawan, R.
A1  - Azizan, N.L.
A1  - Liew, M.S.
A1  - Al-Yacouby, A.M.
A1  - Danyaro, K.U.
EP  - 317
Y1  - 2021///
SN  - 21954356
PB  - Springer Science and Business Media Deutschland GmbH
ER  -