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Proceedings Papers

Paper presented at the The Thirteenth ISOPE Pacific/Asia Offshore Mechanics Symposium, October 14–17, 2018
Paper Number: ISOPE-P-18-054
... deep learning test 1 mlp forecasted sway neural network forecasted sway line failure displacement subsea system frequency motion environmental direction renewable energy rmse ratio machine learning mooring system time series artificial neural network test 2 line break sea state...
Proceedings Papers

Paper presented at the The Thirteenth ISOPE Pacific/Asia Offshore Mechanics Symposium, October 14–17, 2018
Paper Number: ISOPE-P-18-018
... the water-seabed-pipeline interaction under wave and current loading system, and the process was fully coupled. saturation machine learning soil displacement engineering vicinity analytical solution offshore pipeline pore pressure liu trench layer ocean engineering equation boundary...
Proceedings Papers

Paper presented at the The Thirteenth ISOPE Pacific/Asia Offshore Mechanics Symposium, October 14–17, 2018
Paper Number: ISOPE-P-18-010
... ABSTRACT This paper describes an original approach to reduce drastically the analysis time needed for fatigue design of structures by using machine learning techniques. The approach is applied to the spectral fatigue analysis of various structural details on a converted FPSO hull, where design...
Proceedings Papers

Paper presented at the The Twelfth ISOPE Pacific/Asia Offshore Mechanics Symposium, October 4–7, 2016
Paper Number: ISOPE-P-16-066
... in port infrastructure and moored vessels. Thus a reliable estimation of wave overtopping rate is essential to reduce the risk associated with the failure of the breakwaters. janssen berm breakwater machine learning breakwater water depth artificial intelligence mass-armoured berm breakwater...
Proceedings Papers

Paper presented at the The Twelfth ISOPE Pacific/Asia Offshore Mechanics Symposium, October 4–7, 2016
Paper Number: ISOPE-P-16-026
... Station. parameter estimation method different return period robustness artificial intelligence gev distribution machine learning cmmethod confidence interval lmmethod precipitation return period quantile monte carlo simulation taihu basin china unbiasedness risk management...
Proceedings Papers

Paper presented at the The Eleventh ISOPE Pacific/Asia Offshore Mechanics Symposium, October 12–14, 2014
Paper Number: ISOPE-P-14-069
... entropy distribution ice thickness artificial intelligence confidence interval liaodong bay weibull distribution calculation gumbel distribution sea ice thickness pearson type-3 distribution machine learning thickness lognormal distribution return period fitting curve return value design...
Proceedings Papers

Paper presented at the The Eleventh ISOPE Pacific/Asia Offshore Mechanics Symposium, October 12–14, 2014
Paper Number: ISOPE-P-14-070
.... frequency corresponding wind speed return period wave height probability distribution copula function gumbel distribution marginal distribution university wind speed joint distribution artificial intelligence upstream oil & gas machine learning annual maximum wave height distribution...
Proceedings Papers

Paper presented at the The Eleventh ISOPE Pacific/Asia Offshore Mechanics Symposium, October 12–14, 2014
Paper Number: ISOPE-P-14-001
...-submersible platform. calculation accuracy wave parameter upstream oil & gas fatigue damage simulated result significant wave height wave scatter dnv code sea state artificial intelligence edm riser machine learning approximation analysis method fatigue damage assessment spectral...
Proceedings Papers

Paper presented at the The Eleventh ISOPE Pacific/Asia Offshore Mechanics Symposium, October 12–14, 2014
Paper Number: ISOPE-P-14-098
... Abstract Gaussian process regression (GPR) is a new machine learning method by the context of Bayesian theory and statistical learning theory. As a nonparametric method, GPR can adapt its complexity flexibly to the complex data distributions in the real-world, without any heuristics or manual...
Proceedings Papers

Paper presented at the The Eleventh ISOPE Pacific/Asia Offshore Mechanics Symposium, October 12–14, 2014
Paper Number: ISOPE-P-14-097
... correlation selection correlation analysis statistics site pair correlation coefficient wallis pearson correlation coefficient sensitivity test homogeneous region regional frequency analysis taihu basin correlation frequency analysis water resource management machine learning Correlation...
Proceedings Papers

Paper presented at the The Tenth ISOPE Pacific/Asia Offshore Mechanics Symposium, October 3–5, 2012
Paper Number: ISOPE-P-12-039
... of the sea area in the Gulf of Bothnia since 1979 till the present time with subsequent statistical data processing ( http://en.ilmatieteenlaitos.fi ). bothnia investigation probability machine learning ice condition gulf raahe lighthouse probabilistic model ice concentration ice thickness...
Proceedings Papers

Paper presented at the The Tenth ISOPE Pacific/Asia Offshore Mechanics Symposium, October 3–5, 2012
Paper Number: ISOPE-P-12-004
.... (2012c). climate change seasonal component oscillate ocean wave climate hierarchical space-time model model component spatial field co 2 credible interval artificial intelligence contribution projection ocean area long-term trend machine learning significant wave height future...
Proceedings Papers

Paper presented at the The Tenth ISOPE Pacific/Asia Offshore Mechanics Symposium, October 3–5, 2012
Paper Number: ISOPE-P-12-062
... for the analysis. yellow river reservoir rainfall runoff delta discharge yellow river estuary artificial intelligence sediment diversion sediment discharge water diversion linear trend sediment confidence level khistofrov diversion kendall method time series analysis machine learning...
Proceedings Papers

Paper presented at the The Seventh ISOPE Pacific/Asia Offshore Mechanics Symposium, September 17–21, 2006
Paper Number: ISOPE-P-06-009
... principle fourier transform denote probability machine learning nonlinear sea wave maximum entropy distribution wave group length group length variance surface elevation artificial intelligence ocean eng envelope hilbert transform ABSTRACT: Group length which is defined as number...
Proceedings Papers

Paper presented at the The Seventh ISOPE Pacific/Asia Offshore Mechanics Symposium, September 17–21, 2006
Paper Number: ISOPE-P-06-037
... parameter upstream oil & gas random variable genetic algorithm sensitivity optimization problem new population reliability limit state function machine learning ocean engineering structure reproduction michalewicz reliability analysis fitness Research on Reliability of Ocean...
Proceedings Papers

Paper presented at the The Sixth ISOPE Pacific/Asia Offshore Mechanics Symposium, September 12–16, 2004
Paper Number: ISOPE-P-04-001
... in the bottom of the ship hull in the middle of the ocean. Its pipe handling and deployment of 5,000-m-long pipe were automated. machine learning petroleum drilling self-propelled miner deep-ocean mining isope ocean mining sym pacific ocean omco lockheed mining system buffer upstream oil...
Proceedings Papers

Paper presented at the The Sixth ISOPE Pacific/Asia Offshore Mechanics Symposium, September 12–16, 2004
Paper Number: ISOPE-P-04-042
... mobility autonomous underwater vehicle velocity control loop coefficient remotely operated vehicle subsystem underwater vehicle multi-dimensional variable structure system control law machine learning matrix synthesis transient process variable structure system subsea system block diagram...
Proceedings Papers

Paper presented at the The Sixth ISOPE Pacific/Asia Offshore Mechanics Symposium, September 12–16, 2004
Paper Number: ISOPE-P-04-028
... machine learning wave record cumulative distribution guede soare possible effect wave height artificial intelligence chung-ren chou interpolation pearson type iii dimensionless wave height simulation time series conclusion gev distribution statistical model engineering lognormal ferreira...
Proceedings Papers

Paper presented at the The First ISOPE Pacific/Asia Offshore Mechanics Symposium, June 24–28, 1990
Paper Number: ISOPE-P-90-064
... artificial intelligence nonlinear multiple regression method regression method multiple regression method probability density function cumulative distribution function likelihood method maximum likelihood method estimation type iii asymptotic distribution machine learning type iii multiple...

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