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Keywords: machine learning
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Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1147
... as effective passive control methods for improving the aerodynamic performance of a compressor cascade. And the results show that: the curved blade could lessen the flow loss to 2.55%. machine learning optimization problem lessen artificial intelligence speed ratio ocean energy renewable...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1136
... energy power stations. machine learning energy conservation renewable energy artificial intelligence sustainability sustainable development neural network selection sea area site selection wave energy power station criteria weight china criteria water depth qingdao ocean energy...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1150
... decomposition method can effectively improve the approximation and prediction ability of the model in machine learning. Based on the above analysis, this paper uses the combined model of Empirical Modal Decomposition and Long Short-Term Memory to separate the data from the residual water level sequence and use...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1114
... hydrate formation in offshore gas hydrate production experiments. paraffin remediation machine learning wax remediation hydrate remediation hydrate inhibition asphaltene inhibition node artificial intelligence maintenance production chemistry dynamic bayesian network upstream oil...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1163
... development of nonlinear structural damage identification technology is more in line with the actual engineering application needs. offshore projects planning and execution artificial intelligence offshore wind turbine structure subsea system renewable energy wind energy frequency machine...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1172
... instead of being integrated into the onshore power grid. machine learning sustainable development subsea system social responsibility offshore projects planning and execution wind energy evolutionary algorithm artificial intelligence renewable energy simulation turbine wind turbine...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1174
... feedforward controller was addressed recently by Al (2019). artificial intelligence schlipf lidar simulator subsea system rotor speed controller machine learning renewable energy feedback controller preview wind turbine lidar system simulation rotor-effective wind speed wind energy...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1256
... meteorological and oceanographic parameters. Wang et al. (2019) applied Bayesian approach in a model to estimate the uncertainties associated with weather and climate projections (e.g., 2-m temperature, surface radiation fluxes, or wind speed). upstream oil & gas machine learning artificial...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1196
... production while minimize the wake loss induced by the wake effect. machine learning artificial intelligence wind energy sustainable development renewable energy wind turbine position genetic algorithm bastankhah wake model optimization problem wind farm layout turbine layout optimization...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1281
... monitoring system, machine learning, and global and local flexible riser stress analysis at both the tensile and pressure armour layers of a flexible riser. The innovative monitoring system outputs and benefits are described, being the input for the machine learning method used for fatigue tracking. Key...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1191
... installation approaches to reduce operation time in offshore environment is highly demanded in industry for saving cost and increasing safety. offshore projects planning and execution sustainable development machine learning artificial intelligence platform design wind energy optimization problem...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1300
..., circular, and elliptical SFT cross sections by using the finite element software LS-DYNA, and concluded that the peak velocity of the elliptical shape is the smallest. upstream oil & gas hydraulic property parametric method sft cross-section machine learning engineering ear shape bézier...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1177
.... offshore projects planning and execution artificial intelligence hs 3 variance wind energy rayleigh distribution fatigue damage estimation subsea system renewable energy simulation machine learning platform design spectral approach coupling effect fatigue damage evaluation tower base...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1259
... Mackenzie Estuary is not only having scientific significance, but also a practical problem that needs to be solved urgently. machine learning beaufort sea simulation artificial intelligence wind direction neural network storm period simulation result ice concentration ice movement...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1282
.... In the process, Takbash proved that the extreme value analysis method is limited to the initial distributions and averaged conditions. machine learning deep learning dimension artificial intelligence hausdorff dimension subsea system distribution characteristic information prediction...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1229
... accompanied by climate change, electrification, digitalization, automation, and the rather wide disparities on how to predict the speeds for planning of Arctic transportations and for estimation of the emergency response time. machine learning marine transportation regime ice condition neural...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-2199
... studies. The main disadvantage of these traditional methods is that it is not accurate enough to predict the scour phenomenon. Therefore, artificial intelligence methods are propoesd for predicting this problems. For example, artificial neural networks (ANN), support vector machine (SVM), machine learning...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1193
..., et al. 2011). artificial intelligence machine learning energy conservation renewable energy transition wind energy social responsibility offshore installation offshore installation process cgspn approach temporal transition offshore operation base port simulation inventory...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1297
... machine learning renewable energy calculation error reduction ratio turbine system wind speed equation thrust Aerodynamic Load Analysis of a Floating Turbine System Based on CFD Method under Random Wind Wang Lizhi, Ju Fan School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao...
Proceedings Papers

Paper presented at the The 30th International Ocean and Polar Engineering Conference, October 11–16, 2020
Paper Number: ISOPE-I-20-1272
...-free period duration ice formation upstream oil & gas variability ice clearance kara sea scenario machine learning operation period artificial intelligence exploration drilling southwestern part geological structure onset frost drilling correlation coefficient cold season...

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