Prediction of areal wave extremes across Norwegian continental shelf parts by multidimensional Gaidai natural hazards prognostics method

This case study advocates spatiotemporal multimodal state-of-the-art environmental (or structural) hazard prognostics approach, particularly fit for high-dimensional environmental (or structural) systems, being either simulated numerically, or measured physically. Environmental system multi-dimensionality, in combination with nonlinear inter-correlation pattern between system's components being not always easily managed by existing risk evaluation techniques, that deal with raw time series. Current study presents multimodal Gaidai risk evaluation method, applied to raw measured significant wave-heights dataset, collected within two different offshore zones, in the vicinity of Troll-A and Heidrun Norwegian oil and gas fields. It is challenging to analyse offshore wave dynamics, as it constitutes complex, multidimensional, highly nonlinear, inter-correlated environmental (or structural) dynamic system. Global warming represents one of several covariates, having continuous impact on wave dynamics. Offshore, naval, marine structures, that operate within specific geographic areas of interest, being exposed to occasionally adverse weather conditions.