Abstract
(1) Background: The structural integrity of offshore platforms can be compromised by numerous environmental factors, including wind, waves, ocean currents, seismic activity, or biological accumulations (e.g., vegetation). These elements, acting in concert, generate complex dynamic stresses that must be considered both at the design stage of these structures and subsequently, when assessing their safe operating life. (2) Methods: Based on the research of the international study and the local research study, the authors simulated the effects of the wind and wave equations of the Romanian Offshore Gas Platform Ana. In the context of the above, this paper will focus on describing a method for predicting horizontal displacements for fixed jacket platforms. These displacements are induced by the combined action of the environmental factors mentioned above, and their prediction will be achieved through artificial neural networks. (3) Results: This study presents a new model of ANNs, enabling forecasts of the structural behaviour of a platform deck under various scenarios involving wind, waves, sea currents, and different water depths, and predictions that are particularly valuable in the engineering design process. We introduced in this paper a new Artificial Intelligent Models to prediction environments effects of the Romanian Gas Platform Ana. (4) Conclusions: The design of any element of a fixed structure's analysis function to external forces is determined, and we will analyse exclusively the impact generated by waves, considering that the influence of sea currents is negligible in the specific context of this demonstration, applying the Morison equation.
Keywords
Morison equation
ANNs model
offshore gas platform
environment simulation
risk assessment
