Advanced Engineering

Subsea Risers/Conductors analyses including multi-risers interference effects is performed whilst considering the combined effects of direct Fluid Structure Interactions (FSI) and Vortex Induced Vibrations (VIV) which we mitigate with the design of riser strakes and overall optimisation. We then assess the Inflow and Cross flow responses and the remaining fatigue lives.

Artificial Neural networks (ANNs) are excellent in the prediction, damage detection, online monitoring and controlling in offshore structures especially in cases where the formal Finite Element Analysis (FEA) is complicated and time consuming. Geanti uses state-of-the-art Artificial Neural Networks methodology for structural fatigue assessment and structural life extensions. From our experience as well as from several literature studies/surveys it has been proven that ANNs provide fairly accurate results compared to conventional FE methods in terms of fatigue life. Furthermore, long term erosion and corrosion experienced in such structures require complex analyses when using conventional FE Analysis techniques. ANNs are comparatively faster, reliable as well as computationally inexpensive and thus reduce the overall cost of life extension studies.