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Compliant vertical access riser assessment: DOE analysis and dynamic response optimization
Affiliation:1. Department of Architecture and Civil Engineering, University of Bath, Bath BA2 7AY, UK;2. Department of Engineering Science, University of Oxford, Parks Road, Oxford OX1 3PJ, UK;3. Department of Civil & Environmental Engineering, National University of Singapore, No. 1 Engineering Drive 2, Singapore 117576, Singapore;1. Department of Mechanical Engineering, Research Scholar, Sathyabama University, Chennai 600119, India;2. Department of Mechanical Engineering, Faculty of Engineering, Sathyabama University, Chennai 600119, India;1. Department of Mechanical Engineering, UNESP, Ilha Solteira, São Paulo 15385-000, Brazil;2. Department of Biosystem Engineering, UNESP, Tupã, São Paulo 17602-496, Brazil;3. Institute of Sound and Vibration Research, University of Southampton, SO17 1BJ, UK
Abstract:As a contribution to the deepwater oil and gas industry, this paper addresses the use of optimization techniques together with a design of experiments (DOE) assessment, as a way of automating the design of compliant vertical access risers (CVARs) while also leading to an optimal riser configuration based on some desired efficiency parameters. The CVAR is a new riser concept that can improve the structural performance of the production system and also provide several operational benefits. The DOE is a statistical technique that provides an objective measure of how design parameters are correlated and the effective contribution of each one at the riser performance. Based on such a study some general conclusive remarks on the global behavior of CVAR will be presented. Such results also play an important role for the optimization process, as it can highlight significant design parameters, enabling design simplifications and efficiency improvement. For optimization assessment, geometric parameters are taken as the design variables and the design constraints consider both structural integrity and operational criteria. A multi-objective approach is considered taking into account the structural performance and geometric criteria. Optimal solution is obtained by NSGA-II method. Extreme and operational environmental conditions of a Brazilian offshore field are used as the base case.
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