Title | Worst-case design of subsea production facilities using semi-infinite programming |
Publication Type | Journal Article |
Year of Publication | 2014 |
Authors | Stuber M.D, Wechsung A, Sundaramoorthy A, Barton PI |
Journal | AIChE Journal |
Volume | 60 |
Issue | 7 |
Pagination | 2513–2524 |
Keywords | design under uncertainty, global optimization, robust design, semi-infinite programming, verification |
Abstract | The problem of designing novel process systems for deployment in extreme and hostile environments is addressed. Specifically, the process system of interest is a subsea production facility for ultra deepwater oil and gas production. The costs associated with operational failures in deepwater environments are prohibitively high and therefore warrant the application of worst-case design strategies. That is, prior to the construction and deployment of a process, a certificate of robust feasibility is obtained for the proposed design. In this paper, the concept of worst-case design is addressed by formulating the design feasibility problem as a semi-infinite optimization problem with implicit functions embedded. A basic model of a subsea production facility is presented for a case study of rigorous performance and safety verification. Relying on recent advances in global optimization of implicit functions and semi-infinite programming, the design feasibility problem is solved, demonstrating that this approach is effective in addressing the problem of worst-case design of novel process systems. |
URL | http://onlinelibrary.wiley.com/doi/10.1002/aic.14447/abstract |
DOI | 10.1002/aic.14447 |
Worst-case design of subsea production facilities using semi-infinite programming
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