%0 Conference Proceedings
%T Optimized Electrification of Subsea Oil & Gas Infrastructures Based in Genetic Algorithm
%+ Siemens [Lisbon]
%+ Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento em Lisboa (INESC-ID)
%+ Institute for Systems Engineering and Computers at Coimbra [INESC Coimbra]
%+ Universidade Nova de Lisboa = NOVA University Lisbon (NOVA)
%+ Centre of Technology and Systems (CTS)
%A Antunes, Tiago, A.
%A Castro, Rui
%A Santos, P., J.
%A Pires, A., J.
%A Foehr, Matthias
%Z Part 6: Smart Environments
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 10th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS)
%C Costa de Caparica, Portugal
%Y Luis M. Camarinha-Matos
%Y Ricardo Almeida
%Y José Oliveira
%I Springer International Publishing
%3 Technological Innovation for Industry and Service Systems
%V AICT-553
%P 214-223
%8 2019-05-08
%D 2019
%R 10.1007/978-3-030-17771-3_18
%K Subsea
%K Substations
%K Oil & Gas
%K Optimization
%K Genetic algorithm
%Z Computer Science [cs]Conference papers
%X Offshore field development relies on multiple optimization techniques targeting a feasible and cost-effective production solution yet are focused on the field itself. While so, advancements in offshore engineering bring increasingly complex subsea infrastructures to depths in the excess of 3,500 m. Many offshore production topsides which currently rely on costly and harmful onboard thermal-based power generation are turning to high voltage power-from-shore electrification solutions to cope with the challenges being brought by subsea infrastructures. An optimal electrification of these subsea templates is a challenge on its own as the seafloor morphology and well distribution is far from consistent. This paper presents a combined k-means and genetic-algorithm optimization to assess how the combined deployment of high voltage umbilical, wellheads and subsea substations can be optimized for the lowest cost possible. Results show a significant improvement in optimization of the total umbilical length as well as the substation positioning on the seabed.
%G English
%Z TC 5
%Z WG 5.5
%2 https://inria.hal.science/hal-02295230/document
%2 https://inria.hal.science/hal-02295230/file/483289_1_En_18_Chapter.pdf
%L hal-02295230
%U https://inria.hal.science/hal-02295230
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-WG5-5
%~ IFIP-DOCEIS
%~ IFIP-AICT-553