Abstract
This paper focuses on a real case of connection of subsea oil wells to offshore platforms using pipe laying support vessels. The objective of this study is to maximize the oil production curve through an optimized use of the outsourced fleet. Specific features of this scenario are considered, such as technical constraints of each vessel, the availability of the vessels, materials for connection, and the end of the previous phase, called completion. A mixed integer linear programming model is developed considering several constraints that structure this complex situation, among which a relevant characteristic of the problem: the increase of the production curve using injection wells to fight the natural decline of producing wells over time. This mathematical model was tested in small computational instances, showing adequate behavior, which demonstrates that it faithfully represents the situation portrayed and can be used, combined with more advanced computational resources, to achieve better results.
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References
National Agency for Petroleum, Natural Gas and Biofuels (ANP): Oil, Natural Gas and Biofuels Statistical Yearbook (2019). http://www.anp.gov.br/publicacoes/anuario-estatistico/5237-anuario-estatistico-2019. Accessed 25 Apr 2020
National Bank for Economic and Social Development (BNDES): BNDES: a bank with a history and a future (2012). https://web.bndes.gov.br/bib/jspui/handle/1408/2101. Accessed 25 Apr 2020
Kaiser, M.J., Snyder, B.: The five offshore drilling rig markets. Mar. Policy 39, 201–214 (2013)
Nishi, T., Izuno, T.: Column generation heuristics for ship routing and scheduling problems in crude oil transportation with split deliveries. Comput. Chem. Eng. 60, 329–338 (2004)
Hennig, F., et al.: Maritime crude oil transportation – a split pickup and split delivery problem. Eur. J. Oper. Res. 218, 764–774 (2012)
Lee, J., Kim, B.: Industrial ship routing problem with split delivery and two types of vessel. Expert Syst. Appl. 42, 9012–9023 (2015)
Assis, L.S., Camponogara, E.: A MILP model for planning the trips of dynamic positioned tankers with variable travel time. Transp. Res. Part E 93, 372–388 (2016)
Lin, X., Chajakis, E.D., Floudas, C.A.: Scheduling of tanker lightering via a novel continuous-time optimization framework. Ind. Eng. Chem. Res. 42, 4441–4451 (2003)
Stanzani, A., Pureza, V., Morabito, R., Silva, B.J., Yamashita, D., Ribas, P.C.: Optimizing multiship routing and scheduling with constraints on inventory levels in a Brazilian oil company. Int. Trans. Oper. Res. 25, 1163–1198 (2018)
Gribkovskaia, I., Laporte, G., Shlopak, A.: A tabu search heuristic for a routing problem arising in servicing of offshore oil and gas platforms. J. Oper. Res. Soc. 59, 1449–1459 (2008)
Kisialiou, Y., Gribkovskaia, G., Laporte, G.: The periodic supply vessel planning problem with flexible departure times and coupled vessels. Comput. Oper. Res. 94, 52–64 (2018)
Cruz, R., Mendes, A.B., Bahiense, L., Wu, Y.: Integrating berth allocation decisions in a fleet composition and periodic routing problem of platform supply vessels. Eur. J. Oper. Res. 275, 334–346 (2019)
Mardaneh, E., Lin, Q., Loxton, R., Wilson, N.: Cargo scheduling decision support for offshore oil and gas production: a case study. Optim. Eng. 18(4), 991–1008 (2017). https://doi.org/10.1007/s11081-017-9348-3
Halvorsen-Weare, E.E., Fagerholt, K.: Optimization in offshore supply vessel planning. Optim. Eng. 18(1), 317–341 (2016). https://doi.org/10.1007/s11081-016-9315-4
Bassi, H.V., Ferreira Filho, V.J.M., Bahiense, L.: Planning and scheduling a fleet of rigs using simulation–optimization. Comput. Ind. Eng. 63, 1074–1088 (2012)
Pereira, R.A., Moura, A.V., de Souza, C.C.: Comparative experiments with GRASP and constraint programming for the oil well drilling problem. In: Nikoletseas, S.E. (ed.) WEA 2005. LNCS, vol. 3503, pp. 328–340. Springer, Heidelberg (2005). https://doi.org/10.1007/11427186_29
Moura, A.V., Pereira, R.A., Souza, C.C.: Scheduling activities at oil wells with resource displacement. Int. Trans. Oper. Res. 15, 659–683 (2008)
Cunha, V., Santos, I., Pessoa, L., Hamacher, S.: An ILS heuristic for the ship scheduling problem: application in the oil industry. Int. Trans. Oper. Res. 27, 197–218 (2020)
Acknowledgements
This research has been partially supported by FAPESP (grants 13/07375-0 and 16/01860-1) and CNPq (grant 306083/2016-7). The authors would like to thank the careful reading of the reviewers, whose comments helped to improve the quality of the manuscript.
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Bassi, S., Ronconi, D.P. (2020). Optimization of the Use of Critical Resources in the Development of Offshore Oil Fields. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12249. Springer, Cham. https://doi.org/10.1007/978-3-030-58799-4_29
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