Study on Operation of Arctic Offshore Complex by Means of Multicomponent Process-Based Simulation
Oleg V. Tarovik , Alex Topaj , Andrey B. Krestyantsev , Aleksander A. Kondratenko , Dmitry A. Zaikin
Journal of Marine Science and Application ›› 2018, Vol. 17 ›› Issue (4) : 471 -497.
Study on Operation of Arctic Offshore Complex by Means of Multicomponent Process-Based Simulation
We developed a detailed simulation model of the Arctic marine transport system (MTS) for oil platform Prirazlomnaya. The model has a multidisciplinary nature and involves: sub-models of various transport and technological processes; stochastic weather generator to obtain time series of 15 environmental parameters; and contextual planning algorithm to build voyage plan considering several types of ships and cargoes. We used a significant amount of real operational data to identify model parameters and to prove its statistical reliability. Our main scientific task is to investigate the interaction of various processes of a different nature, while the practical aim is to find a set of measures to increase the efficiency of MTS. The results of the study reveal many examples of the mutual interaction of various processes that need to be considered at the design stage to avoid technical mistakes. The study formed a basis for making managerial decisions at the top level of Gazprom Neft Shelf Company.
Marine transport system / Discrete event simulation / Offshore oil platform / Stochastic weather generator / Vessel voyage planning / Supply vessels operation / Arctic tankers
| [1] |
|
| [2] |
Agis JJG, Pettersen SS, Rehn CF, Ebrahimi A (2016) Handling commercial, operational and technical uncertainty in early stage offshore ship design. System of systems engineering conference SoSE 2016, Kongsberg, Norway, 1 – 6. https://doi.org/10.1109/SYSOSE.2016.7542950 |
| [3] |
Beesemyer JC, Fulcoly DO, Ross AM, Rhodes DH (2011) Developing methods to design for evolvability: research approach and preliminary design principles. Conference on systems engineering research, Los Angeles, California, USA, 1–12 |
| [4] |
Bergström M, Ehlers S, Erikstad SO, Erceg S, Bambulyak A (2014) Development of an approach towards mission-based design of Arctic maritime transport systems. OMAE 2014, San Francisco, California, USA, 1–8. https://doi.org/10.1115/OMAE2014-23848 |
| [5] |
Bergström M, Erikstad SO, Ehlers S (2015) Applying risk-based design to Arctic ships. OMAE 2015, St. John's, Newfoundland, Canada, 1–10. https://doi.org/10.1115/OMAE2015-41291 |
| [6] |
Botuk BO (1949) Wastewater treatment (in Russian). Ministry of Communal Services of the RSFSR, Moscow, Union of Soviet Socialist Republics, 1–304 |
| [7] |
|
| [8] |
Christiansen M, Fagerholt K, Nygreen B, Ronen D (2007) Maritime transportation. In: Barnhart C, Laporte G (eds). Handbooks in operations research and management science. North Holland, Amsterdam, 189–284 |
| [9] |
Edmunds T, Bulaevskaya V, Lamont A, Simpson M, Top P, Katzenstein W, Bining A (2014) Integrated stochastic weather and production simulation modeling. IEEE Power Engineering Society - Innovative Smart Grid Technologies, Livermore, California, USA, 1–5. IEEE 978–1–4799–3653-3, 14 |
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
Intergovernmental Panel on Climate Change, 2005. Citing electronic sources of information. Intergovernmental panel on climate change. Available from http://www.ipcc.ch. Accessed on 10 Apr 2018] |
| [18] |
|
| [19] |
Kazantsev M, Proniashkin A, Karulin E, Karulina M (2017) The ice management tactics development and navigation simulation of ice management operations on the modern training complex. OMAE 2017, Trondheim, Norway, 1–9. https://doi.org/10.1115/OMAE2017-62021 |
| [20] |
Kosmin MS, Tarovik OV (2013) Simulation modeling of marine transport systems operating in ice conditions. ISOPE 2013, Anchorage, Alaska, USA, 1241–1246 |
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
Michalakes J, Chen S, Dudhia J, Hart L, Klemp J, Middlecoff J, Skamarock W (2000) Development of a next-generation regional weather research and forecast model. Ninth ECMWF workshop on the use of parallel processors in meteorology, Reading, UK, 269–276. ANL/MCS-P868–0101 |
| [25] |
Milaković AS, Ulstein M, Bambulyak A, Ehlers S (2015) Optimization of OSV Fleet for an offshore oil and gas field in the Russian Arctic. OMAE 2015, St. John’s, Canada, 1–10. https://doi.org/10.1115/OMAE2015-41366 |
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
Richardson CW, Wright DA (1984) WGEN: a model for generating daily weather variables. US Department of Agriculture, Agricultural Research Service, Washington, USA, 1–86 |
| [30] |
|
| [31] |
RP5.ru Reliable Prognosis (2008) Citing electronic sources of information. Raspisaniye Pogodi Ltd. Available from https://rp5.ru/Weather_in_the_world. Accessed on 10 Apr 2018 |
| [32] |
Russian Maritime Register of Shipping (RMRS) (2003) Reference data on regime of wind and waves in the Barents, Okhotsk and Caspian seas. Russian Maritime Register of Shipping, Saint-Petersburg (in Russian) |
| [33] |
Schartmüller B, Milaković AS, Bergström M, Ehlers S (2015) A simulation-based decision support tool for Arctic transit transport. OMAE2015, St. John’s, Canada, 1–10. https://doi.org/10.1115/OMAE2015-41375 |
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
Tarovik OV, Topaj A, Bakharev AA, Kosorotov AV, Krestyantsev AB, Kondratenko AA (2017) Multidisciplinary approach to design and analysis of Arctic marine transport systems. OMAE2017, Trondheim, Norway, 1–10. https://doi.org/10.1115/OMAE2017-61951 |
| [38] |
|
| [39] |
U.S. Army Corps of Engineers Coastal engineering manual EM 1110–2-1100, 2002, Washington: U.S. Army Corps of Engineers |
| [40] |
|
| [41] |
Weijnen MPC, Herder PM, Bouwmans I (2007) Designing complex systems. A contradiction in terms. Delft science in design 2007, Delft, Netherlands, 1–17. https://doi.org/10.3233/978-1-58603-739-0-235 |
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| 〈 |
|
〉 |