Simulation Modeling of Rounded-Shape Floating LNG Production and Storage Capacities
Abstract
Liquefied Natural Gas production processes involve many high profile control systems and equipments that costing a vast amount of investment. Any mistakes in the management decision to select the resources and equipments will cause serious problem aftermath and it will be difficult to meet the expected output. Production processes play very important rules in Liquefied Natural Gas Supply Chain and integration with well models (under water process), storage models, transportation model and receiving terminal models. The main focuses of this paper are to simulate production and storage capacities of Rounded-Shape Floating Liquefied Natural Gas by considering the capacity of every single process and utilization of equipments used and storage design. Simulation modeling can be used as controlling and decision making tool with associated factors such as Front-End Engineering Design rate, capacity of every process and storage design capacity.
##Keywords:##
Simulation Modeling; Liquefied Natural Gas; Rounded-Shape Floating Liquefied Natural Gas; Production and Storage Capacities.
Published
Aug 20, 2014
How to Cite
SANUSI, Sanusi; KOTO, Jaswar.
Simulation Modeling of Rounded-Shape Floating LNG Production and Storage Capacities.
Journal of Ocean, Mechanical and Aerospace -science and engineering-, [S.l.], v. 10, n. 1, p. 1-6, aug. 2014.
ISSN 2527-6085.
Available at: <https://isomase.org/Journals/index.php/jomase/article/view/481>. Date accessed: 26 may 2026.
doi: http://dx.doi.org/10.36842/jomase.v10i1.481.
References
1. Anderson, E. (2003). Supply chain strategy in the oil and gas sector. Exploration & Production: The Oil & Gas Review. Downloaded from http://www.touchoi andgas.com/supply- chain-strategy-sector-a84-1.html.
2. M. Law, Simulation Modeling and Analysis. 4th McGraw-Hill.
3. Chopra, S. & Meindl, P. (2010). Supply chain management: Strategy, planning, and operations (4rd ed.). New York: Prentice Hall.
4. Cope Dayana et al (2007), Supply Chain Simulation Modeling Made Easy: An Innovative Approach.. Proceeding Winter Simulation Conference. Orlando USA.
5. D. Simchi-Levi, P. Kaminsky, E. Simchi-Levi, (2000), Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies. Irwin/McGraw-Hill, Boston.
6. Foti, D.A. (2006). Study spots downstream supply chain improvements. Oil and Gas Journal, 104(21), 49-53
7. Heever, J. (2004). The oil and gas supply chain. Problems…but also potential: manufactures best practices. http://www.mmsmag.co.za/articledetail.aspx?id=104.
8. Hugos, Michael."Chapter 1-BasicConceptsof Supply Chain Management". Essentials of Supply Chain Management. John Wiley & Sons. © 2003.
9. Ilmars Kerbers, Graham Hartnell, A Breakthrough for Floating LNG ?, Poten & Partners. New York. Downloaded from internet.
10. T. Cameron and G D. Ingram. (2008), A survey of industrial process modeling across the product and process lifecycle. Computers and Chemical Engineering, Vol. 32, No. 3, pp. 420–438.
11. Jaswar. el. al. (2011), Fluid Simulation of Absorption Acid Gas Removal Process in Floating LNG Production Vessel, The11th Asian International conference on Fluid Machinery. India.
12. Jaswar.el.(2011), Fluid Simulation of Regeneration Acid Gas Removal Process in Floating LNG Production Vessel,The11th Asian International conference on Fluid Machinery. India.
13. J. M. Swaminathan, S. F. Smith, N. M. Sadeh, (1998), Modeling Supply Chain Dynamics: A Multi-agent Approach, Decision Sciences, Vol. 29, No. 3, p. 607-632.
14. Jakub Dyntar, Ivan Sou?ek, Ivan Gros, (2012).Application of Discrete Event Simulation in LPG Storage Operation and Optimization IJCSI. International Journal of ComputerScienceIssues,Vol.9, Issue 3, No1, May2012ISSN (Online):1694-0814.
15. Juell, A., Whitson, C.H., and Hoda, M.F. (2009). Model Based Integration and Optimization Gas Cycling Benchmark. Paper SPE 121252. SPE Journal, September2010. doi:10.2118/121252-PA.
16. J. Dyntar, E. Kemrová, J. Škvor, (2012), Application of Discrete Event Simulation in Butadiene Rubber Supply Chain Optimization, KGK-Kautschuk Gummi Kunststoffe, Vol. 65, No. 3, p. 32-36.
17. Klatch Wally. (2005). Supply chain for Liquids. Boca Raton. T&F Informa. Auerbach Publications, Taylor & FrancisGroup
18. Kuwahara…al (2000) Liquefied natural gas supply optimization.EnergyConversion&Management41,153-161.Paragon
19. K. H. Van Dam, A. Adhitya, R. Srinivasan, Z. Lukszo,(2009), Critical evaluation of paradigms for modelling integrated supply chains, Computers and Chemical Engineering, Vol. 33, No. 10, pp. 1711–1726.
20. Lasschuit, W., Thijssen, N, (2004). Supporting supply chain planning and scheduling decisions in the oil and chemical industry. Comput. Chem. Eng. J. 28, 863–870. doi:10.1016/j.compchemeng.2003.09.026.
21. Mentzer, J.T. et al. (2001): Defining Supply Chain Management, in: Journal of Business Logistics, Vol. 22, No.2, 2001, pp. 1–25.
22. Niels Stchedroff , Russell C.H. Cheng (2003): Modeling a continuous process with discrete simulation and its application to LNG Supply Chains, Proceedings of the 2003 Winter Simulation Conference, University of Southampton Southampton, SO17 1BJ, U.K.
23. Ozelkan Ertunga, D’Ambrosio Alfred, Teng Gary. (2008). Optimizing liquid natural gas terminal design for effective supply chain operation, International Journal of production economics, 529-542. Elsevier.
24. Shell Development (Australia) Proprietary. (2009). Prelude Floating LNG Project. ( www.shell.com.au/prelude).
25. Simchi-Levi,D., Kaminsky,P., & Simchi-Levi, E., Designing and Managing the Supply Chain; Concepts, Strategies, and Case Studies, Irwin/McGraw-Hill, 1999.
26. Solutions for the Oil & Gas Industry. (2006). Optimizing the LNG Value Chain www.siemens.com/oil-gas
27. Sadler, I. (2007). Logistics and supply chain integration .SAGE Publications Ltd, LA, London, ND, Singapore.
28. Tomasgard, A., Rømo, F., Fodstad, M., Midthun, K., (2007). Optimization Models for the Natural Gas Value Chain. Geometric Modeling, Numerical Simulation, and Optimization. Springer, pp. 521–558.
29. S. Nilay, (2005), Process industry supply chains: Advances and challenges. Computers and Chemical Engineering, Vol. 29, No. 6, pp. 1225–1236.
30. Sanusi, Jaswar, Azaniza Wati. (2012), Optimization of Rounded-Shape Floating LNG Production and Storage CapacitiesUsingSimulationModeling(PartI),The6th Asia-Pacific Hydrodynamic and Workshop on Marine Hydrodynamics, pp.206 – 211, Malaysia.
31. Waters, D.(2003). Logistics: An introduction to supply chain management. Palgrave Macmillan, China.
32. Y. Chang, H. Makatsoris, (2001), Supply chain modeling using simulation, International Journal of Simulation: Systems, Science and Technology, Vol. 2, No. 1, pp. 24-30.
2. M. Law, Simulation Modeling and Analysis. 4th McGraw-Hill.
3. Chopra, S. & Meindl, P. (2010). Supply chain management: Strategy, planning, and operations (4rd ed.). New York: Prentice Hall.
4. Cope Dayana et al (2007), Supply Chain Simulation Modeling Made Easy: An Innovative Approach.. Proceeding Winter Simulation Conference. Orlando USA.
5. D. Simchi-Levi, P. Kaminsky, E. Simchi-Levi, (2000), Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies. Irwin/McGraw-Hill, Boston.
6. Foti, D.A. (2006). Study spots downstream supply chain improvements. Oil and Gas Journal, 104(21), 49-53
7. Heever, J. (2004). The oil and gas supply chain. Problems…but also potential: manufactures best practices. http://www.mmsmag.co.za/articledetail.aspx?id=104.
8. Hugos, Michael."Chapter 1-BasicConceptsof Supply Chain Management". Essentials of Supply Chain Management. John Wiley & Sons. © 2003.
9. Ilmars Kerbers, Graham Hartnell, A Breakthrough for Floating LNG ?, Poten & Partners. New York. Downloaded from internet.
10. T. Cameron and G D. Ingram. (2008), A survey of industrial process modeling across the product and process lifecycle. Computers and Chemical Engineering, Vol. 32, No. 3, pp. 420–438.
11. Jaswar. el. al. (2011), Fluid Simulation of Absorption Acid Gas Removal Process in Floating LNG Production Vessel, The11th Asian International conference on Fluid Machinery. India.
12. Jaswar.el.(2011), Fluid Simulation of Regeneration Acid Gas Removal Process in Floating LNG Production Vessel,The11th Asian International conference on Fluid Machinery. India.
13. J. M. Swaminathan, S. F. Smith, N. M. Sadeh, (1998), Modeling Supply Chain Dynamics: A Multi-agent Approach, Decision Sciences, Vol. 29, No. 3, p. 607-632.
14. Jakub Dyntar, Ivan Sou?ek, Ivan Gros, (2012).Application of Discrete Event Simulation in LPG Storage Operation and Optimization IJCSI. International Journal of ComputerScienceIssues,Vol.9, Issue 3, No1, May2012ISSN (Online):1694-0814.
15. Juell, A., Whitson, C.H., and Hoda, M.F. (2009). Model Based Integration and Optimization Gas Cycling Benchmark. Paper SPE 121252. SPE Journal, September2010. doi:10.2118/121252-PA.
16. J. Dyntar, E. Kemrová, J. Škvor, (2012), Application of Discrete Event Simulation in Butadiene Rubber Supply Chain Optimization, KGK-Kautschuk Gummi Kunststoffe, Vol. 65, No. 3, p. 32-36.
17. Klatch Wally. (2005). Supply chain for Liquids. Boca Raton. T&F Informa. Auerbach Publications, Taylor & FrancisGroup
18. Kuwahara…al (2000) Liquefied natural gas supply optimization.EnergyConversion&Management41,153-161.Paragon
19. K. H. Van Dam, A. Adhitya, R. Srinivasan, Z. Lukszo,(2009), Critical evaluation of paradigms for modelling integrated supply chains, Computers and Chemical Engineering, Vol. 33, No. 10, pp. 1711–1726.
20. Lasschuit, W., Thijssen, N, (2004). Supporting supply chain planning and scheduling decisions in the oil and chemical industry. Comput. Chem. Eng. J. 28, 863–870. doi:10.1016/j.compchemeng.2003.09.026.
21. Mentzer, J.T. et al. (2001): Defining Supply Chain Management, in: Journal of Business Logistics, Vol. 22, No.2, 2001, pp. 1–25.
22. Niels Stchedroff , Russell C.H. Cheng (2003): Modeling a continuous process with discrete simulation and its application to LNG Supply Chains, Proceedings of the 2003 Winter Simulation Conference, University of Southampton Southampton, SO17 1BJ, U.K.
23. Ozelkan Ertunga, D’Ambrosio Alfred, Teng Gary. (2008). Optimizing liquid natural gas terminal design for effective supply chain operation, International Journal of production economics, 529-542. Elsevier.
24. Shell Development (Australia) Proprietary. (2009). Prelude Floating LNG Project. ( www.shell.com.au/prelude).
25. Simchi-Levi,D., Kaminsky,P., & Simchi-Levi, E., Designing and Managing the Supply Chain; Concepts, Strategies, and Case Studies, Irwin/McGraw-Hill, 1999.
26. Solutions for the Oil & Gas Industry. (2006). Optimizing the LNG Value Chain www.siemens.com/oil-gas
27. Sadler, I. (2007). Logistics and supply chain integration .SAGE Publications Ltd, LA, London, ND, Singapore.
28. Tomasgard, A., Rømo, F., Fodstad, M., Midthun, K., (2007). Optimization Models for the Natural Gas Value Chain. Geometric Modeling, Numerical Simulation, and Optimization. Springer, pp. 521–558.
29. S. Nilay, (2005), Process industry supply chains: Advances and challenges. Computers and Chemical Engineering, Vol. 29, No. 6, pp. 1225–1236.
30. Sanusi, Jaswar, Azaniza Wati. (2012), Optimization of Rounded-Shape Floating LNG Production and Storage CapacitiesUsingSimulationModeling(PartI),The6th Asia-Pacific Hydrodynamic and Workshop on Marine Hydrodynamics, pp.206 – 211, Malaysia.
31. Waters, D.(2003). Logistics: An introduction to supply chain management. Palgrave Macmillan, China.
32. Y. Chang, H. Makatsoris, (2001), Supply chain modeling using simulation, International Journal of Simulation: Systems, Science and Technology, Vol. 2, No. 1, pp. 24-30.
