Mathematical Modelling and Dynamic Simulation of the Ethan Separation Unit in Natural Gas Liquefaction Plant 

Authors

  • Ghazwan Hani Hussien Department of Computer Science, College of Computer Science and Information Technology, University of Basra, Basra, Iraq Author
  • Basma Mohammed Uthman College of Computer Technology Tripoli, CCTT Software Development Technology Department, Libya Author

DOI:

https://doi.org/10.65150/EP-gjetr/V1E4/2025-07

Keywords:

Modelling, Simulation, Ethane, natural gas liquefaction, Separation, MATLAB

Abstract

Separation is one of the most important processes in all chemical industries, including the petroleum industry. Ethane gas separation is the simplest example of a gas mixture separation process. A mathematical model and dynamic simulation of the ethane gas separation unit at a natural gas liquefaction (NGL) plant were developed, focusing on developing an accurate mathematical representation that relies solely on temperature as the main dynamic variable, without introducing flow rate or pressure effects. This allows for a flexible and realistic simulation of the system's behaviour.

      The mathematical model was built using first-order differential equations that describe the temporal relationship between the temperatures at the inlets and outlets of the system components using matrix algebra. Actual operational data recorded from the work site were used, providing the model with a high degree of reliability and validity in simulating the system's actual performance under both steady-state and unsteady-state operating conditions. The simulation was implemented using the MATLAB/Simulink environment to represent the thermal relationships and analyze the dynamic interaction between the system units.

        The model results demonstrate good agreement with practical applications, making it possible to provide a ready-to-use simulation as a testbed for advanced process monitoring or operational decision support. Through system simulation, the model's ability to accurately and realistically represent system behaviour was demonstrated, matching the actual operational behavior with the help of gain factors. This work represents a qualitative contribution to the field of modelling industrial thermal systems and paves the way for further development toward building more comprehensive models for gas processing units.

References

1) N. Mahmood Aljamali and N. Salman Salih, “Review on Chemical Separation of Crude Oil and Analysis of Its Components,” 2021, doi: 10.37591/JoPET.

2) M. Asghari and M. A. Rakhshanikia, “Technology Transfer in Oil Industry, Significance and Challenges,” Procedia Soc Behav Sci, vol. 75, pp. 264–271, Apr. 2013, doi: 10.1016/j.sbspro.2013.04.030.

3) A. Musa, “Revolutionizing Oil and Gas Industries with Artificial Intelligence Technology,” International Journal of Computer Sciences and Engineering, vol. 11, no. 5, pp. 20–30, May 2023, doi: 10.26438/ijcse/v11i5.2030.

4) J. Sun et al., “Process Simulation and Integration of Natural Gas Condensate Recovery Using Ethane–Propane Refrigerant Mixture,” Processes, vol. 11, no. 8, Aug. 2023, doi: 10.3390/pr11082495.

5) A. Qudoos et al., “Review on computational fluid dynamics (CFD) modeling and simulation of CO2 adsorption,” Dec. 01, 2025, Elsevier B.V. doi: 10.1016/j.rineng.2025.107336.

6) S. Al Naami and K. M. Putrus, “Modeling and Control of a Continuous Stirred Tank Reactor (CSTR).”

7) S. Di Scipio, A. Rodríguez, A. Salazar, and A. Trigilio, “Simulation and sensitivity analysis of a natural gas liquefaction cycle,” 2014.

8) M. Hoorfar, Y. Alcheikhhamdon, and B. Chen, “A novel tool for the modeling, simulation and costing of membrane based gas separation processes using Aspen HYSYS: Optimization of the CO 2 /CH 4 separation process,” Comput Chem Eng, vol. 117, pp. 11–24, 2018, doi: 10.1016/j.compchemeng.2018.05.013Get.

9) N. Siraj and A. Hakim, “Steady-State and Dynamic Simulations of Gas Absorption Column Using MATLAB and SIMULINK Steady-State and Dynamic Simulations of Gas Absorption Column Using MATLAB and SIMULINK Introduction 2 Process description 3 Absorption tower model development 4 Results and discussion 5 Conclusion and recommendation,” 2018. [Online]. Available: https://www.researchgate.net/publication/370553678

10) M. Nikodijevic, R. Petrovic, S. V. Bochkarev, N. Todic, and I. Stankovic, “Mathematical modeling of heat transfer of liquefied natural gas engines,” Tehnicki Vjesnik, vol. 27, no. 2, pp. 475–479, Apr. 2020, doi: 10.17559/TV-20180318180621.

11) H. Ibrahim, “Mathematical modeling and simulation of control strategies for continuous stirrer tank reactor,” Bangladesh Journal of Scientific and Industrial Research, vol. 57, no. 3, pp. 149–162, Sep. 2022, doi: 10.3329/bjsir.v57i3.62017.

12) S. Adenubi, S. Adenubi, and A. D. Okafor, “Simulation of Natural Gas Processing Plant with and without Gas Leaks,” 2024. [Online]. Available: www.ujesr.org

13) J. Zhang, H. Meerman, R. Benders, and A. Faaij, “Comprehensive review of current natural gas liquefaction processes on technical and economic performance,” Feb. 05, 2020, Elsevier Ltd. doi: 10.1016/j.applthermaleng.2019.114736.

14) T. He, B. Si, T. Gundersen, L. Chen, and W. Lin, “Integrated ethane recovery and cryogenic carbon capture in a dual mixed refrigerant natural gas liquefaction process.”

15) K. Kolmetz, “KLM Technology Group Practical Engineering Guidelines for Processing Plant Solutions Engineering Solutions Kolmetz Handbook of Process Equipment Design NATURAL GAS LIQUIDS UNITS (NGL) SELECTION, SIZING AND TROUBLESHOOTING (ENGINEERING DESIGN GUIDELINES).” [Online]. Available: www.klmtechgroup.com

16) T. Jonach, B. Haddadi, C. Jordan, and M. Harasek, “Dynamic Simulation of a Gas and Oil Separation Plant with Focus on the Water Output Quality,” Energies (Basel), vol. 16, no. 10, May 2023, doi: 10.3390/en16104111.

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Published

2025-12-30

How to Cite

Hussien, G. H., & Uthman, B. M. (2025). Mathematical Modelling and Dynamic Simulation of the Ethan Separation Unit in Natural Gas Liquefaction Plant  . Global Journal of Engineering and Technology Research, 1(04), 210-222. https://doi.org/10.65150/EP-gjetr/V1E4/2025-07

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