Thermodynamic Modeling and Process Simulation of Kumkol Crude Oil Refining

Authors

  • M.A. Jamali School of Engineering and Digital Science, Nazarbayev University, 53, Kabanbay batyr ave., Astana, Kazakhstan
  • A. Bissenbay School of Engineering and Digital Science, Nazarbayev University, 53, Kabanbay batyr ave., Astana, Kazakhstan
  • N. Nuraje School of Engineering and Digital Science, Nazarbayev University, 53, Kabanbay batyr ave., Astana, Kazakhstan; National Laboratory Astana, Nazarbayev University, 53, Kabanbay batyr ave., Astana, Kazakhstan

DOI:

https://doi.org/10.18321/ectj1521

Keywords:

thermodynamics, modeling, simulation, crude, refinery, atmospheric distillation, ASTM D86, AspenTech

Abstract

The Crude Distillation Unit (CDU) mechanism is commonly regarded as the first stage in petroleum refining. In this study, Aspen Plus® is used to simulate the basic process of a CDU, which consists of an Atmospheric Distillation Column (ATC) and a Vacuum Distillation Column (VC). These columns are fed with two types of crude oil: KUMKOL from Kazakhstan and Soviet Export Blend, in the proportions of 0.75:0.25, 0.50:0.50, and 0.25:0.75, respectively. The goal was to do a parametric analysis and analyze the resultant streams of naphtha, kerosene, Atmospheric Gas Oil (AGO), Light Vacuum Gas Oil (LVGO), and Heavy Vacuum Gas Oil (HVGO). The simulation used the CHAO-SEA thermodynamic model, which included the Chao-Seader correlation, the Scatchard-Hildebrand model, the Redlich-Kwong equation of state, the Lee-Kesler equation of state, and the API gravity technique. Temperature, pressure, mass flow, enthalpy, vapor percentage, and average molecular weights of the streams at various phases within the CDU system were estimated. For both the ATC and VC columns, curves indicating Temperature- Pressure vs the number of stages, as well as ASTM D86 (temperature) versus stream volume % distillation, were developed. The results show that when compared to feed streams containing 0.25 and 0.50 StdVol of Kumkol Kazakhstan Oil, the feed stream with 0.75 StdVol produces more Heavy, Medium, and Light Vacuum Gas Oil (H-VGO, M-VGO, and L-VGO), as well as more Vacuum Gas (VG). These findings indicate that Kumkol Kazakhstan Oil is of high quality and has fewer contaminants, such as sulfur when compared to other accessible mixes throughout the world.

References

(1). M. Oprisan, Prospects for Coal and Clean Coal Technologies in Kazakhstan; IEA Clean Coal Centre: London, UK, 2011. URL

(2). R. Pomfret, Eur.-Asia Stud. 57 (2005) 859–876. Crossref

(3). M.J. Bradshaw, Geogr. J. 176 (2010) 275-290. Crossref

(4). A.A. Shukmanova, A.S. Abdelmaksoud, Evaluation of the physical-chemical properties of oil and gas composition in the Kumkol oil field, Kazakhstan. International Journal of Chemical Sciences 12 (2014) 894–902.

(5). J.H. Gary, G.E. Handwerk, M.J. Kaiser, D. Geddes (2007). Petroleum refining: technology and economics (5th ed.), CRC press. Crossref

(6). J.S. Seewald, Geochim. Cosmochim. Acta 65 (2001) 1641-1664. Crossref

(7). W.A. England, A.S. Mackenzie, D.M. Mann, T.M. Quigley, J. Geol. Soc. 144 (1987) 327–347. Crossref

(8). B.P. Vempatapu, P.K. Kanaujia, TrAC, Trends Anal. Chem. 92 (2017) 1–11. Crossref

(9). U.R. Chaudhuri, (2016). Fundamentals of petroleum and petrochemical engineering (1st ed.), CRC Press. Crossref

(10). S. Matar, L.F. Hatch, (2001). Chemistry of Petrochemical Processes (2nd ed.), Elsevier Science. Retrieved from URL . (Original work published 2001)

(11). E. Platvoet, R. Patel, D. Brown, J.D. McAdams, J.G. Seebold (2012). Refining and petrochemical industries: In The John Zink Hamworthy Combustion Handbook (2nd ed.). Crossref

(12). F. Campuzano, J.D. Martínez, A.F. Agudelo Santamaría, S.M. Sarathy, W.L. Roberts, Energy Fuels 37 (2023) 8836–8866. Crossref

(13). M.A. Fahim, T.A. Al-Sahhaf, A. Elkilani (2009). Fundamentals of petroleum refining (1st ed.) Elsevier Pub, UK. eBook ISBN: 9780080931562

(14). V.F. Csendes, A. Egedy, S. Leveneur, A. Kummer, Processes 11 (2023) 1503. Crossref

(15). A.M. Aitani, Encyclopedia of Energy (2004) 715–729. Crossref

(16). J. Wang, H. Lyu, D. Liu, C. Cui, J. Sun, Front Chem. Sci. Eng. 17 (2023) 1280–1288. Crossref

(17). L. Quej, J.L. Alamilla, M.A. Domínguez, A. Contreras, ECS Trans. 110 (2023) 7–19. Crossref

(18). G. Mubarak, C. Verma, I. Barsoum, A. Alfantazi, K.Y. Rhee, J. Taiwan Inst. Chem. Eng. 150 (2023) 105027. Crossref

(19). M.A. Kelland and K.W. Rønning, ACS Omega 8 (2023) 24495–24502. Crossref

(20). R.K. More, V.K. Bulasara, R. Uppaluri, V.R. Banjara, Chem. Eng. Res. Des. 88 (2010) 121–134. Crossref

(21). S. Watanasiri, Pure Appl. Chem. 83 (2011) 1255–1281. Crossref

(22). Y.A. Liu, A.F. Chang, P. Kiran (2018). Petroleum Refinery Process Modeling: Integrated Optimization Tools and Applications. Crossref

(23). A.M. Abudour, S.A. Mohammad, R.L. Robinson, and K.A.M. Gasem, Fluid Phase Equilib. 383 (2014) 156–173. Crossref

(24). Y. Lei, B. Zhang, X. Hou, Q. Chen, Chin. J. Chem. Eng. 21 (2013) 285–294. Crossref

(25). F. Behar, S. Kressmann, J.L. Rudkiewicz, M. Vandenbroucke, Org. Geochem. 19 (1992) 173–189. Crossref

(26). A.N. Khalaf, University of Thi-Qar Journal for Engineering Sciences 9 (2018) 29–39. Crossref

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Published

2023-11-20

How to Cite

Jamali, M., Bissenbay, A., & Nuraje, N. (2023). Thermodynamic Modeling and Process Simulation of Kumkol Crude Oil Refining . Eurasian Chemico-Technological Journal, 25(3), 183–192. https://doi.org/10.18321/ectj1521

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