PENENTUAN KOMPOSISI CRUDE OIL PADA PROSES BLENDING DENGAN PENDEKATAN ALGORITMA GENETIKA

  • Miftahol Arifin Institut Teknologi Telkom Purwokerto
  • Grahan Rizka Pradita UPN Veteran Yogyakarta
Keywords: the volume composition of feed , simplex method and genetic algorithm

Abstract

PT PERTAMINA (Persero) Refinery Unit IV is a natural distilation oil company. The process of blending  crude oil done in PT PERTAMINA (Persero) Refinery Unit IV often produces feed  imperfectly. The product’s fraction produced from this blending process can not get maximum output. What is needed is optimazing  the determination of crude oil composition during the process of blending  crude. The aim of this process is to separate the contain of LPG, Light Naphtha, Heavy Naphtha, kero, Light Gas Oil (LGO), Heavy Gas Oil (HGO), LSWR (Low Sulfur Wax Residue) with other composition in order to suit with colom capacity in Crude Destilation Unit II (CDU II).

The aim of this research is determining the composition of crude oil from every oil tank to be feed  in CDU II. With  optimal percentage, the expectation is to increase the number of product fraction from blending   process. The solving of this problem is using simplex method  the approach of genetic algorithm. The advantage of genetic algorithm in the development of chromosome, it can be done randomly based on the number of determined popsize. Besides, the alternative of chromosome will have bigger probability than using the simplex method.

The result of calculation using the genetic algorithm method produces the total precentage of crude oil’s composition 99,91% and the composition of volume feed  229.774 MB. With composition volume feed  for CDU  II  41.285 MB pulled back from oil tank 71T-4, 55.384 MB from oil tank 71T-12, 71.852 MB from oil tank 71T-16 and the last 61.249 MB from oil tank 71T-105. The estimation of result not be different away by the solution produced simplex method.

References

[1] J. Peng, Z. Li, and B. M. Drakeford, “Dynamic characteristics of crude oil price fluctuation-from the perspective of crude oil price influence mechanism,” Energies, vol. 13, no. 17, 2020, doi: 10.3390/en13174465.
[2] C. Jaroenkhasemmeesuk, P. Prasertpong, Y. Thanmongkhon, and N. Tippayawong, “Simplex Lattice Approach to Optimize Yields of Light Oil Products from Catalytic Cracking of Bio-Oil with Mixed Catalysts,” Chem. Eng. Commun., vol. 204, no. 6, 2017, doi: 10.1080/00986445.2017.1302942.
[3] X. Yu and M. Gen, “Introduction to Evolutionary Algorithms,” Ind. Eng. Manag. Syst., vol. 9, no. 4, 2010, doi: 10.7232/iems.2010.9.4.348.
[4] D. Whitley, “A genetic algorithm tutorial,” Stat. Comput., vol. 4, no. 2, 1994, doi: 10.1007/BF00175354.
[5] Pertamina, “Sekilas Pertamina,” Situs Resmi Pertamina. 2020.
[6] Y. Fei et al., “Crude oil maritime transportation: Market fluctuation characteristics and the impact of critical events,” Energy Reports, vol. 6, 2020, doi: 10.1016/j.egyr.2020.02.017.
[7] A. S. Tasan and M. Gen, “A genetic algorithm based approach to vehicle routing problem with simultaneous pick-up and deliveries,” Comput. Ind. Eng., vol. 62, no. 3, 2012, doi: 10.1016/j.cie.2011.11.025.
[8] D. W. Cho, Y. H. Lee, T. Y. Lee, and M. Gen, “An adaptive genetic algorithm for the time dependent inventory routing problem,” in Journal of Intelligent Manufacturing, 2014, vol. 25, no. 5, doi: 10.1007/s10845-012-0727-5.
[9] A. Bajaj and O. P. Sangwan, “A Systematic Literature Review of Test Case Prioritization Using Genetic Algorithms,” IEEE Access, vol. 7, 2019, doi: 10.1109/ACCESS.2019.2938260.
[10] S. Katoch, S. S. Chauhan, and V. Kumar, “A review on genetic algorithm: past, present, and future,” Multimed. Tools Appl., vol. 80, no. 5, 2021, doi: 10.1007/s11042-020-10139-6.
[11] W. Zhang, Z. Xing, D. Yang, W. Hou, C. Wang, and M. Gen, “Multiobjective Particle Swarm Optimization with Improved Selection Strategy for Route Optimization,” in Proceedings - 2019 IEEE International Conference on Smart Manufacturing, Industrial and Logistics Engineering, SMILE 2019, Apr. 2019, pp. 205–209, doi: 10.1109/SMILE45626.2019.8965307.
Published
2022-04-08
How to Cite
Miftahol Arifin, & Grahan Rizka Pradita. (2022). PENENTUAN KOMPOSISI CRUDE OIL PADA PROSES BLENDING DENGAN PENDEKATAN ALGORITMA GENETIKA. Jurnal Ilmiah Teknik Mesin, Elektro Dan Komputer, 1(2), 1-10. https://doi.org/10.51903/juritek.v1i2.317