مدلسازی آماری و بهینه سازی پارامترهای موثر در رسوب گذاری آسفالتین از ته ماند برج خلاء با استفاده از حلالهای صنعتی

نوع مقاله : پژوهشی اصیل

نویسندگان

1 دانشگاه تربیت مدرس

2 استادیار دانشکده مهندسی شیمی، دانشگاه تربیت مدرس

3 استاد دانشکده مهندسی شیمی، دانشگاه تربیت مدرس

چکیده
در این پژوهش امکان جداسازی آسفالتین از باقیمانده برج خلاء با استفاده از حلالهای صنعتی ارزان قیمت مانند 202 ،202 ،204 و 210 بررسی شد. برای رسوب آسفالتین از روشهای جداسازی 01/IP143 و 07-3279 D ASTM استفاده شد. جهت یافتن بیشترین میزان رسوب آسفالتین از نرم افزار طراحی آزمایش با سه فاکتور زمان ماند، نسبت حجم حلال به جرم خوراک و درصد حجمی حلال 204 به مجموع حلال 204 و 210 استفاده شد. نتایج نشان داد که بیشترین اثر میان پارامترهای اساسی به ترتیب مربوط به نسبت حلال به خوراک، درصد حجمی حلال 204 به کل حلال و زمان ماند بوده است و بین پارامترهای اساسی برهمکنش شدیدی وجود دارد. بهترین درصد رسوب آسفالتین در زمان ماند 79/34 ساعت، نسبت حلال به خوراک gr/ml 79/39 و درصد حجمی حلال 204 به حلال کل 29/20 %حاصل شد که توانست 04/9 %از 9/9 %را رسوب دهد و درصد رسوب آسفالتین حالت بهینه مخلوط حلالهای صنعتی 9/22 %کمتر از نرمال هپتان شد که با توجه به قیمت ارزانتر این حلالها بیش از 20 %در هزینه صرفه جویی شده است.

کلیدواژه‌ها

موضوعات


عنوان مقاله English

Statistical Modeling and Optimization of the Effective Parameters in Precipitation of Asphaltene from Vacuum Residue by Industrial Solvents

نویسندگان English

Elahe dehghani kazerouni 1
Fatemeh Eslami 2
Ramin Karimzadeh 3
1 Tarbiat Modares University
2 Assistant Professor, Chemical Engineering Department, Tarbiat modares University
3 Professor, Chemial Engineering Department, Tarbiat Modares University
چکیده English

In this research, the possibility of asphaltene separation from the vacuum tower residue using the low cost industrial solvents such as 402, 404, 406, and 410 was investigated. In order to separate asphaltene the IP143/01 and ASTM D 3279-07 separation methods were utilized. In order to find the optimal state of asphaltene precipitation, Design of experiments software with three factors of residence time, the solvent-to-feed ratio and the volume percent of 406 solvent to the total solvent of 406 and 410 were used. The results showed that the effectiveness of each parameter in precipitating the asphaltene attributed to the ratio of solvent to feed, the ratio of solvent 406 to total solvent, and the residence time, respectively and there was a significant interaction between the basic parameters. The best asphaltene precipitation of 5.06% of 7.5% happens at the residence time of 36.97 hours, the ratio of solvent to feed of 35.95 ml/gr and the volume percent of 406 solvent to the total solvent of 27.20%. Asphaltene precipitation percentage for the optimal mixture of industrial solvents was 22.5% lower than the precipitated asphaltene from normal heptane solvent. However, according to the solvents price, industrial solvents (410 and 406) were approximately 50% cheaper than normal heptane, and hence on overall, there was a cost savings of more than 20%

کلیدواژه‌ها English

Asphaltene Precipitation
Industrial solvents
Design of Experiments
Vacuum Residue
[1] Ø. Bjorøy, P. Fotland, E. Gilje, and H. Høiland, “Asphaltene precipitation from Athabasca bitumen using an aromatic diluent: A comparison to standard n -alkane liquid precipitants at different temperatures,” Energy and Fuels, vol. 26, no. 5, pp. 2648–2654, 2012.
[2] A. Demirbas, “Petroleum Science and Technology Physical And Chemical Characterizations Of Asphaltenes From Different Sources,” Petroleum Science And Technology, 20(5&6), 485–495 (2002).
[3] M. P. Hoepfner, V. Limsakoune, V. Chuenmeechao, and T. Maqbool, “A Fundamental Study of Asphaltene Deposition,” Energy Fuels, 27, 725−735 2013.
[4] S. Verdier, "Experimental Study and Modelling of Asphaltene Precipitation Caused by Gas Injection". IVC-SEP - Centre for Phase Equilibria and Separation Processes, PhD Thesis ,April 2006.
[5] M. Street, “Study Of Selected Petroleum Refining Residuals,” Petroleum Refining Industry Study. August, 1996.
[6] N. E. Burke and R. E. Hobbs, And S. F. Kashou “Measurement and Modeling of Asphaltene Precipitation,” JPT(Society of Petroleum Engineers), November, 1990.
[7] E. Hong and P. Watkinson, “A study of asphaltene solubility and precipitation,” FUEL vol. 83, pp. 1881–1887, 2004.
[8] C. A. Nwadinigwe, I. V Anigbogu, and O. T. Ujam, “Studies on precipitation performance of n -heptane and n -pentane / n -heptane on C 7 and C 5 / C 7 asphaltenes and maltenes from 350 ° C atmospheric residuum of three Nigerian light crudes,” J Petrol Explor Prod Technol , 2014.
[9] U. Godwin A, Ibezim-Ezeani, M.I, S.E. Ofodile, “Comparative investigation of heavy organics precipitation from crude oil using binary mixtures and single N-alkane organic solvents,” Journal of Petroleum and Gas Exploration Research, vol. 4(3), August, 2014.
[10] O. Achugasim and I. E. Ekpo, “Precipitation of Heavy Organics (Asphaltenes) from Crude Oil Residue Using Binary Mixtures of n-Alkanes,” Adv. Chem. Eng. Sci., vol. 5, no. January, pp. 96–101, 2015.
[11] O.O Tobrise; S.E. Ofodile, C. Osu and O. Achugasim, “Comparative Evaluation of Asphaltene Precipitation from Nigerian Crude Oil Residue Using Intermediate and Long Chain Single and Binary N-Alkane Solvent Mixtures,” IOSR Journal of Applied Chemistry (IOSR-JAC) Volume 9, Issue 5 Ver. I, May. 2016), PP 82-86
[12] M. A. Bezerra, R. E. Santelli, E. P. Oliveira, L. S. Villar, and L. A. Escaleira, “Response surface methodology (RSM) as a tool for optimization in analytical chemistry,” Talanta, 2 vol. 76, no. 5, pp. 965–977, 2008.
[13] R. A. Shishavan, M. Ghashghaee, and R. Karimzadeh, “Investigation of kinetics an cracked oil structural changes in thermal cracking of Iranian vacuum residues,” Fuel Process. Technol., vol. 92, no. 12, pp. 2226–2234, 2011.
[14] America Petroleum Institute, “Determination of asphaltenes (heptane insolubles) in crude petroleum and petroleum products,” pp. 1–7, 2001.
[15] ASTM International, “ASTM D3279-07, Standard Test Method for n-Heptane Insolubles,” 2007.
[16] M. A. Bezerra, R. E. Santelli, E. P. Oliveira, L. S. Villar, and L. A. Escaleira, “Response surface methodology (RSM) as a tool for optimization in analytical chemistry,” Talanta,vol. 76, no. 5, pp. 965– 77, Sep. 2008.