Application of Electric Mixing Method to Increase Industrial Crude Oil Dehydration Efficiency

Document Type : Research Paper

Authors

Department of Chemical Engineering, College of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

Abstract

The salt can reason severe difficulties like fouling, corrosion using salt deposition, and catalyst poisoning in the downstream parts. This study presents a modification process for improving the efficiency of dehydration in a desalting unit. The main purpose of this investigation is to substitute the mixing valve with an electrical mixing system. Process configuration was modeled in addition to the electrostatic desalting drum. Based on this model, it is affirmed that modification is capable to increase the efficiency of dehydration. The models are designed according to the population balance technique to predict water cut in treated crude oil. To improve the considered model accuracy, the consequences are compared to industrial data of the mixing valve. The comparison between the results gained by the mixing valve and the electric mixing system proves the superiority of the suggested tool. Furthermore, the results indicate the electric field strength optimum value in the mixing step to attaining minimum water cut in treated crude oil.

Keywords


Speight JG. Handbook of petroleum product analysis. John Wiley & Sons; 2015 Feb 2.
[2] Shehzad F, Hussein IA, Kamal MS, Ahmad W, Sultan AS, Nasser MS. Polymeric surfactants and emerging alternatives used in the demulsification of produced water: A review. Polymer Reviews. 2018 Jan 2;58(1):63-101.
[3] Alberini F, Dapelo D, Enjalbert R, Van Crombrugge Y, Simmons MJ. Influence of DC electric field upon the production of oil-in-water-in-oil double emulsions in upwards mm-scale channels at low electric field strength. Experimental Thermal and Fluid Science. 2017 Feb 1;81:265-76.
[4] Zolfaghari R, Fakhru’l-Razi A, Abdullah LC, Elnashaie SS, Pendashteh A. Demulsification techniques of water-in-oil and oil-in-water emulsions in petroleum industry. Separation and Purification Technology. 2016 Oct 1;170:377-407.
[5] Kamp J, Villwock J, Kraume M. Drop coalescence in technical liquid/liquid applications: A review on experimental techniques and modeling approaches. Reviews in Chemical Engineering. 2017 Feb 1;33(1):1-47.
[6] Aryafard E, Farsi M, Rahimpour MR, Raeissi S. Modeling electrostatic separation for dehydration and desalination of crude oil in an industrial two-stage desalting plant. Journal of the Taiwan Institute of Chemical Engineers. 2016 Jan 1;58:141-7. [7] V afajoo L, Ganjian K, Fattahi M. Influence of key parameters on crude oil desalting: An experimental and theoretical study. Journal of Petroleum Science and Engineering. 2012 Jul 1;90:107-11.
[8] Abdul-Wahab S, Elkamel A, Madhuranthakam CR, Al-Otaibi MB. Building inferential estimators for modeling product quality in a crude oil desalting and dehydration process. Chemical Engineering and Processing: Process Intensification. 2006 Jul 1;45(7):568-77.
[9] Al-Otaibi MB, Elkamel A, Nassehi V, Abdul-Wahab SA. A computational intelligence based approach for the analysis and optimization of a crude oil desalting and dehydration process. Energy & fuels. 2005 Nov 16;19(6):2526-34.
[10] Bresciani AE, Mendonça CF, Alves RM, Nascimento CA. Modeling the kinetics of the coalescence of water droplets in crude oil emulsions subject to an electric field, with the cellular automata technique. Computers & Chemical Engineering. 2010 Dec 9;34(12):1962-8.
[11] Mitre JF, Lage PL, Souza MA, Silva E, Barca LF, Moraes AO, Coutinho RC, Fonseca EF. Droplet breakage and coalescence models for the flow of water-in-oil emulsions through a valve-like element. Chemical Engineering Research and Design. 2014 Nov 1;92(11):2493-508.
[12] Aryafard E, Farsi M, Rahimpour MR. Modeling and simulation of crude oil desalting in an industrial plant considering mixing valve and electrostatic drum. Chemical Engineering and Processing: Process Intensification. 2015 Sep 1;95:383-9.
[13] Sotelo C, Favela-Contreras A, Sotelo D, Beltrán-Carbajal F, Cruz E. Control structure design for crude oil quality improvement in a dehydration and desalting process. Arabian Journal for Science and Engineering. 2018 Nov;43(11):6579-94.
[14] Vajihinejad V, Soares JB. Monitoring polymer flocculation in oil sands tailings: A population balance model approach. Chemical Engineering Journal. 2018 Aug 15;346:447-57.
[15] Wang Y, He G, Shao Y, Zhang D, Ruan X, Xiao W, Li X, Wu X, Jiang X. Enhanced performance of superhydrophobic polypropylene membrane with modified antifouling surface for high salinity water treatment. Separation and Purification Technology. 2019 May 1;214:11-20.
[16] Hounslow MJ, Ryall RL, Marshall VR. A discretized population balance for nucleation, growth, and aggregation. AIChE journal. 1988 Nov;34(11):1821-32.
[17] Bagheri H, Hashemipour H, Ghader S. Population balance modeling: application in nanoparticle formation through rapid expansion of supercritical solution. Computational Particle Mechanics. 2019 Oct;6(4):721-37.
[18] Galinat S, Masbernat O, Guiraud P, Dalmazzone C, Noı C. Drop break-up in turbulent pipe flow downstream of a restriction. Chemical Engineering Science. 2005 Dec 1;60(23):6511-28.
Journal of Chemical and Petroleum Engineering 2020, 55(1): 99-115 115
[19] Coulaloglou CA, Tavlarides LL. Description of interaction processes in agitated liquid-liquid dispersions. Chemical Engineering Science. 1977 Jan 1;32(11):1289-97.
[20] Håkansson A, Trägårdh C, Bergenståhl B. Dynamic simulation of emulsion formation in a high pressure homogenizer. Chemical Engineering Science. 2009 Jun 15;64(12):2915-25.
[21] Cen Z, Wang J. Crude oil price prediction model with long short term memory deep learning based on prior knowledge data transfer. Energy. 2019 Feb 15;169:160-71.
[22] Zhang X, Basaran OA, Wham RM. Theoretical prediction of electric field‐enhanced coalescence of spherical drops. AIChE Journal. 1995 Jul;41(7):1629-39.
[23] Manga M, Stone HA. Collective hydrodynamics of deformable drops and bubbles in dilute low Reynolds number suspensions. Journal of Fluid Mechanics. 1995 Oct;300:231-63.
[24] Lebaz N, Sheibat-Othman N. A population balance model for the prediction of breakage of emulsion droplets in SMX+ static mixers. Chemical Engineering Journal. 2019 Apr 1;361:625-34.
[25] Fino D, Bensaid S, Piumetti M, Russo N. A review on the catalytic combustion of soot in diesel particulate filters for automotive applications: from powder catalysts to structured reactors. Applied Catalysis A: General. 2016 Jan 5;509:75-96.
[26] Kumar S, Ramkrishna D. On the solution of population balance equations by discretization—I. A fixed pivot technique. Chemical Engineering Science. 1996 Apr 1;51(8):1311-32.
[27] Nishiwaki T, Adachi K, Kotaka T. Deformation of viscous droplets in an electric field: Poly (propylene oxide)/poly (dimethylsiloxane) systems. Langmuir. 1988 Jan;4(1):170-5.