A New Investigation on Asphaltene Precipitation: Experimental and a New Thermodynamic Approach

被引:4
|
作者
Behbahani, T. Jafari [1 ]
Miranbeigi, A. A. [1 ]
Sharifi, K. [1 ]
Behbahani, Z. Jafari [2 ]
机构
[1] Res Inst Petr Ind RIPI, POB 14665-1998, Tehran, Iran
[2] Islamic Azad Univ, Marvdasht Branch, Dept Math, Marvdasht, Iran
关键词
asphaltene; micellization; crude oil; PC-SAFT; precipitant; MICELLIZATION MODEL; GAS INJECTION; FLOCCULATION; PREDICTION; DEPOSITION; ADSORPTION; PRESSURE; EQUATION; SAFT;
D O I
10.1134/S0965544118080029
中图分类号
O62 [有机化学];
学科分类号
070303 ; 081704 ;
摘要
The process of asphaltene precipitation has a substantial effect on oil production in petroleum industry. In this work, a series of experiments was carried to determine the asphaltene precipitation of crude oil during solvent titration condition with Iranian crude oil sample using experimental set up. The precipitants such as pentane, heptanes, hexane, nonane and decane with varying volumes were used. Also, a developed thermodynamic model based on micellization and PC-SAFT (perturbed chain modification Statistical Associating Fluid Theory) has been proposed to account asphaltene precipitation during solvent titration conditions and the proposed model was verified using experimental data obtained in this work and also with those reported in the literature. In the proposed micellization model the PC-SAFT EOS (cubic equations of state) is applied to predict the onset point and to perform flash calculations. In order to compare the performance of the proposed micellization model, the asphaltene precipitation experimental data were correlated using existing micellization model and the proposed micellization model. The results show that the proposed micellization model predicts more accurately the asphaltene precipitation experimental data and is in agreement with the experimental data of reported in this work and with those reported in the literature with a mean square error of 0.9%. Therefore the predictions obtained from this proposed model, resulted in a good agreement with experimental data which shows a significant improvement in comparison to the previous micellization model in the available literature.
引用
收藏
页码:622 / 629
页数:8
相关论文
共 50 条
  • [21] Thermodynamic micellization model for asphaltene precipitation inhibition
    Pan, HQ
    Firoozabadi, A
    [J]. AICHE JOURNAL, 2000, 46 (02) : 416 - 426
  • [22] A monodisperse thermodynamic model for estimating asphaltene precipitation
    Mohammadi, Amir H.
    Richon, Dominique
    [J]. AICHE JOURNAL, 2007, 53 (11) : 2940 - 2947
  • [23] Thermodynamic Investigation of Asphaltene Precipitation during Primary Oil Production: Laboratory and Smart Technique
    Zendehboudi, Sohrab
    Ahmadi, Mohammad Ali
    Mohammadzadeh, Omidreza
    Bahadori, Alireza
    Chatzis, Ioannis
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2013, 52 (17) : 6009 - 6031
  • [24] Asphaltene-Induced Precipitation and Deposition During Pressure Depletion on a Porous Medium: An Experimental Investigation and Modeling Approach
    Mendoza de la Cruz, Jose L.
    Arguelles-Vivas, Francisco J.
    Matias-Perez, Victor
    Duran-Valencia, Cecilia de los A.
    Lopez-Ramirez, Simon
    [J]. ENERGY & FUELS, 2009, 23 (11) : 5611 - 5625
  • [25] Inhibiting asphaltene precipitation from Iranian crude oil using various dispersants: Experimental investigation through viscometry and thermodynamic modelling
    Dehaghani, Amir Hossein Saeedi
    Badizad, Mohammad Hasan
    [J]. FLUID PHASE EQUILIBRIA, 2017, 442 : 104 - 118
  • [26] Microscopic investigation of the onset of asphaltene precipitation
    Buckley, JS
    [J]. FUEL SCIENCE & TECHNOLOGY INTERNATIONAL, 1996, 14 (1-2): : 55 - 74
  • [27] Investigation of asphaltene precipitation at elevated temperature
    Andersen, SI
    Lindeloff, N
    Stenby, EH
    [J]. PETROLEUM SCIENCE AND TECHNOLOGY, 1998, 16 (3-4) : 323 - 334
  • [28] An Investigation of the Effect of Asphaltene Polydispersity on Asphaltene Precipitation and Deposition Tendencies
    Khaleel, Aisha T.
    Sisco, Caleb J.
    Tavakkoli, Mohammad
    Vargas, Francisco M.
    [J]. ENERGY & FUELS, 2022, 36 (16) : 8799 - 8808
  • [29] New approach for prediction of asphaltene precipitation due to natural depletion by using evolutionary algorithm concept
    Ahmadi, Mohammad Ali
    Shadizadeh, Seyed Reza
    [J]. FUEL, 2012, 102 : 716 - 723
  • [30] Asphaltene precipitation from live oils: An experimental investigation of onset conditions and reversibility
    Hammami, A
    Phelps, CH
    Monger-McClure, T
    Little, TM
    [J]. ENERGY & FUELS, 2000, 14 (01) : 14 - 18