Visual investigation and modeling of asphaltene precipitation and deposition during CO2 miscible injection into oil reservoirs

被引:59
|
作者
Zanganeh, Peyman [1 ]
Dashti, Hossein [1 ,2 ]
Ayatollahi, Shahab [3 ]
机构
[1] Shiraz Univ, Sch Chem & Petr Engn, Enhanced Oil Recovery EOR Res Ctr, Shiraz, Iran
[2] Curtin Univ, Sch Chem & Petr Engn, Dept Chem Engn, Bentley, WA, Australia
[3] Sharif Univ Technol, Dept Chem & Petr Engn, Tehran, Iran
关键词
Asphaltene deposition; Enhanced oil recovery; CO2; flooding; Pressure depletion; Thermodynamic model; Solid model; CRUDE-OIL; DIFFERENT PRESSURES; MASS-SPECTROMETRY; SOLUBILITY; KINETICS; DISTRIBUTIONS; AGGREGATION; TEMPERATURE; SIMULATION; REDUCTION;
D O I
10.1016/j.fuel.2015.07.063
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Miscible carbon dioxide (CO2) flooding has become the most commonly and favorable approach in Enhanced Oil Recovery (EOR) because of its high oil reservoir sweep efficiency and contribution to the reduction of greenhouse gas emissions. Despite this, it can significantly favor the asphaltene deposition, which leads to the wettability reversal and formation damage. A novel experimental setup was utilized to study asphaltene deposition on the model rock at reservoir condition. The evolution of asphaltene deposition was monitored by a microscope; then analyzed by image processing software to check the amount of deposited asphaltene and its size distribution at different conditions. The amount of asphaltene deposition during natural pressure depletion and CO2 injection was measured experimentally and modeled using the thermodynamic solid model. The results indicated that during the pressure depletion process, asphaltene particles tend to dissolve in the solution. It is shown that the amount of asphaltene deposition increases as more CO2 is injected. Further, the thermodynamic solid model used for this case study included many empirical parameters required to match the experimental data comprehensively. A range of sensitivity analysis is carried out to investigate the effects of dominant parameters in this study. The proposed model used in this study reasonably predicted the trend of the asphaltene precipitation process for both pressure depletion and CO2 injection processes as oil recovery processes. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:132 / 139
页数:8
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