> In this work, the C 14‐16 alpha olefin sulphonate (AOS) surfactant, octylphenol ethoxylate (TX‐100), and methyl bi'/> Experimental investigation and modelling of CO2‐foam flow in heavy oil systems
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Experimental investigation and modelling of CO2‐foam flow in heavy oil systems

机译:重油系统中CO2 - 泡沫流动的实验研究和建模

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> In this work, the C 14‐16 alpha olefin sulphonate (AOS) surfactant, octylphenol ethoxylate (TX‐100), and methyl bis[Ethyl(Tallowate)]‐2‐hydroxyethyl ammonium methyl sulphate (VT‐90) surfactant were selected as representatives of anionic, nonionic, and cationic surfactant to stabilize foam. The effects of surfactant concentration and gas/liquid injection rates on foam performance were examined by performing a series of oil‐free foam flow tests by injecting CO 2 and a foaming surfactant simultaneously into sandpacks. Foam flooding was conducted as a tertiary enhanced oil recovery (EOR) method after conventional water flooding and surfactant flooding. Furthermore, a new method was proposed to determine the residual oil saturation. The foam stability in the presence and absence of heavy oil was studied by a comparative evaluation of the mobility reduction factor ( F MR ) in both cases. The foam fractional flow modelling by Dholkawala and Sarma [36] was modified based on experimental results obtained in this study. The range of the ratio of two important model parameters ( C g /C c ) at various foam qualities was determined and could be used for large‐scale predictions. The results showed that during the oil‐free foam displacement experiments higher foam apparent viscosities ( μ app ) were attained at lower gas flow rates and the maximum was attained at a total gas and liquid injection rate of 0.25?cm 3 /min with a gas fractional flow ratio of 0.8 for the foam in the absence of oil. The presence of oil reduced the foam mobility reduction factors ( F MR ) to different degrees with F MR without oil / F MR with oil ranging from 4.25–13.69, indicating that the oil had a detrimental effect on the foam texture. The foam flooding successfully produced an additional 8.1–21.52??% of OOIP, which can be attributed to the combined effect of increasing the pressure gradient and oil transporting mechanisms.
机译: > 在这项工作中,c 14-16 α烯烃磺酸(AOS)表面活性剂,辛基酚乙氧基化物(Tx-100)和甲基双甲基乙基(甲醇) - 2-羟乙基铵甲基硫酸甲酯(VT-90)表面活性剂被选为阴离子,非离子和阳离子表面活性剂的代表稳定泡沫。通过注射CO,通过进行一系列无油泡沫流测试来检查表面活性剂浓度和气/液/液注射率对泡沫性能的影响 2 和泡沫表面活性剂同时进入砂包。在常规水驱和表面活性剂泛滥后,作为第三次增强的采油(EOR)方法进行泡沫洪水。此外,提出了一种新方法以确定残留的油饱和度。通过对迁移率减少因子的比较评估研究了在存在和不存在重油中的泡沫稳定性( f 先生 )在这两种情况下。 Dholkawala和Sarma的泡沫分数流模型 [36] 根据本研究中获得的实验结果进行了修饰。两个重要模型参数的比例范围( c g / c c )确定各种泡沫品质,并可用于大规模预测。结果表明,在无油泡沫位移实验期间,泡沫表观粘度较高( μ app )以较低的气体流速达到,并且在总气体和液体注射率为0.25Ωcm的液体注射率下获得最大值 3 / min在没有油的情况下,泡沫的气体分数流量比为0.8。油的存在降低了泡沫迁移率降低因子( f 先生 )与不同程度不同 f 先生 - 没有石油 / f 先生 - 用油 范围从4.25-13.69,表明油对泡沫质地有不利影响。泡沫洪水成功地生产了ooIP的额外8.1-21.52℃,这可以归因于增加压力梯度和油传输机制的综合效果。

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