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Experimental Investigation of Dynamic Adsorption-Desorption of New Nonionic Surfactant on Carbonate Rock: Application to Enhanced Oil Recovery

机译:新型非离子表面活性剂在碳酸盐岩上动态吸附-解吸的实验研究:在提高采收率中的应用

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Surfactants have the potential to reduce the interfacial tension between oil and water and mobilize the residual oil. An important process which makes the surfactant injection to be less effective is loss of surfactant to porous medium during surfactant flooding. This study highlights the results of a laboratory study on dynamic adsorption and desorption of Trigoonella foenum-graceum (TFG) as a new nonionic surfactant. The experiments were carried out at confining pressure of 3000 psi and temperature of 50℃. Surfactant solutions were continuously injected into the core plug at an injection rate of 0.5 mL/min until the effluent concentration was the same as initial surfactant concentration. The surfactant injection was followed by distilled water injection until the effluent surfactant concentration was reduced to zero. The effluent concentrations of surfactant were measured by conductivity technique. Results showed that the adsorption of surfactant is characterized by a short period of rapid adsorption, followed by a long period of slower adsorption, and also, desorption process is characterized by a short, rapid desorption period followed by a longer, slow desorption period. The experimental adsorption and desorption data were modeled by four well-known models (pseudo-first-order, pseudo-second-order, intraparticle diffusion, and Elovich models). The correlation coefficient of models revealed that the pseudo-second-order model predicted the experimental data with an acceptable accuracy.
机译:表面活性剂具有降低油和水之间的界面张力并移动残余油的潜力。使表面活性剂注入效率降低的重要过程是在表面活性剂驱入过程中表面活性剂向多孔介质的损失。这项研究强调了一项关于作为一种新的非离子表面活性剂的风铁皮草-古草(TFG)的动态吸附和解吸的实验室研究结果。实验是在3000 psi的封闭压力和50℃的温度下进行的。将表面活性剂溶液以0.5 mL / min的注入速率连续注入岩心塞中,直到流出物浓度与表面活性剂初始浓度相同。注入表面活性剂之后再注入蒸馏水,直到流出的表面活性剂浓度降低至零。通过电导率技术测量表面活性剂的流出浓度。结果表明,表面活性剂的吸附的特征是短时间的快速吸附,随后是较长的较慢的吸附,并且解吸过程的特征是较短的快速解吸时间,然后是较长的缓慢的解吸时间。实验吸附和解吸数据由四个众所周知的模型(伪一级,伪二级,颗粒内扩散和Elovich模型)建模。模型的相关系数表明,伪二级模型以可接受的精度预测了实验数据。

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