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Experimental and modeling investigations of temperature effect on chemical inhibitors of asphaltene aggregation
Journal of Petroleum Science and Engineering Pub Date : 2021-04-26 , DOI: 10.1016/j.petrol.2021.108858
Seyed Mohammad-Amin Hosseini-Moghadam , Ali Zahedi-Nejad , Masoud Bahrami , Mohammad Torkaman , Mohammad-Ali Ghayyem

In this work, both experimental and theoretical procedures were performed to investigate the effect of temperature, ranging from 25 to 65 °C, on the performances of dodecyl benzene sulfonic acid (DBSA), benzoic acid (BA) and salicylic acid (SA) as chemical inhibitors of asphaltene aggregation in an undiluted dead crude oil. DBSA was found the most efficient inhibitor in size reduction of aggregates at all applied temperatures due to its acid-base interactions with asphaltenes. The size reduction by DBSA was 19% compared to free-additive oil at 65 °C. But SA increased asphaltene aggregates size by 2% at 65 °C. The temperature rise significantly accelerates the rate of asphaltene aggregation and so the effectiveness of inhibitors was reduced at high temperatures. The population balance modeling was employed in which a novel size-dependent relation was considered for collision efficiency. Fractal dimension, as an input of the model, was measured from experimental data at different temperatures and time intervals. Due to minor changes in fractal dimensions, an average value of 2.5 was considered for fractal dimension. The modeling results revealed that the collision efficiency is decreased by both efficient inhibitors and decrement of temperature. Considering a size-dependent collision efficiency halved the error of the model on average in comparison to a size-independent collision efficiency.



中文翻译:

温度对沥青质聚集化学抑制剂影响的实验与模型研究

在这项工作中,进行了实验和理论程序,以研究温度在25至65°C之间对十二烷基苯磺酸(DBSA),苯甲酸(BA)和水杨酸(SA)的性能的影响。未稀释的死原油中沥青质聚集的化学抑制剂。由于DBSA与沥青质的酸碱相互作用,在所有应用温度下,DBSA被发现是减小骨料粒度的最有效抑制剂。与65°C时的游离添加剂油相比,DBSA的尺寸减少了19%。但是SA在65°C下使沥青质骨料的粒径增加了2%。温度升高显着加速了沥青质聚集的速率,因此抑制剂的有效性在高温下降低了。采用人口平衡模型,其中考虑了一种新型的尺寸相关关系以提高碰撞效率。分形维数作为模型的输入,是在不同温度和时间间隔下根据实验数据测得的。由于分形维数的微小变化,分形维数的平均值被认为是2.5。建模结果表明,有效的抑制剂和温度降低都会降低碰撞效率。与尺寸无关的碰撞效率相比,考虑尺寸相关的碰撞效率可使模型的误差平均减少一半。分形维数的平均值为2.5。建模结果表明,有效的抑制剂和温度降低都会降低碰撞效率。与尺寸无关的碰撞效率相比,考虑尺寸相关的碰撞效率可使模型的误差平均减少一半。分形维数的平均值为2.5。建模结果表明,有效的抑制剂和温度降低都会降低碰撞效率。与尺寸无关的碰撞效率相比,考虑尺寸相关的碰撞效率可使模型的误差平均减少一半。

更新日期:2021-05-05
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