在这项工作中,使用 2-巯基苯并咪唑 (2-MBI) 通过实验和建模方法评估了碳钢在 1 摩尔 HCl 溶液中的缓蚀作用。为此,进行了使用响应面法(RSM)的失重法的实验设计,并测定了腐蚀速率(CR)和抑制效率(IE)。该研究是在不同的温度、暴露时间和抑制剂浓度下完成的,以确定最佳的腐蚀条件。利用 2-MBI 腐蚀速率和抑制效率的实验数据,开发了新模型,并使用 ANOVA 方差分析测试了其显着性。开发的基于 RSM 的 CR 和 IE 模型具有高精度和可靠性,并且其P-值小于 0.0001。本研究的新颖性在于新开发的2-MBI抑制性能评估模型及其在石油工业高温条件下的应用。此外,R 2统计量(R 2、调整R 2和预测R 2)、足够的精度和诊断图被用作主要措施来验证CR 和IE 模型的准确性和充分性。此外,据观察,与其他参数相比,抑制剂浓度对 CR 和 IE 模型的影响最大,因为其最大的F-值(CR 为 561.65,IE 型号为 535.56)。此外,结果表明,在 30-35 °C 的低温下添加 140-150 ppm 的 2-MBI 对缓蚀过程的性能具有最大的交互作用。在这种情况下,即使在 105 小时的高曝光时间之后,CR 仍低于 0.9 mm/y,IE 超过 94%。此外,2-MBI 缓蚀过程的数值优化表明,在浓度为 115 ppm、温度为 30.7 °C、暴露时间为 60.4 小时时,实现了最大 IE 和最小 CR 的最佳条件。在此条件下,效率和腐蚀速率分别为92.76%和0.53 mm/y。最后,研究了不同暴露时间和温度下 2-MBI 在样品表面的吸附情况。在所有情况下,吸附行为服从Langmuir等温线。在这种情况下,吉布斯吸附自由能的变化范围为 - 33 至 - 37 kJ/mol,这反映了缓蚀剂在所有测试温度和测试时间下的物理和化学吸附。
"点击查看英文标题和摘要"
Experimental and modeling analysis on the performance of 2-mercaptobenzimidazole corrosion inhibitor in hydrochloric acid solution during acidizing in the petroleum industry
In this work, the corrosion inhibition of carbon steel in 1 molar HCl solution was evaluated by experimental and modeling approaches using 2-mercaptobenzimidazole (2-MBI). To this end, an experimental design for the weight loss method using response surface methodology (RSM) was carried out and the corrosion rate (CR) and inhibition efficiency (IE) were determined. The study was completed at various values of temperature, exposure time, and inhibitor concentration to determine the optimal conditions for corrosion prevention. Using experimental data on the corrosion rate and inhibition efficiency of 2-MBI, new models were developed, the significance of which was tested using ANOVA-analysis of variance. The developed RSM-based CR and IE models were highly accurate and reliable, and their P-values were less than 0.0001. The novelty of this study lies in the newly developed model for the evaluation of 2-MBI inhibition performance and its application to high-temperature conditions in the petroleum industry. Besides, the R2-statistics (R2, adjusted-R2, and predicted-R2), adequate precision and diagnostic plots were used as main measures to verify the accuracy and adequacy of both CR and IE models. In addition, it was observed that inhibitor concentration had the most impact on both CR and IE models compared to other parameters due to its largest F-values (561.65 for CR and 535.56 for IE models). Moreover, the results indicated that adding 140–150 ppm of 2-MBI at low-level temperatures of 30–35 °C had the most interaction effect on the performance of the corrosion inhibition process. In this case, the CR was less than 0.9 mm/y and the IE more than 94%, even after a high exposure time of 105 h. Furthermore, numerical optimization of the corrosion inhibition process for 2-MBI showed that the optimum conditions for maximum IE and minimum CR were achieved at a concentration of 115 ppm, temperature of 30.7 °C, and exposure time of 60.4 h. Under these conditions, the efficiency and corrosion rate were 92.76% and 0.53 mm/y, respectively. Finally, the adsorption of 2-MBI on the sample surface was studied at various exposure times and temperatures. In all cases, the adsorption behavior obeyed the Langmuir isotherm. In this case, the Gibbs adsorption free energy varied from − 33 to − 37 kJ/mol, which reflects both physical and chemical adsorption of the corrosion inhibitor at all tested temperatures and test times.