在不同温度下,HPAM溶液的简单的风湿曲线模型
Eduar Pérez1, Dario Alviso2,3, Mauricio Carmona4
1Department of Mechanical Engineering, Universidad del Norte, Barranquilla, Colombia. eeperez@uninorte.edu.co.
Scientific reports
|December 31, 2024
概括
一个新的温度依赖模型 (PAMA-T) 准确地预测了部分化聚烯胺 (HPAM) 溶液的形曲线,以在广泛的温度范围内提高油脂回收. 这提高了聚合物泛滥项目的设计和效率.
科学领域:
- 石油工程是石油工程中的一个.
- 聚合物风湿学 聚合物风湿学
- 增强石油回收的方法
背景情况:
- 石油和天然气行业面临着气温上升和资源枯竭的挑战.
- 聚合物泛滥是一种关键的增强石油回收 (EOR) 技术,但需要准确的再生学模型才能有效设计.
- 现有的模型很难在不同温度下准确地预测聚合物溶液的类风学.
研究的目的:
- 开发和验证一种新的温度依赖模型 (PAMA-T),用于预测部分化聚烯胺 (HPAM) 溶液的质性行为.
- 将PAMA技术的适用性扩展到更广泛的温度范围 (298343 K).
- 为了提高形曲线的预测准确度,用于增强的石油回收应用.
主要方法:
- PAMA-T模型是通过扩展PAMA方法来开发的,使用在特定温度下单一的粘度测量.
- 该模型结合了内在粘度的轻微温度依赖性和由功率定律指数,相对粘度和非维切割放松时间定义的总表面.
- 使用训练数据集进行回归分析,并与来自各种来源的实验数据进行验证.
主要成果:
- PAMA-T提供了令人满意的预测,从298K到343K的温度跨越HPAM溶液的形曲线.
- 该模型准确地捕捉了HPAM解决方案在测试的剪切速率范围内 (0.011000s-1) 的剪切稀释行为.
- 模型性能与独立的实验数据集进行了验证,证明了粘度预测的良好一致性.
结论:
- PAMA-T模型提供了一种强大而准确的方法,用于在广泛的温度范围内预测HPAM溶液的类风学.
- 这一进步促进了改进的设计,并减少了聚合物泛滥项目的潜在故障.
- 该方法适用于各种与EOR操作相关的聚合物分子量,度和盐水组成.
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