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聚合物泛滥的构成流线模型,包括 Rheology, Retention 和盐度变化
Francisco Javier Rosado-Vázquez1, Fernando Rodríguez-De la Garza1, Simón López-Ramírez1,2
1Facultad de Ingeniería, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
ACS omega
|October 16, 2023
概括
一个新的2D精简模型通过模拟聚合物洪水来简化化学增强石油回收 (CEOR). 这种工具可以有效地预测油的回收,考虑复杂的因素,如质和吸附,帮助现场应用选.
科学领域:
- 石油工程是石油工程中的一个.
- 储水池模拟器 储水池模拟器
- 增强石油回收的方法
背景情况:
- 聚合物泛滥是一种广泛使用的化学增强石油回收 (CEOR) 技术,在不利的水库条件下面临挑战.
- 目前用于聚合物泛滥的预测工具通常耗时,需要详细的水库模拟.
- 需要有效的选工具来捕捉关键的物理化学现象,以便有效的项目管理.
研究的目的:
- 根据流线方法开发一个实用的二维 (2D) 聚合物洪水模型.
- 创建一个有效选聚合物泛滥应用程序的工具,而不牺牲关键的物理化学现象.
- 为了提供一个更快的替代传统的,耗时的聚合物泛滥的水库模拟.
主要方法:
- 开发了一种基于流线的2D模型,包括剪切薄化/厚化病理学,盐度变化,透性降低和聚合物吸附.
- 使用黑油配方进行压力和和分布,加上明确的成分计算.
- 对实验室实验,分析结果,现场规模模拟和CMG-STARS参考模型进行了模型验证.
主要成果:
- 开发的精简模型有效地整合了关键的聚合物泛滥现象,比现有的模拟器提供了更完整的描述.
- 沿着流线的1D工具准确地表示了聚合物泛滥的关键物理化学行为.
- 该模型证明了其能够简化从实验室到现场的升级,并确定有利的应用场景.
结论:
- 基于流线的2D模型为选聚合物泛滥应用提供了良好的快速工具.
- 这种方法有助于理解参数对石油回收的影响,而不需要广泛的CEOR模拟.
- 开发的工具有助于更好的数字模型,并支持成本效益高的现场应用决策.
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