关于微观孔隙结构特征在紧密的砂岩中对聚合物洪水后微观剩余石油的影响的研究
Ling Zhao1, Xianda Sun2, Huili Zhang1
1College of Computer and Information Technology, Northeast Petroleum University, Daqing 163318, China.
Polymers
|October 16, 2024
概括
这项研究使用数字毛孔网络模型来分析毛孔结构如何影响聚合物淹没后的残留油回收. 优化毛孔大小,协调数,毛孔 - 喉比率和可湿性显著提高了油的回收率.
科学领域:
- 石油工程是石油工程中的一个.
- 储水库工程 储水库工程
- 孔尺度物理学的物理
背景情况:
- 全球石油需求的增加需要提高现有油田的回收率.
- 剩余油和仍然是一个挑战,需要用于增强石油回收 (EOR) 的先进方法.
- 了解孔尺度机制对于优化聚合物泛滥效率至关重要.
研究的目的:
- 研究孔隙结构参数对残留油分布和聚合物泛滥后回收的影响.
- 开发和使用数字孔网模型来模拟和分析这些效应.
- 为优化 EOR 策略提供量化基础.
主要方法:
- 数字毛孔网络模型的构建.
- 使用3DMAX-9.0软件对洪水后状态进行3D可视化.
- 孔腔大小分布的定量分析,协调数,孔腔-喉比率和可湿性.
主要成果:
- 孔径分布的变化改变了残留油的形态 (例如,从集群到柱状).
- 增加的协调数增加了透性,减少了剩余油 (例如,回收率从24.57%上升到30.44%).
- 较高的孔喉比率降低了透性,并捕获了更多的剩余油 (例如,回收率从74.34%降至63.72%).
- 向水湿条件的转变促进了剩余油的回收 (例如,回收从35.63%增加到51.35%).
结论:
- 数字毛孔网络模型根据毛孔结构准确地预测了剩余油的分布.
- 孔隙结构参数显著影响聚合物浸效率和整体石油回收.
- 这些发现为优化成熟油田的剩余石油回收战略提供了关键的基础.
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