主要参数对基于LBM的自发浸泡过程的影响
Tianju Wang1, Hongsheng Guo2, Li Lu3
1CPOE Research Institute of Engineering Technology, Tianjin, China.
PloS one
|September 2, 2025
概括
在密集的石油/天然气储中,水浸透通过取代碳化合物来增强回收. 这项研究揭示了连接性显著影响沉浸速度,而毛细血管数量则是页岩中油位移效率的关键.
科学领域:
- 石油工程
- 地质科学
- 化学工程
背景情况:
- 对于从紧密的油库中提升石油和天然气的回收,水浸透至关重要.
- 了解自发浸泡动力学对于从页岩中提取碳化合物的优化至关重要.
研究的目的:
- 调查关键无维度参数对紧密页岩中的自发浸泡的影响.
- 确定孔尺度特征对浸泡速度和油位移效率的影响.
主要方法:
- 来自真实的页岩样本的孔隙分布分析.
- 研究四个主要无维度参数对自发浸泡的影响.
主要成果:
- 孔隙连接性对平均浸泡速度的影响最大.
- 发现毛细血管数量对油位效率的影响最大.
- 研究参数的影响非单调,表明复杂的相互作用.
结论:
- 孔连接性和毛细血管数量是控制紧密页岩水库浸泡和排离的关键因素.
- 优化回收需要考虑多个无维参数的组合,非单调效应.
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