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Updated: Jan 7, 2026

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
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在H2 - - CO2 - - CH4 - - 盐系统中介面张力的可解释的高级建模,用于盐水层中可持续的地下储存

Saad Alatefi1, Okorie Ekwe Agwu2, Menad Nait Amar3

  • 1Department of Petroleum Engineering Technology, College of Technological Studies, PAAET, Kuwait City 70654, Kuwait.

Journal of contaminant hydrology
|December 30, 2025
PubMed
概括

一个新的机器学习模型准确地预测了地下储存的界面张力,这对于安全高效的低碳能源系统至关重要. 这种人工智能工具提高了储备的可靠性.

关键词:
缓冲气体是一种缓冲气体.可解释的人工智能气 气 是一种气.介面张力之间的张力.机器学习 机器学习地下储存的地下储存.

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