相关实验视频

Updated: Jun 7, 2025

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
12:18

Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography

Published on: October 21, 2018

13.8K

通过强大的机器学习方法,精确地建模原油和盐水的界面张力

Chunyan Liu1, Jing Wang2, Jinshu Wang2

  • 1Department of Petroleum Engineering, Hebei Petroleum University of Technology, Chengde, 067000, Hebei, China. 17783103703@163.com.

Scientific reports
|November 20, 2024
PubMed
概括

这项研究开发了机器学习模型,使用现实的条件预测盐水和原油之间的界面张力 (IFT). 决策树对于估计IFT非常准确,有助于加强石油回收 (EOR) 努力.

关键词:
智能建模智能建模机器学习 机器学习相关性因素是相关性的因素.水原油IFT IFT的水原油

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