物理导向的变压器网络用于可解释的气油相对透性在多孔介质的预测

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Mohammadali Ahmadi1

  • 1Department of Chemical and Petroleum Engineering, Sharif University of Technology (SUT), Tehran, Iran. maahmadi@sharif.edu.

Scientific reports
|November 29, 2025
PubMed
概括

一个新的基于变压器的机器学习模型准确地预测了储库中的天然气和石油相对透率 (Krg,Krog). 这种数据驱动的方法提高了多相流量建模和水库模拟的准确性.

关键词:
增强石油回收能力 增强石油回收能力集合方法 集合方法油气系统 油气系统 油气系统相对透性的相对透性SHAP的解释性可以解释.变压器变压器变压器

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