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Updated: Sep 15, 2025

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography
08:02

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

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在高水切割油库的地力学风险下,使用人工智能方法对CO2注入的多目标优化

Fankun Meng1,2,3, Jia Liu4,5,6, Gang Tong7

  • 1Key Laboratory of Drilling and Production Engineering for Oil and Gas, Wuhan, 430100, Hubei, China. mengfk@yangtzeu.edu.cn.

Scientific reports
|July 15, 2025
PubMed
概括

这项研究引入了一种混合人工智能框架,以优化二氧化碳注入,以最大限度地回收和封存石油,同时最大限度地减少故障滑动等地力学风险. 该模型显示长短期内存 (LSTM) 和NSGA-II在高水切割场景中提供了卓越的性能.

关键词:
碳二氧化碳的封存方式欧洲经济论坛 欧洲经济论坛地质化学风险 地质化学风险高水切割油库的高水切割油库.这是LSTM的LSTM.多目标优化多目标优化

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