Robotics & Machine Learning Daily News2024,Issue(Jun.10) :11-12.

Qingdao University of Technology Researchers Illuminate Research in Machine Lear ning (Enhancing Oil-Water Flow Prediction in Heterogeneous Porous Media Using Ma chine Learning)

青岛工业大学研究人员在机器学习(利用Ma Chine Learning增强非均质多孔介质中油水流动预测)方面的研究

Robotics & Machine Learning Daily News2024,Issue(Jun.10) :11-12.

Qingdao University of Technology Researchers Illuminate Research in Machine Lear ning (Enhancing Oil-Water Flow Prediction in Heterogeneous Porous Media Using Ma chine Learning)

青岛工业大学研究人员在机器学习(利用Ma Chine Learning增强非均质多孔介质中油水流动预测)方面的研究

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-调查人员发布了关于人工智能的新报告。据中国人民日报青岛新闻报道,NewsRx记者报道,研究表明:"多孔介质中两相流动的快速准确预测是油田开发的一个关键挑战,对优化和决策过程产生重大影响"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news originating from Qingdao, People’s Repu blic of China, by NewsRx correspondents, research stated, “The rapid and accurat e forecasting of two-phase flow in porous media is a critical challenge in oil f ield development, exerting a substantial impact on optimization and decision-mak ing processes.”

Key words

Qingdao University of Technology/Qingda o/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Lea rning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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