Robotics & Machine Learning Daily News2024,Issue(Jun.3) :32-33.

Findings from China University of Petroleum (East China) Provides New Data on Ma chine Learning (Oil- Water Flowing Experiments and Watercut Range Classification Approach Using Distributed Acoustic Sensing)

中国石油大学(华东)的研究成果为中国的数学学习提供了新的数据(油水流动实验和分布式声传感含水范围分类方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.3) :32-33.

Findings from China University of Petroleum (East China) Provides New Data on Ma chine Learning (Oil- Water Flowing Experiments and Watercut Range Classification Approach Using Distributed Acoustic Sensing)

中国石油大学(华东)的研究成果为中国的数学学习提供了新的数据(油水流动实验和分布式声传感含水范围分类方法)

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摘要

由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者在青岛的新闻报道,研究表明:“动态含水率的准确测量对于分析油藏动态和优化油井生产具有重要意义,井下含水率测量是一项非常具有挑战性的工作。”本研究经费来源于国家自然科学基金(NSFC)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting from Qingdao, People’s Republic of C hina, by NewsRx journalists, research stated, “The accurate measurement of dynam ic water cut is of great interest for analyzing reservoir performance and optimi zing oilwell production. Downhole water- cut measurement is a very challenging w ork.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Qingdao/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/China University of Petrole um (East China)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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