Robotics & Machine Learning Daily News2024,Issue(Dec.3) :151-152.

Reports on Machine Learning Findings from Polish Academy of Sciences Provide New Insights (Application of machine learning for reconstruction of multiphase flui d structure measured by a capacitance multi-electrode sensor)

波兰科学院关于机器学习结果的报告提供了新的见解(机器学习在电容多电极传感器测量的多相流体结构重建中的应用)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :151-152.

Reports on Machine Learning Findings from Polish Academy of Sciences Provide New Insights (Application of machine learning for reconstruction of multiphase flui d structure measured by a capacitance multi-electrode sensor)

波兰科学院关于机器学习结果的报告提供了新的见解(机器学习在电容多电极传感器测量的多相流体结构重建中的应用)

扫码查看

摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的研究结果在一份新的报告中讨论。根据对于NewsRx记者从波兰格但斯克进行的新闻报道,研究表明,“非侵入性实时”储层流体相含量的测定在油气工业中具有很大的优势并仍然是当前的研究主题。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on artificial intell igence are discussed in a new report. Accordingto news reporting from Gdansk, P oland, by NewsRx journalists, research stated, “Non-invasive real-timemeasureme nts of phase content in the reservoir fluid are highly advantageous in the oil a nd gas industryand remain a current research topic.”

Key words

Polish Academy of Sciences/Gdansk/Pola nd/Europe/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文