Robotics & Machine Learning Daily News2024,Issue(Nov.15) :95-96.

Suez University Reports Findings in Machine Learning (A supervised machine learn ing model to select a cost-effective directional drilling tool)

苏伊士大学报告了机器学习的发现(一种有监督的机器学习模型,以选择成本效益高的定向钻具)

Robotics & Machine Learning Daily News2024,Issue(Nov.15) :95-96.

Suez University Reports Findings in Machine Learning (A supervised machine learn ing model to select a cost-effective directional drilling tool)

苏伊士大学报告了机器学习的发现(一种有监督的机器学习模型,以选择成本效益高的定向钻具)

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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-机器学习的新研究是一篇报道的主题。据新闻报道NewsRx编辑从埃及苏伊士发回的报道称,“随着定向钻井的增加”石油和天然气行业的活动,加上所有工业方面的数字革命,优化所有规划和运营的DRI活动的需求变得越来越高。重要的一步规划定向井是指选择一种能够以成本效益高的方式交付油井的定向工具。这项研究的财政支持来自埃及未来大学。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Suez, Egypt, by NewsRx editors, research stated, “With the increased directional drillingactivities i n the oil and gas industry, combined with the digital revolution amongst all ind ustry aspects, the need became high to optimize all planning and operational dri lling activities. One important step inplanning a directional well is to select a directional tool that can deliver the well in a cost-effective manner.”Financial support for this research came from Future University in Egypt.

Key words

Suez/Egypt/Cyborgs/Emerging Technolog ies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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