Robotics & Machine Learning Daily News2024,Issue(Nov.12) :41-42.

Studies from University of Melbourne Update Current Data on Artificial Intellige nce (Artificial Intelligence for Drilling Lost Circulation: a Systematic Literat ure Review)

墨尔本大学的研究更新了人工智能NCE的最新数据(钻井漏失的人工智能:系统文献综述)

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :41-42.

Studies from University of Melbourne Update Current Data on Artificial Intellige nce (Artificial Intelligence for Drilling Lost Circulation: a Systematic Literat ure Review)

墨尔本大学的研究更新了人工智能NCE的最新数据(钻井漏失的人工智能:系统文献综述)

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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-人工智能的新研究是一篇报道的主题。根据NewsRx记者从澳大利亚梅尔博·乌恩进行的新闻报道,研究称,“一个”井漏是钻井施工的主要障碍。大量的非生产时间(NPT)是由于钻井过程中液体无意流入地层造成的或初始固井。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According tonews reporting originating from Melbo urne, Australia, by NewsRx correspondents, research stated, “Onemajor obstacle in well construction and drilling is the problem of lost circulation. Large amou nts ofnonproductive time (NPT) are caused by the unintentional flow of fluids i nto the formation during drillingor initial cementing.”

Key words

Melbourne/Australia/Australia and New Zealand/Artificial Intelligence/Emerging Technologies/Machine Learning/Unive rsity of Melbourne

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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