New Machine Learning Findings from Yangtze University Described (Application of Machine Learning to Predict the Capacity of Fractured Horizontal Wells in Shale Reservoirs)

介绍了长江大学机器学习的新发现(机器学习在页岩油藏裂缝性水平井产能预测中的应用)

Robotics & Machine Learning Daily News2024，Issue(Dec.3) ：140-140.

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New Machine Learning Findings from Yangtze University Described (Application of Machine Learning to Predict the Capacity of Fractured Horizontal Wells in Shale Reservoirs)

介绍了长江大学机器学习的新发现(机器学习在页岩油藏裂缝性水平井产能预测中的应用)

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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-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编辑在中华人民共和国武汉进行的新闻报道，研究称，“页岩”油井通常在水平段中有许多体积压裂段，导致这些部门的生产力有很大的差异。

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 out of Wuhan, People’s Republic of China, by NewsRx editors, research stated, “Shaleoil wells typically have numerous volume fracturing segments in their horizontal sections , resulting insignificant variability in productivity across these segments.”

Key words

Yangtze University/Wuhan/People’s Repu blic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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