Studies from China University of Petroleum (East China) Describe New Findings in Machine Learning (Fluid Identification With Graph Transformer Using Well Loggin g Data)

中国石油大学(华东)的研究描述了机器学习(利用测井数据用图形变压器识别流体)的新发现

Robotics & Machine Learning Daily News2024，Issue(Jul.2) ：2-3.

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Studies from China University of Petroleum (East China) Describe New Findings in Machine Learning (Fluid Identification With Graph Transformer Using Well Loggin g Data)

中国石油大学(华东)的研究描述了机器学习(利用测井数据用图形变压器识别流体)的新发现

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-在一份新的报告中讨论了机器学习的研究结果。根据NewsRx编辑的《中华人民共和国山东消息》，这项研究指出：“通过测井预测流体是指导能源勘探工作的基石。了解地表下流体组成有助于勘探团队有效地衡量油气资源的范围、储量和口径。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Shandong, Peop le’s Republic of China, by NewsRx editors, the research stated, “The prediction of fluid through well logging is a cornerstone in guiding exploratory efforts in the energy sector. Comprehending the fluid composition beneath the surface empo wers exploration teams to effectively gauge the extent, reserves, and caliber of oil and gas resources.”

Key words

Shandong/People's Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/China University of Petrol eum (East China)

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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