Investigators at University of Electronic Science and Technology ofChina Descri be Findings in Machine Learning (A Novel ApproachTo the Automatic Classificatio n of Wireline Log-predicted Sedimentary Microfacies Based On Object Detection)

Robotics & Machine Learning Daily News2024，Issue(Apr.18) ：55-55.

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Investigators at University of Electronic Science and Technology ofChina Descri be Findings in Machine Learning (A Novel ApproachTo the Automatic Classificatio n of Wireline Log-predicted Sedimentary Microfacies Based On Object Detection)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reporting outof Chengdu, People’s Republic of China, by NewsRx editors, research stated, “The wireline log predictionof sedi mentary microfacies plays a significant role in sedimentary study. It is mainly achieved through themanual interpretation of wireline logs according to the dif ferences of sedimentary microfacies in wirelinelog shapes.”

Key words

Chengdu/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/University of Electronic Sc ience and Technology of China

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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