Robotics & Machine Learning Daily News2024,Issue(Feb.6) :101-102.DOI:10.1016/j.geoen.2023.212279

New Machine Learning Study Findings Have Been Reported by Investigators at China University of Petroleum (Real-time Prediction of Logging Parameters During the Drilling Process Using an Attention-based Seq2seq Model)

Robotics & Machine Learning Daily News2024,Issue(Feb.6) :101-102.DOI:10.1016/j.geoen.2023.212279

New Machine Learning Study Findings Have Been Reported by Investigators at China University of Petroleum (Real-time Prediction of Logging Parameters During the Drilling Process Using an Attention-based Seq2seq Model)

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Abstract

Research findings on Machine Learning are discussed in a new report. According to news originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years, there has been a notable upsurge within the drilling industry regarding the construction of machine learning models that leverage logging parameters to augment decision-making processes. When building these models, the logging parameters are usually assumed to be fully accessible.” Funders for this research include National Science Fund for Distinguished Young Scholars, National Key Research and Development Project of China, China Scholarship Council.

Key words

Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/China University of Petroleum

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量60
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