首页|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)
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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NETL
NSTL
Elsevier
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.
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningChina University of Petroleum
NETL
NSTL
Elsevier
