Robotics & Machine Learning Daily News2024,Issue(Apr.25) :71-72.

Studies from China University of Petroleum Update Current Data on Machine Learni ng (Investigation of Hydraulic Fracture Propagation In Conglomerate Rock Using D iscrete Element Method and Explainable Machine Learning Framework)

Robotics & Machine Learning Daily News2024,Issue(Apr.25) :71-72.

Studies from China University of Petroleum Update Current Data on Machine Learni ng (Investigation of Hydraulic Fracture Propagation In Conglomerate Rock Using D iscrete Element Method and Explainable Machine Learning Framework)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Beijing, People’s Repu blic of China, by NewsRx journalists, research stated, “Conglomeratereservoirs are important oil and gas resources that require hydraulic fracturing for stimul ation. However, theheterogeneity of conglomerate rocks causes fractures to prop agate irregularly, complicating the fracturingdesign.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/China University of Petrole um

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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