首页|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)
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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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.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChina University of Petrole um
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