首页|Studies from China University of Petroleum (East China) Describe New Findings in Machine Learning (Fluid Identification With Graph Transformer Using Well Loggin g Data)
Studies from China University of Petroleum (East China) Describe New Findings in Machine Learning (Fluid Identification With Graph Transformer Using Well Loggin g Data)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news originating from Shandong, Peop le’s Republic of China, by NewsRx editors, the research stated, “The prediction of fluid through well logging is a cornerstone in guiding exploratory efforts in the energy sector. Comprehending the fluid composition beneath the surface empo wers exploration teams to effectively gauge the extent, reserves, and caliber of oil and gas resources.”
ShandongPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningChina University of Petrol eum (East China)
NETL
NSTL
