首页|New Study Findings from China University of Petroleum Illuminate Research in Mac hine Learning (Reservoir evaluation using petrophysics informed machine learning : A case study)
New Study Findings from China University of Petroleum Illuminate Research in Mac hine Learning (Reservoir evaluation using petrophysics informed machine learning : A case study)
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 DailyNews Daily News – Investigators discuss new findings in artificial intelligence. According to news originatingfrom Beijing, People’s Re public of China, by NewsRx editors, the research stated, “We propose a novelmac hine learning approach to improve the formation evaluation from logs by integrat ing petrophysicalinformation with neural networks using a loss function.”
China University of PetroleumBeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learni ng