首页|Findings from China University of Petroleum (East China) Provides New Data on Ma chine Learning (Oil- Water Flowing Experiments and Watercut Range Classification Approach Using Distributed Acoustic Sensing)
Findings from China University of Petroleum (East China) Provides New Data on Ma chine Learning (Oil- Water Flowing Experiments and Watercut Range Classification Approach Using Distributed Acoustic Sensing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting from Qingdao, People’s Republic of C hina, by NewsRx journalists, research stated, “The accurate measurement of dynam ic water cut is of great interest for analyzing reservoir performance and optimi zing oilwell production. Downhole water- cut measurement is a very challenging w ork.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).
QingdaoPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningChina University of Petrole um (East China)