首页|China University of Petroleum (East China) Reports Findings in Machine Learning (Prediction Method for Formation Pore Pressure Based On Transfer Learning)
China University of Petroleum (East China) Reports Findings in Machine Learning (Prediction Method for Formation Pore Pressure Based On Transfer Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been prese nted. According to news reporting out of Qingdao, People’s Republic of China, by NewsRx editors, research stated, “Pore pressure prediction of drilled wells is the recognition of formation information using logging and other actual drilling data after drilling is completed, which is of great significance in improving t he mastery of regional formation information and reducing the potential risks of the engineering program of wells to be drilled. Traditional formation pressure prediction methods rely on manual experience and are difficult to cope with comp lex formations.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Shandong Province, Taishan Sch olars Program of Shandong Province, Youth Innovation and Technology Support Prog ram for Shandong Provincial Universities.
Qingdao, People’s Republic of China, Asi a, Algorithms, Cyborgs, Emerging Technologies, Machine Learning, China Universit y of Petroleum (East China)
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