首页|Research from Southern University of Science and Technology (SUSTech) Provides N ew Study Findings on Machine Learning (An interpretable ensemble machine learnin g workflow for permeability predictions in tight sandstone reservoirs using logg ing ...)
Research from Southern University of Science and Technology (SUSTech) Provides N ew Study Findings on Machine Learning (An interpretable ensemble machine learnin g workflow for permeability predictions in tight sandstone reservoirs using logg ing ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting from Shenzhen, Peo ple's Republic of China, by NewsRx journalists, research stated, “Tight sandston e reservoirs exhibit strong vertical heterogeneity and complex pore structures, challenging conventional permeability evaluation methods based on well logging d ata.”
Southern University of Science and Techn ology (SUSTech)ShenzhenPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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