首页|Findings from China University of Geosciences Beijing in Machine Learning Report ed (Interactive Machine Learning for Segmenting Pores of Sandstone In Computed T omography Images)
Findings from China University of Geosciences Beijing in Machine Learning Report ed (Interactive Machine Learning for Segmenting Pores of Sandstone In Computed T omography Images)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “In the realm of gas fielddevel opment and CO2/H2 geological storage, the precise characterization of reservoir parameters standsas a critical role. In recent years, digital rock technology h as emerged as a cutting-edge tool for examiningmicro-pore structures, permeabil ity parameter characteristics, and reservoir flow mechanisms.”
BeijingPeople’s Republic of ChinaAsi aComputed TomographyCyborgsEmerging TechnologiesImaging TechnologyMach ine LearningTechnologyChina University of Geosciences Beijing
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