首页|Researchers at University of Northern British Columbia Release New Data on Machi ne Learning (Influence of Mineralogical Characteristics On Mechanical Properties of Montney Tight Formations Using Instrumented Indentation Test and Sem-eds Ana lysis)
Researchers at University of Northern British Columbia Release New Data on Machi ne Learning (Influence of Mineralogical Characteristics On Mechanical Properties of Montney Tight Formations Using Instrumented Indentation Test and Sem-eds Ana lysis)
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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 Prince George, Canada, by New sRx journalists, research stated, “This study investigates the influenceof mine ralogical characteristics on the mechanical properties of tight formations from the Montney Playin Canada. A series of instrumented indentation tests were cond ucted on rock samples cored at depths of2068-2037 m. The mineralogical characte ristics of the indents from the indentation tests were obtainedfrom scanning el ectron microscopy ( SEM) and energy-dispersive spectroscopy (EDS) analysis.”
Prince GeorgeCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Northe rn British Columbia
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