Findings on Machine Learning Reported by Investigators at University of North Da kota (Determination of Gas-oil Minimum Miscibility Pressure for Impure Co2 Throu gh Optimized Machine Learning Models)

Robotics & Machine Learning Daily News2024，Issue(Nov.5) ：127-128.

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Findings on Machine Learning Reported by Investigators at University of North Da kota (Determination of Gas-oil Minimum Miscibility Pressure for Impure Co2 Throu gh Optimized Machine Learning Models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning.According to news reporting out of Grand Forks, North Dakota, by News Rx editors, research stated, “Minimum miscibility pressure (MMP) is one of the m ost important parameters for designing CO2 enhanced oil recovery (EOR) and assoc iated storage in depleted oil reservoirs.The injection gas stream often contain s a certain concentration of impurities such as N2, H2S, and CH4 depending on th e source of CO2.”

Key words

Grand Forks/North Dakota/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/U niversity of North Dakota

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出版年

2024

Robotics & Machine Learning Daily News

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