首页|New Machine Learning Study Findings Recently Were Reported by Researchers at University of Adelaide (Machine Learning Modelling of Dew Point Pressure In Gas Condensate Reservoirs: Application of Decision Tree-based Models)
New Machine Learning Study Findings Recently Were Reported by Researchers at University of Adelaide (Machine Learning Modelling of Dew Point Pressure In Gas Condensate Reservoirs: Application of Decision Tree-based Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originatingfrom Adelaide, Australia, by NewsRx correspondents, research stated, “In gas condensate reservoirs, thedew point pressure (PDew) plays a significant role in gas and liquid assessment, reservoir characterisation,surface facility design, and reservoir simulation. Although field and laboratory measurements of PDew giveaccurate results, both approaches are time-consuming and resource-intensive; hence, a fast and accuratedetermination of PDew is very important.”
AdelaideAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine LearningUniversity of Adelaide
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