Researchers from Teesside University Describe Findings in Artificial Intelligence [Modelling Two-phase Z Factor of Gas Condensate Reservoirs: Application of Artificial Intelligence (Ai)]

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Researchers from Teesside University Describe Findings in Artificial Intelligence [Modelling Two-phase Z Factor of Gas Condensate Reservoirs: Application of Artificial Intelligence (Ai)]

机译：蒂赛德大学的研究人员描述发现在人工智能模型凝析油水库的两阶段Z因子:应用人工智能(Ai)]

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By a News Reporter-Staff News Editor at Network Daily News – Researchers detail new data in Artificial Intelligence. According to news originating from Cleveland, United Kingdom, by NewsRx correspondents, research stated, “Accurate estimation of two-phase compressibility factor (Z factor) in gas condensate reservoirs is essential for understanding phase behaviour and reliable simulation studies. Experimental measurements of Z factor in wide operational conditions are cumbersome and costly.”

机译：由一个新闻记者在网络新闻编辑每日新闻)- - -研究人员详细的新数据人工智能。英国来自克利夫兰NewsRx记者,研究指出:“准确估计两阶段压缩系数(Z因素)凝析油水库是至关重要的理解阶段行为和可靠仿真研究。Z因子在广泛的操作条件繁琐和昂贵的。”

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《Network Daily News》 |2022年第14期|84-85|共2页
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正文语种英语
中图分类 TP-778;
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Artificial Intelligence; Neural network; Cleveland OhioGAS CONDENSATE RESERVOIRInventionsnewsNetworkUnited KingdomMachine Learning;

机译：人工智能;神经网络;克利夫兰OhioGAS CONDENSATERESERVOIRInventionsnewsNetworkUnitedKingdomMachine学习;

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Researchers from Teesside University Describe Findings in Artificial Intelligence [Modelling Two-phase Z Factor of Gas Condensate Reservoirs: Application of Artificial Intelligence (Ai)]

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