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Application of datamining method (ID3) to data analysis for ultra deep hydrodesulfurization of straight-run light gas oil-determination of effective factor of the feed properties to reaction rate of HDS

机译:数据挖掘方法(ID3)在直馏轻柴油超深度加氢脱硫数据分析中的应用-对HDS反应速率的影响

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摘要

Six lands of straight run light gas oils were tested under various conditions in high pressure fixed bed reactor. First the formula of the corrected WAT (weight average temperature) normalized to the standard conditions was made by trial and error method, using the parameters chosen by the information of literature. Next the analysis of datamining method (ID3) and correlation coefficient were applied. This method is very unique and useful to evaluate the validity of the chosen parameters. The valid parameters of feed properties were density (SpGr), nitrogen content, and the temperature of 90 percent distillation (790) under our experimental conditions.
机译:在高压固定床反应器中的各种条件下测试了六道直馏轻质轻质柴油。首先,使用文献信息选择的参数,通过反复试验法,将归一化为标准条件的校正后的WAT(重均温度)公式化。接下来,对数据挖掘方法(ID3)和相关系数进行了分析。该方法非常独特,可用于评估所选参数的有效性。在我们的实验条件下,进料性能的有效参数是密度(SpGr),氮含量和90%的蒸馏温度(790)。

著录项

  • 来源
    《Fuel》 |2005年第3期|p.279-285|共7页
  • 作者

    N. Kagami; R. Iwamoto; T. Tani;

  • 作者单位

    Idemitsu Kosan Co. Ltd, Manufacturing Department, Petroleum Refining Technology Center, Refining Technology Section 1, 26 Anesakikaigan Ichihara-city, Chiba 299-0107, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 燃料化学工业(总论);
  • 关键词

    Hydrotreating; Diesel; HDS; Catalyst;

    机译:加氢处理;柴油;HDS;催化剂;

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