輕餾分塔 的英文怎麼說

中文拼音 [qīngliùfēn]
輕餾分塔 英文
light ends tower
  • : Ⅰ形容詞1 (重量小; 比重小) light 2 (數量少; 程度淺) small in number degree etc : 年紀很輕 be v...
  • : 餾動詞(蒸熱熟食) heat up; reheat
  • : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
  1. We can get the unqualified light hydrocarbon back to fractional tower to resume fractionating which greatly insures the quality, we combine the science and technology tackle project from da qing natural gas company - the research on microcomputer detection and control system in light hydrocarbon blending crude oil, analyze the machining technology of production device in gas disposing station, study the physical and chemical character of impurity blending in the light hydrocarbon and establish the detection scheme finally

    並讓不合格的產品重新回到中進行重新加工,以確保產品質量。本文結合大慶天然氣公司的科技攻關項目? ?烴含原油微機測控系統研製,對一公司油氣處理站的烴生產設備進行了生產工藝流程析,同時也對烴和混入的原油雜質進行物理和化學性質的析,確立了監控設計方案。
  2. The industrial application showed that the key process parameters, such as the regenerator dense phase temperature and the temperature under the first tray of the fractionator bottom, etc. were obviously improved, which resulted in increasing conversion and light oil yield

    工業實踐表明,應用此控制明顯地改善了對再生催化劑溫度、底第一層板下溫度等關鍵工藝參數的控制,提高了裝置的轉化率與油收率。
  3. The recovery of atmospheric light oil yield of atmospheric in the northern atmospheric distillation tower of shenghua teaching & test factory, science and technology group of china university of petroleum has been increase by about 4 or 5 percent through the following methods : changing the tray perforation of atmospheric tower, adjusting the amount of stripping steam and the outlet temperature of the atmospheric heater and merging atmospheric excess vapor into 3rd atmospheric drawn - stream to keep the fractions content of bottom oil below 5 % before 350

    摘要中國石油大學科技集團勝華教學實驗廠北常減壓蒸裝置換煉勝利管輸油后,通過改變常壓盤開孔率、調節常壓汽提蒸汽量和常壓爐出口溫度、常壓過汽化油併入常三抽出線等措施,控制常壓底油350前含量小於5 % ,使常壓質油收率提高約4 % ~ 5 % 。
  4. To verify the effectiveness of the proposed hybrid fnn, this thesis addressed the estimation problem for the frozen point of light cyclic oil in a fluidized catalytic cracking unit ( fccu ) in a refinery. based on the sample data collected from the industrial unit, we built a soft sensor model by using an above hybrid fnn

    最後,針對某煉油廠催化裂化裝置主柴油凝固點的軟測量估計問題,本文基於工業現場所採集的樣本數據,建立了混合結構神經網路模型,並討論該模型的在線自學習問題,同時與多層前向bp網路、徑向基函數rbf網路模型進行了比較。
  5. A numeric method for computing limiting concentration of light component in the distillate of binary batch distillation under constant reflux ratio and hold - up in the column is introduced

    摘要介紹了採用恆迴流比操作方法,在頂、板持液時,間歇精二元理想混合物,出液中極限濃度的數值計算方法。
  6. Furthermore, the online self - learning problem of soft sensor model was also discussed. finally, the built model was used in an industrial fccu

    在此基礎上,將該混合模型應用於實際工業催化裂化裝置主柴油凝固點的在線估計問題。
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