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Process Simulation, Optimization, and Property Control of FCCU Main Fractionator

Author: WangRui
Tutor: LiQingSong；ZhaoHui
School: China University of Petroleum
Course: Chemical Engineering and Technology
Keywords: FCC main fractionator Process Simulation Virtual component Soft Measurement
CLC: TE624.41
Type: Master's thesis
Year: 2011
Downloads: 155
Quote: 0
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Abstract


FCC is our second most important refinery process , bear most of our gasoline and diesel light oil supplies. Based on the main refinery FCC gasoline fractionator prolific goal , the use of process simulation software Aspen Plus establish the main fractionator mechanism model , the main fractionator simulated. According to the simulation results , analyze the main fractionator operating parameters on the impact of gasoline production and use of the proceeds of the tower simulate gas-liquid phase load and physical data on the main fractionator tower school board conducted a hydraulic core . Gasoline endpoint is the main fractionation column overhead product is an important indicator of the control , the control is to ensure that the crude gasoline endpoint qualified primary means of petroleum products . Currently gasoline endpoint usually after 4 hours or 8 hours of off-line sampling and analysis methods , time delay is greater ; small refineries using online analytical instruments measured but online instrument measuring equipment investment is large and difficult to maintain, but there are also ten a few minutes' delay , it is difficult to provide real-time quality information as a quality control feedback signal. Soft-sensing technologies emerge effectively alleviate this problem , but now for the crude gasoline endpoint soft sensor model mostly empirical modeling method used to establish the black-box model , explanatory and less versatile . To explore solutions to this problem , the paper through the analysis of raw gasoline virtual components , the crude gasoline endpoint near the critical virtual component content and cross- component of gasoline and diesel and gasoline endpoint respectively correlate to establish two gasoline endpoint mechanism model , the results show two models agree well with the field tests . Use resulting crude gasoline endpoint two models were the key components and the gasoline and diesel virtual cross- component output as BP neural network , BP neural network to establish a crude gasoline endpoint hybrid model , and according to the simulation results with a simple BP neural network modeling experience results were compared to prove the effect mixed model modeling experience an improvement compared .

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CLC: > Industrial Technology > Oil and gas industry > Oil, natural gas processing industry > Petroleum refining > The refining process > Catalytic converter > Catalytic cracking
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