催化裂化柴油深度加氢脱硫反应动力学模型的研究  

STUDY ON KINETIC MODELS FOR DEEP HYDRODESULFURIZATION OF LCO

作　　者：黄海涛[1] 齐艳华[1] 石玉林[1] 李大东[1] 

机构地区：[1]石油化工科学研究院

出　　处：《石油炼制与化工》1999年第1期55-59,共5页Petroleum Processing and Petrochemicals

摘　　要：以催化裂化柴油为原料，在滴流床反应器中，考察了温度、压力、空速、氢油比等操作参数对ＲＮ－１催化剂深度加氢脱硫反应活性的影响，建立了催化裂化柴油加氢脱硫反应的表观动力学模型，并在此基础上，以神经网络的计算手段研究了原料油性质对脱硫反应的影响。结果表明，神经网络系统对试验数据的处理有很好的准确性，对新原料油试验结果的预测有较好的可靠性。The effects of process parameters, such as temperature, pressure, space velocity and the ratio of hydrogen to feed oil, on deep hydrodesulfurization (HDS) of LCO from FCC over RN 1 catalyst were studied. Based on pilot plant data, the kinetic models for deep HDS of LCO were established. An artificial neural network was created to identify the complicated relationship between properties of feeds and their HDS performances. The results showed that the network was able to accurately simulate the experimental data and the predictions given by this network were reliable.

关 键 词：催化裂化 柴油 数学模型 加氢脱硫 动力学 

分 类 号：TE624.5[石油与天然气工程—油气加工工程] TE626.24