种渣油延迟焦化过程中收率实时预测方法

本发明公开了种渣油延迟焦化过程中收率实时预测方法。该方法结合延迟焦化反应器特点,建立轴向绝热反应器的数学模型。基于物料平衡、热量平衡原理对收集的装置实时数据进行处理,结合智能优化算法,对延迟焦化反应动力学参数进行实时校正,使机理模型能够精确描述装置实际运行情况。在精确机理模型基础上,分析关键操作/工艺条件,对延迟焦化产品收率的影响,结合神经网络建模技术,将操作条件与收率数据之间进行关联,建立收率代理模型,提高收率数据计算速度。根据收率影响趋势进行分段线性化,求解线性方程,获得PIMS计划模型中相应的Delta-Base收率数据,实现延迟焦化装置收率实时预测,为建立精确的计划优化PIMS模型提供...

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Format Patent
LanguageChinese
Published 01.03.2019
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Summary:本发明公开了种渣油延迟焦化过程中收率实时预测方法。该方法结合延迟焦化反应器特点,建立轴向绝热反应器的数学模型。基于物料平衡、热量平衡原理对收集的装置实时数据进行处理,结合智能优化算法,对延迟焦化反应动力学参数进行实时校正,使机理模型能够精确描述装置实际运行情况。在精确机理模型基础上,分析关键操作/工艺条件,对延迟焦化产品收率的影响,结合神经网络建模技术,将操作条件与收率数据之间进行关联,建立收率代理模型,提高收率数据计算速度。根据收率影响趋势进行分段线性化,求解线性方程,获得PIMS计划模型中相应的Delta-Base收率数据,实现延迟焦化装置收率实时预测,为建立精确的计划优化PIMS模型提供理论支撑。 The invention discloses a yield real-time prediction method in the residual oil delayed coking process. The method combines features of a delayed coking reactor, and a mathematical model of an adiabatic reactor in the axial direction is established. Based on the material balance principle and the thermal balance principle, processing is conducted on collected device real-time data, an intelligent optimization algorithm is combined, real-time correction is conducted on delayed coking reaction kinetic parameters, and a mechanism model can accurately describe device actual operation conditions. Based on the accurate mechanism model, the influence of key operation and technological conditions on the yield of dela
Bibliography:Application Number: CN20151136701