Real-time yield prediction method for hydrocracking device

Abstract

The invention discloses a real-time yield prediction method for a hydrocracking device. Field real-time data are processed with a data reconciliation technology, and hydrocracking reaction kinetics parameters are corrected in real time in combination with an improved differential evolution algorithm, so that a mechanism model can accurately describe the actual running condition of the device. On the basis of the corrected model, effects caused by key operation / process conditions such as the raw material density, the sulfur content, the nitrogen content, the reaction temperature, the pressure, the hydrogen-to-oil volume ratio and the like on hydrocracked products are analyzed. Piecewise linearization is performed according to the effect trend, a linear equation is solved, corresponding Delta-Base yield data are acquired, the operation condition is associated with the Delta-Base data with a neutral network modeling technology, a yield surrogate model is established, the yield data calculation speed is increased, real-time prediction of the yield of products of the hydrocracking device is realized, and theoretical support is provided for establishing an accurate plan optimization PIMS (process industry modeling system) model.

Description

technical field [0001] The invention relates to a method for real-time prediction of the yield of a hydrocracking unit based on mechanism and operating characteristics. The method can be used for modeling and simulation of the hydrocracking process, real-time correction of the model, and real-time construction of a PIMS production plan optimization model. Background technique [0002] Hydrocracking refers to the hydrogenation, cracking and isomerization reactions of heavy oil under the conditions of heating, hydrogen and catalyst in the process of petroleum refining to generate light oil (naphtha, kerosene, diesel and Hydrogenated tail oil) processing. [0003] Hydrocracking has become an important secondary processing method of crude oil second only to catalytic cracking because of its flexible production process, excellent product quality, and ease of changing production plans with seasonal changes and market demand. The main reasons for its increasing importance and role...

AI Technical Summary

Problems solved by technology

The reason is that the current PIMS models of production planning all use fixed yields, which makes it difficult to accurately describe the actual operation process of the device.

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