A real-time prediction method for the yield of atmospheric and vacuum distillation equipment
A technology of atmospheric and vacuum distillation and atmospheric and vacuum devices, which is used in neural learning methods, special data processing applications, instruments, etc.
Active Publication Date: 2018-02-13
EAST CHINA UNIV OF SCI & TECH
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In addition, since the petroleum fraction is an extremely complex mixture, it is obviously impossible and unnecessary to carry out the simulation calculation of the petroleum fraction on a component-by-component basis
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[0036] Below in conjunction with chart specifically introduces the realization method of the present invention:
[0037] 1. Mechanism modeling of atmospheric and vacuum distillation
[0038] Atmospheric and vacuum devices are mainly composed of initial distillation tower, atmospheric tower and vacuum tower. The working principle of these towers is the equilibrium separation of gas and liquid, and the required products are obtained through rectification. Distillation is a unit operation that uses the difference in volatility of components in a liquid mixture to separate key components. The rectification unit consists of a rectification column, a condenser and a reboiler, etc., such as figure 2 shown.
[0039] When establishing the model of the rectification column, the condenser of the main column is defined as the first theoretical plate, counted from top to bottom, and the bottom theoretical plate at the bottom of the main column is the reboiler (if any), N s is the total...
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The invention discloses a real-time prediction method for the yield of an atmospheric and vacuum distillation device. The data reconciliation technology is used to process the real-time data on site, combined with the improved differential evolution algorithm, the model parameters of the rectification process are corrected in real time to ensure that the established The model can adapt to different production conditions and realize the process simulation of actual working conditions. On the basis of the corrected model, the influence of key operating / process conditions on the yield and properties of the distillation column side product is analyzed. According to the impact of these operating variables on the product yield, combined with neural network modeling technology, the operating conditions are associated with the yield of key products of the atmospheric and vacuum distillation unit, and the corresponding yield of key products of the atmospheric and vacuum distillation unit that conforms to the production operation is generated , to realize real-time prediction of device yield. This invention can quickly update the yield data of the crude oil distillation unit in other optimization models (such as planning optimization PIMS model and scheduling optimization ORION model) in real time and improve the optimization accuracy of planning models such as PIMS model.
Description
technical field [0001] The invention relates to a method for real-time prediction of the yield of an atmospheric and vacuum distillation device based on mechanism and operating characteristics. The method can be used for modeling and simulation of the atmospheric and vacuum distillation process, real-time correction of the model, and PIMS production planning optimization model / Orion scheduling optimization Models are built in real time. Background technique [0002] Atmospheric and vacuum equipment is the primary production link of the entire oil refining industry, among which the initial distillation tower, atmospheric tower and vacuum tower are the key equipment of the atmospheric and vacuum equipment, responsible for completing the main process of crude oil primary processing. The atmospheric and vacuum unit directly processes the desalted crude oil, with the purpose of cutting the crude oil into products of various fractions. A lot of energy is consumed in the process. ...
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IPC IPC(8): G06F19/00G06N3/02G06N3/08
Inventor 钱锋隆建杨明磊杜文莉钟伟民
Owner EAST CHINA UNIV OF SCI & TECH