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Random function preprocessing, least square postprocessing and parallel genetic lumped kinetics method

A stochastic function and least squares technology, applied in the research field of distillate hydrocracking process, can solve problems such as large error, achieve the effect of high degree of agreement and enhanced flexibility

Inactive Publication Date: 2017-05-24
CHINA PETROLEUM & CHEM CORP +1
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Problems solved by technology

[0004] The lumped kinetic model mentioned so far is relatively simple for the division of oil fractions, and it is difficult to describe the complex distribution of raw material fractions and product fractions involved in actual industrial reactions and process experiments with regard to cutting temperature.
In turn, the results of distillate oil cutting and calculation using different cutting schemes have a large error

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  • Random function preprocessing, least square postprocessing and parallel genetic lumped kinetics method
  • Random function preprocessing, least square postprocessing and parallel genetic lumped kinetics method
  • Random function preprocessing, least square postprocessing and parallel genetic lumped kinetics method

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Embodiment Construction

[0066] The specific embodiments of the invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0067] The lumped kinetic method is just one of the relatively effective and feasible mathematical models applied to the hydrocracking or catalytic cracking process. The basic idea of ​​this method is to simplify and divide various oil products involved in the reaction into specific virtual lumped components according to a certain principle, and the division method can be divided according to the boiling point and boiling range of the distillate oil. It can also be divided according to the components of distillate oils (especially four components are more common). The division scheme itself has greater flexibility. Then establish the virtual reaction network of the lumped c...

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Abstract

The invention discloses a random function preprocessing, least square postprocessing and parallel genetic lumped kinetics method and system. The method comprises the steps of obtaining distillate oil mass fraction data and a lumped kinetics equation through a simulated distillation experiment, and determining matrix metadata of a hydrogenation reaction rate matrix; then performing preprocessing, genetic algorithm processing and high-precision finishing processing on the determined matrix metadata through a random function preprocessing method, a genetic algorithm and a nonlinear least square method in sequence to obtain final optimized matrix metadata; and determining a model of the lumped kinetics equation according to the final optimized matrix metadata. According to the method, a plurality of lumped components can be defined for distillate oil raw materials and products, so that the flexibility requirement of product cutting in industrial production is met; the built lumped kinetics model enhances the flexibility for different fraction cutting schemes; and the degree of matching between a distribution curve of the distillate oil mass fraction data calculated through the lumped kinetics model and an experimental result is relatively high.

Description

technical field [0001] The invention relates to the technical field of distillate oil hydrocracking process research, in particular to a random function preprocessing least squares postprocessing parallel genetic lumped dynamics method and system. Background technique [0002] One of the important tasks of the petrochemical industry is to process low-quality, high-impurity, high-dry-point macromolecular crude oil or its pretreated fractions through hydrogenation to produce high-quality, low-impurity, high-value-added Raw materials for various distillate oil products and downstream petrochemical products. Due to the huge fluctuations in the world crude oil price, refined oil price, and the price and demand of downstream petroleum and petrochemical products, oil refining companies must be able to adjust the process parameters of the petroleum refining process in real time and effectively to adapt to crude oil, refined oil and Prices of downstream petrochemical products and ch...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/367G06F2119/18
Inventor 王阔
Owner CHINA PETROLEUM & CHEM CORP
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