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Heavy oil pyrolysis process modeling method based on chaotic DNA genetic algorithm

A genetic algorithm and modeling method technology, applied in the field of intelligent optimization modeling, can solve problems such as unsatisfactory results, and achieve the effect of improving poor local search ability, good application and development prospects

Inactive Publication Date: 2018-07-31
HANGZHOU DIANZI UNIV
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Problems solved by technology

However, the chaos optimization method has a significant effect when the search space is small, but its effect is not necessarily satisfactory when the search space is large.

Method used

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  • Heavy oil pyrolysis process modeling method based on chaotic DNA genetic algorithm
  • Heavy oil pyrolysis process modeling method based on chaotic DNA genetic algorithm
  • Heavy oil pyrolysis process modeling method based on chaotic DNA genetic algorithm

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Embodiment Construction

[0028] Taking a three-ensemble reaction process of heavy oil pyrolysis as an example, we will combine figure 1 , clearly and completely describe and discuss the technical solutions in the embodiments of the present invention.

[0029] A three-bulk reaction process of heavy oil pyrolysis is as follows: figure 2 shown. It is assumed that the toluene soluble matter above 510 °C in the residual oil is used as the pyrolysis reaction raw material H, M is the instantaneous intermediate product, W is the middle heavy fraction generated from M, and L is the set of cracked gas, light fraction and condensate As a whole, the secondary reaction of converting W into aggregate L is a first-order reaction. exist figure 2 Among them, z is the sum of the yields of fractions, pyrolysis gas and toluene-insoluble matter produced by H at a temperature lower than 510°C, and y L is the sum of yields of pyrolysis gas, light distillate at 210-390°C and condensation products, and z w is the heavy...

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Abstract

The invention discloses a heavy oil pyrolysis process modeling method based on a chaotic DNA genetic algorithm. In the invention, the DNA genetic algorithm and chaotic optimization calculating are fused; chaotic optimization calculating is performed on an individual with poor performance in the framework of the DNA genetic algorithm; the characteristic that the global search capability of the DNAgenetic algorithm is high is reserved and simultaneously the weakness that a local search capability is poor is improved; and the method has a good application and development prospect. The DNA genetic algorithm is applied to the parameter estimation of the reaction kinetic model of a heavy oil pyrolysis process. A result shows that a heavy oil pyrolysis process model can well reflect the nonlinear characteristic of an actual system.

Description

technical field [0001] The invention relates to the technical field of intelligent optimization modeling, in particular to a method for modeling heavy oil pyrolysis process based on chaotic DNA genetic algorithm. Background technique [0002] The content of heavy oil in my country's crude oil is relatively high, generally 60% to 80%, and some even as high as 80% to 100%. How to lighten these growing heavy oils has become a major issue for my country's oil refining industry. Heavy oil catalytic cracking technology is the basis of heavy oil catalytic cracking. Compared with catalytic cracking technology, heavy oil catalytic cracking technology adopts higher reaction temperature. Heavy oil is contacted with catalyst to carry out deep cracking to increase the production of ethylene, propylene and other low-carbon olefins, and at the same time It also produces light aromatics. Compared with the traditional steam thermal cracking technology, heavy oil catalytic cracking technolo...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/12G06N7/08
CPCG06N3/123G06N3/126G06N7/08G06N3/047
Inventor 陈霄
Owner HANGZHOU DIANZI UNIV
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