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Cybernetics and programming
Reference:

Identification of the Structure in Computer Simulations of Clusters in Oil Disperse Systems

Mukhametzyanov Irik Ziryagovich

Doctor of Physics and Mathematics

professor of the Department of Mathematics at Ufa State Petroleum Technological University 

450062, Russia, Bashkortostan Republic, Ufa, str. Kosmonavtov, 1, of. 3-212

mm_ugntu@mail.ru
Другие публикации этого автора
 

 

DOI:

10.7256/2306-4196.2016.3.19244

Review date:

19-05-2016


Publish date:

25-06-2016


Abstract: The subject of the research is the identification of the cluster system in general during computer simulation of the cluster-cluster agregation process. The object of the research is the computer simulation model of formation/destruction of macromolecular clusters heavy oil and reisual oil products. The researcher examines such aspects of the topic as developing significant indicators for identifying the cluster system for the cluster-cluster agregation simulation model. The author analyzes two kinds of indicators, average statistical dispersion that characterizes homogeneity of clusters, and entropy of the cluster system that characterizes the order of the cluster system. The research method is based on the numerical experiment involving various managing parameters of the model and following statistical analysis of indicators under review. Evaluation of the quality of the cluster system identification integral indicators is performed based on the minimum criterion of the variation ratio and verification of statistical hypotheses about a significant difference between indicators when changing managing parameters of the model. Based on the results of the numerical experiment a so called 'divergence ratio' has been defined as the best metrics for the statistical dispersion indicator depending on the minimum criterion. The statistical dispersion indicator and the indicator of the cluster system entropy allow to perform a qualitative analysis of the macroscopic structure of oil systems by the means of simulating the growth of clusters when chaging physical and chemical properties of the gas system as well as technological parameters of the industrial process. For numerical experiments simulating the process of the thermal cracking and following thermocondensation of high-boiling fractions of petroleum hydrocarbons the author has defined technological parameters that trigger the growth of minor clusters with dense structures and, on the contrary, major clusters with less dense structures. The patterns described by the author are important for further usage of cracking residuals as the raw material for manufacturing petroleum coke with the set structure in the carbonic industry. 


Keywords: entropy of the system, average statistical dispersion, cluster identification, cluster structure, cluster-cluster model, associates of macromolecules, oil disperse systems, computer simulations, divergence factor, computer experiment
This article written in Russian. You can find full text of article in Russian here .

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