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Regular version of the site

Student
Title
Supervisor
Faculty
Educational Programme
Final Grade
Year of Graduation
Sergey Dormidontov
Programming Model of Virtual Indicators for Delayed Cocking Unit
System and Software Engineering
(Master’s programme)
2016
Topic: Programming model of Virtual indicators for Delayed Cocking Unit (DCU).

Size of paper: 42 pages along with 11 pictures and 29 tables on them. 29 reference articles have been used during the compilation of the research.

Key words: Virtual Analyzer, Machine Learning, Oil refinery.

The object of the research was a delayed cocking unit of the refinery at Perm.

The research subjects were models for virtual analyzers of light and heavy gasoil along with share of C5+ hydrocarbons in gas.

Paper includes introduction, eight chapters as the main body and conclusion with results.

Introduction contains a problem description, topicality of the topic and goals and tasks of the research.

Chapter 2 states about theory of DCU. Section 3 includes literature overview with applications of machine learning in oil refinement. Chapter 4 presents current state of the virtual analyzers and indicate the problems to investigate. Theory of machine learning algorithms is presented in the section 5. Chapter 6 describes the implementation of the research systematically. Chapter 7 shows screenshots of a dashboard for virtual analyzers. Interim results are presented in the section 8.

Conclusion highlights main aspects of the research made along with overall results reached and expected in the future.

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