Research on Method of Improving Thermal Efficiency of Oilfield Horizontal Water Jacket Heating Furnace Based on Smith Algorithms

In view of the low thermal efficiency of oil field horizontal water jacket heating furnace, the single neuron SVM-Smith predictive control method was proposed to improve the heating efficiency according to the structure of the reformed heating furnace. The Support Vector Machine (SVM) was used to pr...

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Bibliographic Details
Published in:Journal of physics. Conference series 2019-06, Vol.1237 (2), p.22095
Main Authors: Xu, Xiang-qian, Zhou, Hao-bin
Format: Article
Language:English
Subjects:
Algorithms
Compensation
Control algorithms
Control methods
Control theory
Efficiency
Flow velocity
Heating furnaces
Oil field equipment
Oil fields
Predictive control
Proportional integral derivative
Support vector machines
Thermodynamic efficiency
Water jackets
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Summary:In view of the low thermal efficiency of oil field horizontal water jacket heating furnace, the single neuron SVM-Smith predictive control method was proposed to improve the heating efficiency according to the structure of the reformed heating furnace. The Support Vector Machine (SVM) was used to predict the flow rate of heated medium and improved the accuracy of Smith prediction and compensation. The single neuron PID control and Smith predictive compensation were combined to tune the parameters of the control system. The experiments showed that the thermal efficiency had been significantly improved, and the control algorithm had achieved good control effect.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1237/2/022095