Title :
The Methods of Stream Dryness Measurement in Oil Field
Author :
Jianhua, Yang ; Wenqi, Liu ; Wei, Lu
Author_Institution :
Dalian Univ. of Technol., Dalian
Abstract :
During the process of heavy oil production, stream dryness is a key point of secure and effective production. It has an effect not only on security of the stream-injection boiler but also on the quality of the heavy oil. In order to resolve the low accuracy problem of dryness measurement, a new steam quality on-line measurement technique is presented in this paper. The soft measurement model is established based on neural network. By establishing the dryness system, the dryness can be on-line measured and high precision can be achieved. This system is promising in stream dryness measurement.
Keywords :
neural nets; oil technology; heavy oil production; neural network; oil field; soft measurement; stream dryness measurement; stream-injection boiler security; Boilers; Information security; MATLAB; Mathematical model; Measurement techniques; Neural networks; Petroleum; Predictive models; Production; Testing; Dryness measurement; MATLAB; Neural Network; Stream-injection Boiler;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4347248