Application of artificial neural networks in oil and gas multiphase metering

Huimin Yang; Yuxing Li; Fuxian Zhou; Jian Zhang; Shouping Dong

doi:10.1117/12.717598

6 November 2006 Application of artificial neural networks in oil and gas multiphase metering

Huimin Yang, Yuxing Li, Fuxian Zhou, Jian Zhang, Shouping Dong

Proceedings Volume 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence; 63575D (2006) https://doi.org/10.1117/12.717598
Event: Sixth International Symposium on Instrumentation and Control Technology, 2006, Beijing, China

Abstract

In order to study the law of multiphase flow in pipeline and solve the on-line multiphase metering problem without separation of gas and liquid, a new type of multiphase flowmeter was developed and a series of water-gas two phase flows experiments in horizontal pipeline were carried out. And Artificial Neural Networks was used to process data after the experiments. The results show that Artificial Neural Networks could be used to simulate the relationship of the variables that were affected by many uncertain factors very well. And the relative error of liquid phase is less than 10% as well as the relative error of gaseous phase is less than 20%.

Citation Download Citation

Huimin Yang, Yuxing Li, Fuxian Zhou, Jian Zhang, and Shouping Dong "Application of artificial neural networks in oil and gas multiphase metering", Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63575D (6 November 2006); https://doi.org/10.1117/12.717598

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available