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Radial basis function network to predict gas flow rate in multiphase flow

AL-Qutami, T.A. and Ibrahim, R. and Ismail, I. and Ishak, M.A. (2017) Radial basis function network to predict gas flow rate in multiphase flow. ACM International Conference Proceeding Series, Part F . pp. 141-146.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Estimation of individual phase flow rates in multiphase flow is of great significance to production optimization and reservoir management in oil and gas industry. This paper proposes radial basis function network to develop a virtual flow meter (VFM) that can estimate gas flow rate in multiphase flow production lines. The model is validated with actual well test measurements, and testing results reveal excellent performance and generalization capability of the developed VFM. The paper also discusses the significance of bottom-hole and choke valve measurements to attain accurate predictions. Proposed VFM model potentially of fers an attractive and cost-effective solution to meet real-time production monitoring demands, and reduces operational and maintenance costs. © 2017 ACM.

Item Type:Article
Impact Factor:cited By 1
Departments / MOR / COE:Division > Academic > Faculty of Engineering > Electrical & Electronic Engineering
ID Code:20128
Deposited By: Ahmad Suhairi
Deposited On:22 Apr 2018 14:42
Last Modified:22 Apr 2018 14:42

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