Radial Basis Function Network to Predict Gas Flow Rate in Multiphase Flow-Reference-Cited by-同舟云学术

Radial Basis Function Network to Predict Gas Flow Rate in Multiphase Flow

Published:2017-02-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th International Conference on Machine Learning and Computing
language:
Short-container-title:

Author:

AL-Qutami Tareq Aziz¹,Ibrahim Rosdiazli¹,Ismail Idris¹,Ishak Mohd Azmin¹

Affiliation:

1. Department of Electrical & Electronics Engineering, Universiti Teknologi Petronas, Malaysia, Project Delivery & Technology Petronas Berhad, Malaysia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3055635.3056638

Reference18 articles.

1. R. API "86-Recommended Practice for Measurement of Multiphase Flow (2005) " API Executive Committee on Drilling and Production Operations American Petroleum Institute. R. API "86-Recommended Practice for Measurement of Multiphase Flow (2005) " API Executive Committee on Drilling and Production Operations American Petroleum Institute.

2. R. Bailey S. Shirzadi and E. Ziegel "Data mining and predictive analytics transforms data to barrels " in SPE Digital Energy Conference 2013. R. Bailey S. Shirzadi and E. Ziegel "Data mining and predictive analytics transforms data to barrels " in SPE Digital Energy Conference 2013.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Golem: A General Data-Driven Model for Oil & Gas Forecasting Based on Recurrent Neural Networks;IEEE Access;2023

2. Passive learning to address nonstationarity in virtual flow metering applications;Expert Systems with Applications;2022-12

3. Data-Driven Virtual Flow Rate Sensor Development for Leakage Monitoring at the Cradle Bearing in an Axial Piston Pump;Energies;2022-08-23

4. Research on multi-phase flow test and flow simulation test in energy enterprise automation;Frontiers in Energy Research;2022-08-16

5. On gray-box modeling for virtual flow metering;Control Engineering Practice;2022-01