Estimation of wax deposition in the oil production units using RBF-ANN strategy-Reference-Cited by-同舟云学术

Estimation of wax deposition in the oil production units using RBF-ANN strategy

Published:2017-09-02 Issue:17 Volume:35 Page:1737-1742
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Eghtedaei Reza¹,Sasanipour Jafar²,Zarrabi Houman³,Palizian Masih⁴,Baghban Alireza⁵

Affiliation:

1. Industrial Engineering, Cyprus international university, Cyprus, Turkey

2. Department of Gas Engineering, Ahwaz Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran

3. ICT Research Center, Tehran, Iran

4. Department of Chemical Engineering, Amirkabir University of Technology, Tehran, Iran

5. Department of Chemical Engineering, Amirkabir University of Technology, Mahshahr Campus, Mahshahr, Iran

Publisher

Informa UK Limited

Subject

Geotechnical Engineering and Engineering Geology,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering,General Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/10916466.2017.1380043

Reference20 articles.

1. Introduction to a Novel Approach for Modeling Wax Deposition in Fluid Flows. 1. Taylor−Couette System

2. Application of the ANFIS strategy to estimate vaporization enthalpies of petroleum fractions and pure hydrocarbons

3. Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches

4. Prediction of CO 2 loading capacities of aqueous solutions of absorbents using different computational schemes

5. Estimation of air dew point temperature using computational intelligence schemes

Cited by 5 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. Resource optimization model using novel extreme learning machine with t-distributed stochastic neighbor embedding: Application to complex industrial processes;Energy;2021-06

2. Application of intelligent models in reservoir and production engineering;Applications of Artificial Intelligence Techniques in the Petroleum Industry;2020

3. Application of RBF-ANN in prediction of natural gas density in different operational conditions;Petroleum Science and Technology;2019-07-04

4. Study of wax deposition law by cold finger device;Petroleum Science and Technology;2019-05-13

5. Utilization of RBF-ANN as a novel approach for estimation of asphaltene inhibition efficiency;Petroleum Science and Technology;2018-05-15