Evolving ANFIS model to estimate sweet natural gas water content-Reference-Cited by-同舟云学术

Evolving ANFIS model to estimate sweet natural gas water content

Published:2017-09-17 Issue:18 Volume:35 Page:1807-1813
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Baghban Alireza¹,Sasanipour Jafar²,Goodarzi Ali Moazami³

Affiliation:

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

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

3. Department of Petroleum Engineering, Ahwaz Faculty of Petroleum Engineering, Petroleum University of Technology (PUT), Ahwaz, 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/10.1080/10916466.2017.1337795

Reference21 articles.

1. Estimation of natural gases water content using adaptive neuro-fuzzy inference system

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

3. Prediction viscosity of ionic liquids using a hybrid LSSVM and group contribution method

4. Phase equilibrium modeling of semi-clathrate hydrates of seven commonly gases in the presence of TBAB ionic liquid promoter based on a low parameter connectionist technique

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

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. Investigating the possibility of using the turbo-expander for natural gas pressure reduction stations;Thermophysics and Aeromechanics;2022-08-10

2. Estimating water content of natural gas mixtures considering heavy hydrocarbons contribution using artificial neural networks;Petroleum Science and Technology;2022-05-13

3. Application of Grid partitioning based Fuzzy inference system and ANFIS as novel approach for modeling of Athabasca bitumen and tetradecane mixture viscosity;Petroleum Science and Technology;2019-04-22

4. Application of ANFIS-GA as a novel and accurate tool for estimation of interfacial tension of carbon dioxide and hydrocarbon;Petroleum Science and Technology;2018-05-07

5. ANFIS-GA modeling of dynamic viscosity of N-Alkane in different operational conditions;Petroleum Science and Technology;2018-05-01