Applying ANFIS-PSO algorithm as a novel accurate approach for prediction of gas density-Reference-Cited by-同舟云学术

Applying ANFIS-PSO algorithm as a novel accurate approach for prediction of gas density

Published:2018-03-22 Issue:12 Volume:36 Page:820-826
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Mir Mahdi¹,Kamyab Majid²,Lariche Milad Janghorban³,Bemani Amin⁴,Baghban Alireza⁵

Affiliation:

1. Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

2. Computer Aided Process Engineering Lab (CAPE), School of Chemical Engineering, Iran University of Science and Technology, IUST, Tehran, Iran

3. Abadan School of Medical Sciences, Abadan, Iran

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

5. Chemical Engineering Department, 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/10.1080/10916466.2018.1446176

Reference19 articles.

1. Artificial neural networks modeling for hydrocarbon gas viscosity and density estimation

2. Isothermal PρT measurements on Qatar’s North Field type synthetic natural gas mixtures using a vibrating-tube densimeter

3. An efficient correlation for calculating compressibility factor of natural gases

4. Modeling of true vapor pressure of petroleum products using ANFIS algorithm

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