Modeling natural gas compressibility factor using a hybrid group method of data handling

Modeling natural gas compressibility factor using a hybrid group method of data handling

The natural gas compressibility factor indicates the compression and expansion characteristics of natural gas under different conditions. In this study, a simple second-order polynomial method based on the group method of data handling (GMDH) is presented to determine this critical parameter for dif...

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Bibliographic Details
Main Authors: Abdolhossein Hemmati-Sarapardeh, Sassan Hajirezaie, Mohamad Reza Soltanian, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, Kwok-Wing Chau
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
group method of data handling (gmdh)
natural gas compressibility factor
big data
correlation
equations of state (eoss)
data-driven model
artificial intelligence (ai)
Online Access:http://dx.doi.org/10.1080/19942060.2019.1679668

Internet

http://dx.doi.org/10.1080/19942060.2019.1679668

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