Development of novel method for prediction of gas density in operational conditions-Reference-Cited by-同舟云学术

Development of novel method for prediction of gas density in operational conditions

Published:2019-06-28 Issue:20 Volume:37 Page:2160-2165
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Zare Mohsen¹,Esfandiarian Ali¹²,Kazemi Abadshapoori Abdolreza³,Darvish Houman¹

Affiliation:

1. Department of Petroleum Engineering, Marvdasht branch Islamic Azad University, Marvdasht, Iran;

2. Department of petroleum Engineering, Fars Science and Research Branch Islamic Azad University, Marvdasht, Iran;

3. Department of petroleum Engineering school of chemical and petroleum engineering, Shiraz University, Shiraz, 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/10.1080/10916466.2018.1482337

Reference23 articles.

1. AlQuraishi, A., and M. Ali Jumma. 2009. Determination of gas viscosity and density using genetic programing. In Offshore Mediterranean Conference and Exhibition. Offshore Mediterranean Conference.

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

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

4. Utilization of Grid partitioning based Fuzzy inference system approach as a novel method to estimate solubility of hydrocarbons in carbon dioxide

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