Utilization of LSSVM algorithm for estimating synthetic natural gas density-Reference-Cited by-同舟云学术

Utilization of LSSVM algorithm for estimating synthetic natural gas density

Published:2018-03-20 Issue:11 Volume:36 Page:807-812
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Razavi Razieh¹,Kardani Mohammad Navid²,Ghanbari Alireza³,Lariche Milad Janghorban⁴,Baghban Alireza⁵

Affiliation:

1. Department of Chemistry, Faculty of Science, University of Jiroft, Jiroft, Iran

2. Petroleum Engineering Department, University of Tehran, Tehran, Iran

3. Mathematics Department, Faculty of Basic Sciences, Khatam-ol-Anbia (PBU) University, Tehran, IRAN

4. Abadan School of Medical Sciences, Abadan, 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/10.1080/10916466.2018.1447954

Reference17 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. Modeling of viscosity for mixtures of Athabasca bitumen and heavy n-alkane with LSSVM algorithm

4. Application of LSSVM strategy to estimate asphaltene precipitation during different production processes

5. Phase equilibrium modelling of natural gas hydrate formation conditions using LSSVM approach

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