Phase behavior modeling of asphaltene precipitation utilizing RBF-ANN approach-Reference-Cited by-同舟云学术

Phase behavior modeling of asphaltene precipitation utilizing RBF-ANN approach

Published:2019-03-19 Issue:16 Volume:37 Page:1861-1867
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Kardani Mohammad Navid¹,Baghban Alireza²,Hamzehie Mohammad Ehsan³,Baghban Mohammad²

Affiliation:

1. Department of Petroleum Engineering, University of Tehran, Tehran, Iran;

2. Yoaung Researcher and Elite Club, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran;

3. 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/10.1080/10916466.2017.1289222

Reference24 articles.

1. Evolving machine learning models to predict hydrogen sulfide solubility in the presence of various ionic liquids

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

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

4. Estimation of oil and gas properties in petroleum production and processing operations using rigorous model

5. 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

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