Smart phase behavior modeling of asphaltene precipitation using advanced computational frameworks: ENN, GMDH, and MPMR-Reference-Cited by-同舟云学术

Smart phase behavior modeling of asphaltene precipitation using advanced computational frameworks: ENN, GMDH, and MPMR

Published:2021-09-16 Issue:19-20 Volume:39 Page:804-825
ISSN:1091-6466
Container-title:Petroleum Science and Technology
language:en
Short-container-title:Petroleum Science and Technology

Author:

Kardani Navid¹^ORCID,T Pradeep²,Samui Pijush²,Kim Dookie³,Zhou Annan¹

Affiliation:

1. Civil and Infrastructure Discipline, School of Engineering, Royal Melbourne Institute of Technology (RMIT), Melbourne, VIC, Australia

2. Department of Civil Engineering, NIT Patna, Bihar, India

3. Department of Civil and Environmental Engineering, Structural System Laboratory, Kongju National University, Gongju-si, Republic of Korea

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/10.1080/10916466.2021.1974882

Reference42 articles.

1. Asphaltene Adsorption, a Literature Review

2. Neural network based unified particle swarm optimization for prediction of asphaltene precipitation

3. New approach for prediction of asphaltene precipitation due to natural depletion by using evolutionary algorithm concept

4. New efficient tool diagnoses asphaltene stability: Utilization of refractive index

5. Laboratory evaluation of a novel multifunctional chemical solution for asphaltene precipitation and aggregation problem: Comparison with an industrial chemical solution

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