Machine learning assisted molecular modeling from biochemistry to petroleum engineering: A review-Reference-Cited by-同舟云学术

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Machine learning assisted molecular modeling from biochemistry to petroleum engineering: A review

Published:2024-05 Issue: Volume:236 Page:212770
ISSN:2949-8910
Container-title:Geoenergy Science and Engineering
language:en
Short-container-title:Geoenergy Science and Engineering

Author:

Ma Gaoqiang^ORCID,Shi Junfeng,Xiong Hao,Xiong Chunming,Zhao Ruidong,Zhang Xishun

Publisher

Elsevier BV

Reference199 articles.

1. Asphaltene adsorption, a literature review;Adams;Energy Fuel.,2014

2. Artificial intelligence techniques and their applications in drilling fluid engineering: a review;Agwu;J. Pet. Sci. Eng.,2018

3. Molecular interactions between asphaltene and surfactants in a hydrocarbon solvent: application to asphaltene dispersion;Ahmadi;Symmetry,2020

4. Insight into the interfacial behavior of surfactants and asphaltenes: molecular dynamics simulation study;Ahmadi;Energy Fuel.,2020

5. Comprehensive molecular scale modeling of anionic surfactant-asphaltene interactions;Ahmadi;Fuel,2021

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