La fonctionnalité Article cité par… liste les citations d'un article. Ces citations proviennent de la base de données des articles de EDP Sciences, ainsi que des bases de données d'autres éditeurs participant au programme CrossRef Cited-by Linking Program. Vous pouvez définir une alerte courriel pour être prévenu de la parution d'un nouvel article citant " cet article (voir sur la page du résumé de l'article le menu à droite).
Cost-Effective Strategies for Assessing CO2 Water-Alternating-Gas (WAG) Injection for Enhanced Oil Recovery (EOR) in a Heterogeneous Reservoir
Abdul-Muaizz Koray, Emmanuel Appiah Kubi, Dung Bui, Jonathan Asante, Irma Primasari, Adewale Amosu, Son Nguyen, Samuel Appiah Acheampong, Anthony Hama, William Ampomah and Angus Eastwood-Anaba Water 17(5) 651 (2025) https://doi.org/10.3390/w17050651
Development of multiple explicit data-driven models for accurate prediction of CO2 minimum miscibility pressure
Saad Alatefi, Okorie Ekwe Agwu, Reda Abdel Azim, Ahmad Alkouh and Iskandar Dzulkarnain Chemical Engineering Research and Design 205 672 (2024) https://doi.org/10.1016/j.cherd.2024.04.033
Research and application of EOR by gas injection in deep clastic reservoir: case study on Tazhong 402 CIII reservoir in Tarim Oilfield
Yongqiang Xu, Rujun Wang, Lunjie Chang, Daiyu Zhou, Zangyuan Wu, Gengping Yan, Guangqiang Shao and Yang Li Petroleum Science and Technology 42(13) 1638 (2024) https://doi.org/10.1080/10916466.2022.2149796
On the Evaluation of Coal Strength Alteration Induced by CO2 Injection Using Advanced Black-Box and White-Box Machine Learning Algorithms
Utilizing Artificial Intelligence Techniques for Modeling Minimum Miscibility Pressure in Carbon Capture and Utilization Processes: A Comprehensive Review and Applications
A novel correlation for modeling interfacial tension in binary mixtures of CH₄, CO₂, and N₂ + normal alkanes systems: Application to gas injection EOR process
Research for reducing the Minimum Miscible Pressure of crude oil and carbon dioxide by injecting citric acid isobutyl ester
Guangjuan Fan, Yuejun Zhao, Yilin Li, Xiaodan Zhang and Hao Chen Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 76 30 (2021) https://doi.org/10.2516/ogst/2021007
Applications of Artificial Intelligence Techniques in the Petroleum Industry
Abdolhossein Hemmati-Sarapardeh, Aydin Larestani, Menad Nait Amar and Sassan Hajirezaie Applications of Artificial Intelligence Techniques in the Petroleum Industry 79 (2020) https://doi.org/10.1016/B978-0-12-818680-0.00004-7