Utilizing Artificial Intelligence Techniques for Modeling Minimum Miscibility Pressure in Carbon Capture and Utilization Processes: A Comprehensive Review and Applications-Reference-Cited by-同舟云学术

Utilizing Artificial Intelligence Techniques for Modeling Minimum Miscibility Pressure in Carbon Capture and Utilization Processes: A Comprehensive Review and Applications

Published:2024-07-25 Issue:16 Volume:38 Page:14891-14924
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Amar Menad Nait¹^ORCID,Djema Hakim¹,Ourabah Khaled²,Alqahtani Fahd Mohamad³^ORCID,Ghasemi Mohammad⁴

Affiliation:

1. Département Etudes Thermodynamiques, Division Laboratoires, Sonatrach, Avenue 1er Novembre, 35000 Boumerdes, Algeria

2. Petroleum Engineering and Development Division, Sonatrach, 16035 Hydra, Algiers, Algeria

3. Department of Petroleum and Natural Gas Engineering, Collage of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia

4. Stratum Reservoir LLC, Fabrikkveien 35-37, 4033 Stavanger, Norway

Funder

King Saud University

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.energyfuels.4c02249

Reference245 articles.

1. Determinants of carbon dioxide emissions: Empirical evidence from 69 countries

2. Recent progress on the nanoparticles-assisted greenhouse carbon dioxide conversion processes

3. An overview of CO2 capture technologies

4. Predicting CO2 capture of ionic liquids using machine learning

5. Oil Recovery Performance and CO2 Storage Potential of CO2 Water-Alternating-Gas Injection after Continuous CO2 Injection in a Multilayer Formation

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