A Comprehensive Review of the Role of CO2 Foam EOR in the Reduction of Carbon Footprint in the Petroleum Industry

A Bello, A Ivanova, A Cheremisin - Energies, 2023 - mdpi.com
By trapping CO2 and storing it in matured and depleted geological formations, atmospheric
CO2 release can be reduced. Carbon capture and storage on a large scale can help to …

Machine-learning-based prediction of oil recovery factor for experimental CO2-Foam chemical EOR: Implications for carbon utilization projects

HV Thanh, DS Dashtgoli, H Zhang, B Min - Energy, 2023 - Elsevier
Enhanced oil recovery (EOR) using CO 2 injection is promising with economic and
environmental benefits as an active climate-change mitigation approach. Nevertheless, the …

Aminosilane-modified ordered hierarchical nanostructured silica for highly-selective carbon dioxide capture at low pressure

KSK Reddy, AM Varghese… - ACS Applied …, 2023 - ACS Publications
Ordered hierarchical nanostructured silica (OHNS) adsorbents were prepared, and their
surface was controllably modified by aminosilanization using two different aminosilanes …

Foam-Assisted Oil Recovery: A Physics-Based Perspective

HA Ritacco - Current Opinion in Colloid & Interface Science, 2024 - Elsevier
In this paper, I delve into the physics of foams within the context of Enhanced Oil Recovery
(EOR). Foams present a promising prospect for use in EOR, applicable to both conventional …

Multi-Objective Optimization of CO2 Injection Process into Oil Reservoirs Using Machine Learning Algorithms: Incorporating Carbon Sequestration Mechanisms

M Azizi, SM Hasheminezhad, S Moeinpour… - Energy & …, 2024 - ACS Publications
Capture and storage of CO2 in underground geological formations has been identified as a
sustainable solution for mitigating the effects of greenhouse gases. Combining this CO2 …

Predicting and optimizing CO2 foam performance for enhanced oil recovery: A machine learning approach to foam formulation focusing on apparent viscosity and …

J Iskandarov, S Ahmed, GS Fanourgakis… - Marine and Petroleum …, 2024 - Elsevier
Carbon dioxide foam injection stands as a promising method for enhanced oil recovery
(EOR) and carbon sequestration. However, accurately predicting its efficiency amidst …

Underground CO2 flow Control: A comparison of Gels, Foams, and nanoparticles

C Cao, B Wen, L Zhang, Y Zhao, S Wen, Z Hou… - Journal of Molecular …, 2024 - Elsevier
Abstract Carbon Capture and Storage (CCS) and CO 2 Enhanced Oil Recovery (CO 2-EOR)
are crucial in reducing CO 2 emissions. They focus on both climate change mitigation and …

A Comprehensive Summary of the Application of Machine Learning Techniques for CO2-Enhanced Oil Recovery Projects

X Du, S Salasakar, G Thakur - Machine Learning and Knowledge …, 2024 - mdpi.com
This paper focuses on the current application of machine learning (ML) in enhanced oil
recovery (EOR) through CO2 injection, which exhibits promising economic and …

Committee machine learning: A breakthrough in the precise prediction of CO2 storage mass and oil production volumes in unconventional reservoirs

S Davoodi, HV Thanh, DA Wood, M Mehrad… - Geoenergy Science and …, 2025 - Elsevier
Accurate prediction of CO 2 storage mass and cumulative oil production is critical in the
context of combining subsurface carbon capture with enhanced oil recovery (CCS-EOR) …

Machine Learning Prediction and Optimization of CO2 Foam Performance for Enhanced Oil Recovery and Carbon Sequestration: Effect of Surfactant Type and …

J Iskandarov, GS Fanourgakis, S Ahmed… - Geoenergy Science and …, 2024 - Elsevier
Foam flooding handles the challenges of gas injection constituting a high viscosity medium
that sweeps oil more efficiently meanwhile creating a barrier that prevents leakage of gas …