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This paper focuses on combining resistivity and pressure measurements to determine the effectiveness of foam as a mobility control method. It presents a theoretical framework to describe the expected resistivity changes during CO 2 -foam displacements. With this objective, we first provide equations to estimate the resistivity for CO 2 -foam systems and then utilize two distinct foam models to quantify these effects. Using analytical solutions based on the fractional flow theory, we present resistivity and mobility distributions for ideal and non-ideal reservoir displacement scenarios. Additionally, assuming pressure measurements only, we examine the inter-dependency between various foam parameters. Our results suggest that the combination of pressure and resistivity measurements in time-lapse mode could be deployed as an effective monitoring tool in field applications of the (CO 2 ) foam processes. The proposed method is novel as it could be employed to predict under-performing CO 2 -foam floods and improve oil recovery and CO 2 storage.
Metin Karakas. 2026. \u201cCO2-Foam Monitoring using Resistivity and Pressure Measurements\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 22 (GJRE Volume 22 Issue J2): .
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
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Total Score: 123
Country: Norway
Subject: Global Journal of Research in Engineering - J: General Engineering
Authors: Metin Karakas, Fred Aminzadeh, Arne Graue (PhD/Dr. count: 0)
View Count (all-time): 218
Total Views (Real + Logic): 1508
Total Downloads (simulated): 55
Publish Date: 2026 01, Fri
Monthly Totals (Real + Logic):
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This paper focuses on combining resistivity and pressure measurements to determine the effectiveness of foam as a mobility control method. It presents a theoretical framework to describe the expected resistivity changes during CO 2 -foam displacements. With this objective, we first provide equations to estimate the resistivity for CO 2 -foam systems and then utilize two distinct foam models to quantify these effects. Using analytical solutions based on the fractional flow theory, we present resistivity and mobility distributions for ideal and non-ideal reservoir displacement scenarios. Additionally, assuming pressure measurements only, we examine the inter-dependency between various foam parameters. Our results suggest that the combination of pressure and resistivity measurements in time-lapse mode could be deployed as an effective monitoring tool in field applications of the (CO 2 ) foam processes. The proposed method is novel as it could be employed to predict under-performing CO 2 -foam floods and improve oil recovery and CO 2 storage.
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