CO2 storage efficiency in saline aquifers: Insight from the numerical modeling of immiscible displacement

We estimate the storage efficiency and the maximum migration distance of CO2 injected through a vertical well into a homogeneous open aquifer. The efficiency is regarded as a measure of the pore space usage for the subsurface CO2 disposal. Under the assumption of immiscible (no-soluble) displacement of the reservoir brine by the injected CO2, we derive the dimensionless equations governing the radial flow from the well. Using this theoretical development, we conclude that all parameters of the gas disposal can depend only on five similarity parameters, which can be considered the screening criteria for the CO2 storage. By employing reservoir simulations, we calculate the storage efficiency and the maximum migration distance as functions of those parameters and evaluate the most influencing criteria. We distinguish several limiting cases corresponding to either the gravity-driven flow of CO2 or its injection into an anisotropic reservoir characterized by a poor fluid communication in the vertical direction. We show that the storage parameters are governed by different scaling relationships in these limiting cases. We quantify the coefficients of the corresponding scaling laws. For the transient regimes of the CO2 flow away from the well, we present the maps allowing a back-of-the-envelope estimation of the storage efficiency for given similarity criteria. The maps and the scaling laws can be useful in the regional surveys for a preliminary screening and evaluation of the target reservoirs for carbon capture and storage.

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Publication Details

Journal
Physics of Fluids
Published
2024-12-01
DOI
https://doi.org/10.1063/5.0240073
Citations
9
Primary Topic
CO2 Sequestration and Geologic Interactions
Type
article
Field-Weighted Citation Impact
1.85

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article

CO2 storage efficiency in saline aquifers: Insight from the numerical modeling of immiscible displacement

Andrey Afanasyev, I. M. Sypchenko
9 citations
Physics of Fluids
CO2 Sequestration and Geologic Interactions
1.85
article

CO2 storage efficiency in saline aquifers: Insight from the numerical modeling of immiscible displacement

Andrey Afanasyev, I. M. Sypchenko
article en
9 citations

Abstract

We estimate the storage efficiency and the maximum migration distance of CO2 injected through a vertical well into a homogeneous open aquifer. The efficiency is regarded as a measure of the pore space usage for the subsurface CO2 disposal. Under the assumption of immiscible (no-soluble) displacement of the reservoir brine by the injected CO2, we derive the dimensionless equations governing the radial flow from the well. Using this theoretical development, we conclude that all parameters of the gas disposal can depend only on five similarity parameters, which can be considered the screening criteria for the CO2 storage. By employing reservoir simulations, we calculate the storage efficiency and the maximum migration distance as functions of those parameters and evaluate the most influencing criteria. We distinguish several limiting cases corresponding to either the gravity-driven flow of CO2 or its injection into an anisotropic reservoir characterized by a poor fluid communication in the vertical direction. We show that the storage parameters are governed by different scaling relationships in these limiting cases. We quantify the coefficients of the corresponding scaling laws. For the transient regimes of the CO2 flow away from the well, we present the maps allowing a back-of-the-envelope estimation of the storage efficiency for given similarity criteria. The maps and the scaling laws can be useful in the regional surveys for a preliminary screening and evaluation of the target reservoirs for carbon capture and storage.

Physics of FluidsVol. 36(12)
Lomonosov Moscow State University (RU), Moscow State University (TJ)
Russian Science Foundation
Openalex Percentile: Top 15%
CO2 Sequestration and Geologic Interactions
1.85
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CO2 storage efficiency in saline aquifers: Insight from the numerical modeling of immiscible displacement — Andrey Afanasyev, I. M. Sypchenko · Physics of Fluids (2024) | TGRS Research Map | TGRS