The Problem of Formation Destruction in Carbon Dioxide Storage: A Microscopic Model

In the context of the current global transition toward low-carbon energy, the issue of CO2 utilization has become increasingly important. One of the most promising natural targets for CO2 sequestration is the terrigenous sedimentary formations found in oil, gas, and coal basins. It is generally assumed that CO2 injected into such formations can be stored indefinitely in a stable form. However, the dissolution of CO2 into subsurface water leads to a reduction in pH, which may cause partial dissolution of the host formation, altering the structure of the subsurface in the injection zone. This process is relatively slow, potentially unfolding over decades or even centuries, and its long-term consequences require careful investigation through mathematical modeling. The geological formation is treated as a partially soluble porous medium, where the dissolution rate is governed by surface chemical reactions occurring at the pore boundaries. In this study, we present an applied mathematical model that captures the coupled processes of mass transport, surface chemical reactions, and the resulting microscopic changes in the pore structure of the formation. To ensure the model remains grounded in realistic geological conditions, we based it on exploration data characterizing the composition and microstructure of the pore space typical of the Cenomanian suite in northern Western Siberia. The model incorporates the dominant geochemical reactions involving calcium carbonate (calcite, CaCO3), characteristic of Cenomanian reservoir rocks. It describes the dissolution of CO2 in the pore fluid and the associated evolution of ion concentrations, specifically H+, Ca2+, and HCO3−. The input parameters are derived from experimental data. While the model focuses on calcite-based formations, the algorithm can be adapted to other mineralogies with appropriate modifications to the reaction terms. The simulation domain is defined as a cubic region with a side length of 1 μm, representing a fragment of the geological formation with a porosity of 0.33. The pore space is initially filled with a mixture of liquid CO2 and water at known saturation levels. The mathematical framework consists of a system of diffusion–reaction equations describing the dissolution of CO2 in water and the subsequent mineral dissolution, coupled with a model for surface evolution of the solid phase. This model enables calculation of surface reaction rates within the porous medium and estimates the timescales over which significant changes in pore structure may occur, depending on the relative saturations of water and liquid CO2.

Authors

Institutions

Publication Details

Journal
Algorithms
Published
2025-08-12
DOI
https://doi.org/10.3390/a18080503
Citations
1
Primary Topic
CO2 Sequestration and Geologic Interactions
Type
article
Field-Weighted Citation Impact
0.80

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Problem of Formation Destruction in Carbon Dioxide Storage: A Microscopic Model

П. А. Левашов, Alla Eduardovna Sidorova, D. R. Erofeev, Н. Т. Левашова
1 citations
Algorithms
CO2 Sequestration and Geologic Interactions
0.80
article

The Problem of Formation Destruction in Carbon Dioxide Storage: A Microscopic Model

П. А. Левашов, Alla Eduardovna Sidorova, D. R. Erofeev, Н. Т. Левашова
article en
1 citations

Abstract

In the context of the current global transition toward low-carbon energy, the issue of CO2 utilization has become increasingly important. One of the most promising natural targets for CO2 sequestration is the terrigenous sedimentary formations found in oil, gas, and coal basins. It is generally assumed that CO2 injected into such formations can be stored indefinitely in a stable form. However, the dissolution of CO2 into subsurface water leads to a reduction in pH, which may cause partial dissolution of the host formation, altering the structure of the subsurface in the injection zone. This process is relatively slow, potentially unfolding over decades or even centuries, and its long-term consequences require careful investigation through mathematical modeling. The geological formation is treated as a partially soluble porous medium, where the dissolution rate is governed by surface chemical reactions occurring at the pore boundaries. In this study, we present an applied mathematical model that captures the coupled processes of mass transport, surface chemical reactions, and the resulting microscopic changes in the pore structure of the formation. To ensure the model remains grounded in realistic geological conditions, we based it on exploration data characterizing the composition and microstructure of the pore space typical of the Cenomanian suite in northern Western Siberia. The model incorporates the dominant geochemical reactions involving calcium carbonate (calcite, CaCO3), characteristic of Cenomanian reservoir rocks. It describes the dissolution of CO2 in the pore fluid and the associated evolution of ion concentrations, specifically H+, Ca2+, and HCO3−. The input parameters are derived from experimental data. While the model focuses on calcite-based formations, the algorithm can be adapted to other mineralogies with appropriate modifications to the reaction terms. The simulation domain is defined as a cubic region with a side length of 1 μm, representing a fragment of the geological formation with a porosity of 0.33. The pore space is initially filled with a mixture of liquid CO2 and water at known saturation levels. The mathematical framework consists of a system of diffusion–reaction equations describing the dissolution of CO2 in water and the subsequent mineral dissolution, coupled with a model for surface evolution of the solid phase. This model enables calculation of surface reaction rates within the porous medium and estimates the timescales over which significant changes in pore structure may occur, depending on the relative saturations of water and liquid CO2.

AlgorithmsVol. 18(8)
Lomonosov Moscow State University (RU), Moscow State University (TJ)
Russian Science Foundation
Openalex Percentile: Top 26%
CO2 Sequestration and Geologic Interactions
0.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.