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Abstract
Geologic CO2 storage is projected to play a key role in mitigating the climate change crisis. Changes in pore structure and hydraulic properties are likely to occur in carbonate rocks when they interact with CO2 as an acid-producing agent, potentially affecting CO2 flow and storage behavior in the subsurface. Here, we combine laboratory experiments and numerical simulations of CO2-saturated water and HCl solution injections into limestone specimens to develop an improved understanding of reactive flow in these rocks. We employ a digital rock approach based on X-ray micro-computed tomography (µCT) to construct heterogeneous rock permeability maps, fed as inputs into 3D Darcy-scale reactive transport models of the experiments. The simulations satisfactorily reproduce measured changes in effluent chemistry, porosity and permeability as well as the observed dissolution features in reacted rock samples. The complete dissociation of HCl as a strong acid results in compact dissolution, numerically captured using the classical Kozeny-Carman porosity-permeability relationship. In contrast, the partial dissociation of aqueous CO2 as a weak acid and the related pH-buffering effect drive strong feedback between fluid flow and dissolution, leading to wormhole formation. This dissolution pattern can be only reproduced by a large exponent (15 to 27.6) in the porosity-permeability relationship. We show that dimensionless Péclet and Damköhler numbers alone cannot predict the observed dissolution patterns in the rock. The obtained results highlight the primary control of small-scale heterogeneities and acid type on coupled flow and chemical reactions in permeable limestones and the need for a rigorous upscaling approach for field-scale studies.
DOI
https://doi.org/10.31223/X53H75
Subjects
Transport Phenomena
Keywords
carbon capture and storage, Rock heterogeneity, Fluid-rock interaction, Reactive transport modeling, Digital rock
Dates
Published: 2024-12-27 00:34
Last Updated: 2024-12-27 08:34
License
CC BY Attribution 4.0 International
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Conflict of interest statement:
None
Data Availability (Reason not available):
We have used the CrunchFlow reactive transport code for numerical simulations in this study. The source files of the code can be found on GitHub from the developer (https://github.com/cisteefel/crunchtope). The input files to simulate the problem using the CrunchFlow code are publicly available at the institutional repository Digital.CSIC, which practices FAIR principles (http://hdl.handle.net/10261/351092). Matlab scripts developed to extract rock permeability maps from micro-CT images are also publicly available at the Digital.CSIC repository (http://hdl.handle.net/10261/284837).
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