Unraveling the controls of rock permeability change during volatile-consuming reactions
Data files
Jan 15, 2025 version files 21.83 MB
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README.md
1.99 KB
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Repository.zip
21.83 MB
Abstract
Decarbonization is essential in worldwide efforts to combat the ongoing decline of ecosystems. Transforming the carbon dioxide from atmosphere into carbonate minerals such as calcite and magnesite is recognized as the most effective strategy. These chemical reactions generally result in an increase in solid volume, which can lead to potential cracking. When cracking happens, it may accelerate the reaction by increasing the permeability of the rock. However, the factors that control permeability are not well understood. This research defines the dimensionless parameters that govern permeability in reactions that consume volatiles, focusing on how these parameters interact with the fracturing of mafic and ultramafic rock types. Initially, dimensionless control parameters are presented within the context of a one-dimensional model that integrates reactive transport and deformation. Subsequently, instead of using experiemental techaniques, a coupled pore network and discrete element solver is utilized to validate these parameters by replicating the trends in permeability changes observed in laboratory experiments. The dataset comprises measurements of porosity, changes in reaction extent, and pore pressure for the samples. It is divided into two categories: (1) averaged variables, representing the overall behavior of the sample, and (2) local variables, which capture the distribution of the parameters across different sections. Data are recorded at various time intervals for both the entire sample and individual sections, enabling a comprehensive analysis of temporal and spatial variations in the studied parameters. These results reconcile previously conflicting observations from field and laboratory studies, offering deeper understanding that could improve the effectiveness of subsurface carbon storage and other geologic processes.
README: Unraveling the Controls of Rock Permeability Change during Volatile-Consuming Reactions
https://doi.org/10.5061/dryad.7m0cfxq5p
This dataset includes the numerical data generated in the paper 'Unraveling the Controls of Rock Permeability Change during Volatile-Consuming Reactions'.
Description of the data and file structure
The data in this repository can be separated into two categories: the averaged variables of the sample and the distributions of the variables.
1.The averaged variables include
sample1(2, 3 , ..., 12)_porosity.csv; sample1(2, 3 , ..., 12)_reactiont_extent.csv
Each one has 12 csv files of each sample 1-12.
2.The distributions of the variables include
Samples 1-12 tau 0.1 (0.3, 1.0, 2.0).csv
This category has 4 csv files of all 12 samples at different dimensionless time (0.1, 0.3, 1.0, and 2.0).
In the first category,
1.sample1(2, 3 , ..., 12)_porosity.csv;
The X-axis in each file represents simulation time and the Y-axis represents porosity. The porosity is defined as the pore volume of the flow network / the volume of the whole sample.
2.sample1(2, 3 , ..., 12)_reactiont_extent.csv;
The X-axis in each file represents simulation time and the Y-axis represents reactiont extent. The extent of the reaction is defined as the percentage of the reactant that has been converted into the product.
In the second category,
1.Samples 1-12 tau 0.1 (0.3, 1.0, 2.0).csv
Each file gives the distribution of pore pressure (Pa), porosity and reaction extent of the sample. The sections are uniformly distributed from the front to the back of the sample.
Code/Software
All the data from this work is generated from the coupled pore network and discrete element model using PFC 3D (Itasca Consulting Group, Inc. 2021 PFC —* Particle Flow Code, Ver. 6.0*. Minneapolis: Itasca.). CSV files can be opened in spreadsheet applications (like Excel or Google Sheets).