DOI: 10.5061/dryad.7m0cfxq5p
title: Unraveling the controls of rock permeability change during volatile-consuming reactions

description: 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.
description: # Unraveling the Controls of Rock Permeability Change during
 Volatile-Consuming Reactions
 [https://doi.org/10.5061/dryad.7m0cfxq5p](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).