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31 to 40 of 152,867 Results
Gzip Archive - 377.8 MB - MD5: 168232b6c35383ddaf551ba97d661e28
Data
Contains the main data set used for reproduction of the plots in the paper
Python Source Code - 2.8 KB - MD5: aea9a8dbe24875e5443063a8baa02acd
Code
Python script that calculates the theoretical pre-experimental inlet fluid pH and prints it to the CLI. Corresponds to pH_in values Table 1 in the associated publication.
Python Source Code - 15.6 KB - MD5: 734907a8753423b28543c1dacd9d1fc6
Code
Python script that estimates the surface retreat expected in the experiments using the NERO_ExperimentalData.ods file; prints results to the console.
Adobe PDF - 29.1 KB - MD5: 6c47351c2d4b5c48852df5d2b76cd95a
PDF figure generated by `plot.py time` showing the time-series evolution of calcium concentration and pH for all 12 simulation cases using the grid-convergent resolution. Shown in figure 4 (b) in associated publication.
Python Source Code - 5.9 KB - MD5: 216be2d15d451df81f6eeb895da0087c
Code
Core Python module implementing the chemistry of the H₂O–CO₂–CaCO₃ system. It defines temperature-dependent equilibrium constants, carbonate speciation, and solvers for open and closed CO₂ equilibria, providing the thermodynamic basis for all pH and dissolution calculations in the associated publication.
Adobe PDF - 29.3 KB - MD5: de7a6a42eca2838ba279228436d09393
PDF figure generated by `plot.py time` showing the time-series evolution of calcium concentration and pH for all 12 simulation cases using the initial grid resolution. Not shown in associated publication.
Python Source Code - 5.5 KB - MD5: 3b5d58372c89c8ee668f6942944bbbd3
Code
Python script that performs linear interpolation and regression analysis for the temperature-dependent diffusion coefficient of CO₂ in water, using experimental data from the CRC Handbook of Chemistry and Physics. It fits a linear model to predict diffusion coefficients at arbitrary temperatures and calculates correlation statistics. The script acc...
Python Source Code - 16.9 KB - MD5: b6f84cc3d3f347793d75565fc2b1103e
Code
Python script that examines flow recirculation characteristics by computing Rayleigh (Ra) and Richardson (Ri) numbers from both static characteristic files and post-processed simulation fluxes, and determining recirculation occurrence. Saves results to recirculation/recirculation_table.csv; the Richardson numbers correspond to Table D2 of the assoc...
Python Source Code - 4.3 KB - MD5: 141a8d70587d0e67366f152b4b8b06d5
Code
One-time preprocessing script that converts raw experimental data from the NERO_ExperimentalData.ods spreadsheet into standardized CSV files for the 12 experimental cases. The resulting CSV files are formatted for direct use in postprocessing and plotting workflows, serving as the ground-truth inputs for all subsequent simulation comparisons and er...
OpenOffice Spreadsheet - 18.0 KB - MD5: 01cb993dfda871b5074b0b7edd6eb982
Data
Primary raw experimental dataset containing time-series measurements of elapsed time, calcium concentration (cCa), and pH for all fracture analog test cases. This spreadsheet serves as the source input for makeDataFiles.py and get_surface_retreat.py.
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