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Modeling Strategies for Gas migration in Subsurface (IWS, Universität Stuttgart)
Mar 12, 2021
This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media.
Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
Jun 18, 2021 - Modeling Strategies for Gas migration in Subsurface
Banerjee, Ishani, 2021, "Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data", https://doi.org/10.18419/darus-1776, DaRUS, V1
This dataset contains modeling data used to obtain the results and figures in the manuscript: "Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data." In particular, the model realization data a...
CompMethod_readme.txt
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
Plain Text - 2.3 KB - MD5: 1b1729d1013e7f62d388169fd0c2eaae
Documentation
text file with details of the codes and data provided in this dataset
Gasmat.rar
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
RAR Archive - 532.3 MB - MD5: 2f480b77c9db7c0b3fce17eeddc4530c
Data
3d matrices containing the gas path development in time along 3rd-dimension
GaussSmooth_test.m
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
Plain Text - 1.1 KB - MD5: 699637f38d1ae538c24706f2132b69f8
Code
code: Diffused Jaccard coefficient for a single image and its translation; helpful to understand the computation of Diffused Jaccard coefficient; calls "mygaussfilt.m"
Modelcounter_block.rar
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
RAR Archive - 2.9 MB - MD5: 0c23320bdad7b2b427d4ba191b6e77c3
Data
2d arrays, containing col1: loop counter number and col2: number of blocks invaded.
Moments.m
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
Plain Text - 962 B - MD5: a4c60d20771a1040ed1f89b4f38bed34
Code
code: Spatial moments (zeroth, first and second) computation of images in 2D space
mygaussfilt.m
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
Plain Text - 497 B - MD5: cf38db012533faddf3c33e38a13426e6
Code
code: Gaussian blurring kernel
MyPostProcessing.m
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
Plain Text - 8.1 KB - MD5: ca63840a125c066e0803c3d5b0524c0a
Code
code: main post-processing code (methods of comparison); calls "mygaussfilt.m" and "Moments.m"
Timematch_all_IP.mat
Jun 18, 2021 - Replication Data for: Overcoming the model-data-fit problem in porous media: A quantitative method to compare invasion-percolation models to high-resolution data
MATLAB Data - 5.5 MB - MD5: 548da79dda1450bd18c85d10276c1510
Data
cell array consisting the entire time-match sequence for each realization.
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