Modeling Strategies for Gas migration in Subsurface

This dataverse contains modeling data (percolation type) and comparison methods (codes) for the project models for gas migration in porous media.

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11 to 20 of 80 Results

mygaussfilt.m Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data Plain Text - 497 B - MD5: cf38db012533faddf3c33e38a13426e6 Gaussian blur filter
myintpCmap.m Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data Plain Text - 132 B - MD5: 9bec1c28645586b2f05bd1d42d761a37 interpolated colourmap
PercRankBar.m Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data Plain Text - 5.0 KB - MD5: be6b30efc8f03c167bed3a3392fa4532 code to produce Figures 7 and 8
PostProcessingMetric.m Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data Plain Text - 3.1 KB - MD5: 842d7b5a227a514a24e246c2544ca745 The code to calculate the Jaccard and Diffused Jaccard coefficient
README_Figures.txt Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data Plain Text - 655 B - MD5: 07579b6de88abbea6440644a9f738bc5 readme for the codes of the figures of the manuscript
README.txt Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data Plain Text - 1.0 KB - MD5: 536b5012864721b98e14dfc5429761d2 Readme for all the codes uploaded here, describing the model comparison process as seen in the manuscript.
RepresentTe.m Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data Plain Text - 2.8 KB - MD5: f9a28d18ab65e645e2a71d015c28dbf1 code for producing Figure 11
SaturationScatter.m Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data Plain Text - 1.7 KB - MD5: 44b66ec02e4fa7aef014bca585751a30 code to produce Figure 12
Time_match.m Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data Plain Text - 2.5 KB - MD5: 8fd8b1974a25bdf516ea6ca1089af1df The code to time match the model outpu and experimental images.
Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Oct 26, 2022 Banerjee, Ishani; Walter, Peter, 2022, "Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence", https://doi.org/10.18419/DARUS-2815, DaRUS, V1 This dataset contains the codes used for implementing the method of forced probabilities of the manuscript: The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Here, one can find the codes of implementation of the trick on stochastic invasion percolation (SIP) models discussed in the manuscript; it can be used by th...

mygaussfilt.m

Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

Plain Text - 497 B -

Gaussian blur filter

myintpCmap.m

Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

Plain Text - 132 B -

interpolated colourmap

PercRankBar.m

Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

Plain Text - 5.0 KB -

code to produce Figures 7 and 8

PostProcessingMetric.m

Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

Plain Text - 3.1 KB -

The code to calculate the Jaccard and Diffused Jaccard coefficient

README_Figures.txt

Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

Plain Text - 655 B -

readme for the codes of the figures of the manuscript

README.txt

Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

Plain Text - 1.0 KB -

Readme for all the codes uploaded here, describing the model comparison process as seen in the manuscript.

RepresentTe.m

Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

Plain Text - 2.8 KB -

code for producing Figure 11

SaturationScatter.m

Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

Plain Text - 1.7 KB -

code to produce Figure 12

Time_match.m

Feb 23, 2026 - Replication Data for: A framework for objectively comparing competing invasion percolation models based on highly-resolved image data

Plain Text - 2.5 KB -

The code to time match the model outpu and experimental images.

Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Oct 26, 2022

Banerjee, Ishani; Walter, Peter, 2022, "Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence", https://doi.org/10.18419/DARUS-2815, DaRUS, V1

This dataset contains the codes used for implementing the method of forced probabilities of the manuscript: The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Here, one can find the codes of implementation of the trick on stochastic invasion percolation (SIP) models discussed in the manuscript; it can be used by th...

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