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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61 to 70 of 80 Results

SIP.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 3.5 KB - MD5: 31801d5ca09dbe01307e9d2311134cef
SIP.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 3.5 KB - MD5: 31801d5ca09dbe01307e9d2311134cef
ThreshCalc.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 827 B - MD5: 6ec7584dacb8f163e8f786e63224eeba
ThreshCalc.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 827 B - MD5: 6ec7584dacb8f163e8f786e63224eeba
Update_rule.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 600 B - MD5: 0384179e3f205561736c2f61dff346fd
Update_rule.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 1.6 KB - MD5: 3aed09555d0bc42ad27aceea6ea53c3e
Update_rule_trick.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 7.7 KB - MD5: 1929b8bc36cd8708a612f9df8f92395e
Update_rule_trick.m Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence Plain Text - 2.0 KB - MD5: d90a98b9e9fc4faa69b37678bdc359c2
y0_clean.mat Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence MATLAB Data - 3.0 MB - MD5: 681d669f8000d546624b3ee763767e21
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 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 and post-processing codes for the manuscript can be found here.

SIP.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 3.5 KB -

SIP.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 3.5 KB -

ThreshCalc.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 827 B -

ThreshCalc.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 827 B -

Update_rule.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 600 B -

Update_rule.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 1.6 KB -

Update_rule_trick.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 7.7 KB -

Update_rule_trick.m

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

Plain Text - 2.0 KB -

y0_clean.mat

Oct 26, 2022 - Replication Data for: The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence

MATLAB Data - 3.0 MB -

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

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 and post-processing codes for the manuscript can be found here.

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