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Ishani Banerjee
Ishani Banerjee
Doctoral Student, University of Stuttgart, Germany
Verified email at iws.uni-stuttgart.de - Homepage
Title
Cited by
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Year
Overcoming the Model‐Data‐Fit Problem in Porous Media: A Quantitative Method to Compare Invasion‐Percolation Models to High‐Resolution Data
I Banerjee, A Guthke, CJC Van De Ven, KG Mumford, W Nowak
Water Resources Research 57 (7), e2021WR029986, 2021
42021
The method of forced probabilities: a computation trick for Bayesian model evidence
I Banerjee, P Walter, A Guthke, KG Mumford, W Nowak
Computational Geosciences 27 (1), 45-62, 2023
22023
Comparison of Four Competing Invasion Percolation Models for Gas Flow in Porous Media
I Banerjee, A Guthke, CJC Van De Ven, KG Mumford, W Nowak
Authorea Preprints, 2023
2023
Stochastic model comparison and refinement strategies for gas migration in the subsurface
I Banerjee
2023
Computing Bayesian Model Evidence for high resolution data-sets using the Method of Forced Probabilities
P Walter, I Banerjee, A Guthke, K Mumford, W Nowak
AGU Fall Meeting Abstracts 2021, NG21A-04, 2021
2021
A Quantitative Method to Evaluate the Performance of Competing (Stochastic) Invasion Percolation Models under Different Gas-Flow Regimes
I Banerjee, A Guthke, C Van De Ven, K Mumford, W Nowak
AGU Fall Meeting Abstracts 2021, H12E-05, 2021
2021
The Method of Forced Probabilities: a Computation Trick for Bayesian Model Evidence
P Walter, I Banerjee, A Guthke, K Mumford, W Nowak
EGU General Assembly Conference Abstracts, EGU21-8381, 2021
2021
Comparison of Competing Invasion-Percolation Models for Simulation of Multiphase Flow in Porous Media
I Banerjee, A Guthke, K Mumford, W Nowak
EGU General Assembly Conference Abstracts, EGU21-8826, 2021
2021
Overcoming the Model-to-Experimental Data Fit Problem in Porous Media: a New Quantitative Method to Evaluate and Compare Models
I Banerjee, A Guthke, CJC Van De Ven, K Mumford, W Nowak
AGU Fall Meeting Abstracts 2020, H009-0020, 2020
2020
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