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Tapan Mukerji

Stanford University

367 Panama St

Stanford, CA 94305

United States

SCHOLARLY PAPERS

5

DOWNLOADS

607

TOTAL CITATIONS

2

Scholarly Papers (5)

Physics-Informed Multi-Grid Neural Operator: Theory and an Application to Porous Flow Simulation

Number of pages: 36 Posted: 16 Jan 2024
Suihong Song, Tapan Mukerji and Dongxiao Zhang
Stanford University, Stanford University and Southern University of Science and Technology - School of Environmental Science and Engineering
Downloads 245 (315,481)

Abstract:

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multi-grid neural operator, Physics-informed neural networks, PDE solvers, porous flow simulations, Inversion

Physics-Informed Multi-Grid Neural Operator: Theory and an Application to Porous Flow Simulation

Number of pages: 36 Posted: 21 Dec 2023
Suihong Song, Tapan Mukerji and Dongxiao Zhang
Stanford University, Stanford University and Southern University of Science and Technology - School of Environmental Science and Engineering
Downloads 41 (1,196,631)

Abstract:

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multi-grid neural operator, physics-informed neural networks, PDE solvers, porous flow simulations, inversion

2.

Rockphypy: An Extensive Python Library for Rock Physics Modeling

Number of pages: 21 Posted: 27 Jun 2023
Jiaxin Yu, Tapan Mukerji and Per Åge Avseth
Norwegian University of Science and Technology (NTNU), Stanford University and Norwegian University of Science and Technology (NTNU)
Downloads 176 (428,796)
Citation 2

Abstract:

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python, Rock physics models, interpretation, Rock physics diagnostics

3.

Homogenizing Elastic Properties of Large Digital Rock Images by Combining Cnn with Hierarchical Homogenization Method

Number of pages: 16 Posted: 12 May 2023
Stanford University, Stanford University, California Institute of Technology (Caltech), Stanford University and Stanford University
Downloads 64 (924,743)

Abstract:

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Digital rock physics, deep learning, Elastic properties, Hierarchical homogenization method, 3D convolutional neural network

4.

Prediction of Effective Elastic Moduli of Rocks Using Graph Neural Networks

Number of pages: 28 Posted: 02 Nov 2023
Stanford University, Stanford University, Columbia University, Stanford University and Stanford University
Downloads 44 (1,133,231)

Abstract:

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Digital rock physics, Graph Neural Networks, Elastic moduli

5.

Assessing Uncertainty of Source Rock Properties Using Monte Carlo Basin Modeling – Application to Canning Basin, Australia

Number of pages: 25 Posted: 02 Aug 2025
Jiayuan Huang and Tapan Mukerji
Stanford University and Stanford University
Downloads 37 (1,236,159)

Abstract:

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Uncertainty quantification, Monte Carlo simulation, Basin and Petroleum System modeling, Unconventional shale, Thermal maturity, Source rock properties, Canning Basin