Tapan Mukerji

Tapan Mukerji

Stanford University

H-index: 50

North America-United States

About Tapan Mukerji

Tapan Mukerji, With an exceptional h-index of 50 and a recent h-index of 34 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Geosciences, Rock Physics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A novel Fourier neural operator framework for classification of multi-sized images: Application to 3D digital porous media

Well Placement Optimization for Avoiding Caves Using GANs and POMDPs

Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods

Soil geochemistry of hydrogen and other gases along the San Andreas Fault

Geostatistical Inversion for Subsurface Characterization Using Stein Variational Gradient Descent with Autoencoder Neural Network: An Application to Geologic Carbon Sequestration

Applications of deep neural networks in exploration seismology: A technical survey

Prediction of effective elastic moduli of rocks using Graph Neural Networks

Identifying Sub-environments in a Tidal Flat: An MDS Approach

Tapan Mukerji Information

University

Position

___

Citations(all)

19753

Citations(since 2020)

8457

Cited By

14667

hIndex(all)

50

hIndex(since 2020)

34

i10Index(all)

141

i10Index(since 2020)

101

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Tapan Mukerji Skills & Research Interests

Geosciences

Rock Physics

Top articles of Tapan Mukerji

Title

Journal

Author(s)

Publication Date

A novel Fourier neural operator framework for classification of multi-sized images: Application to 3D digital porous media

arXiv preprint arXiv:2402.11568

Ali Kashefi

Tapan Mukerji

2024/2/18

Well Placement Optimization for Avoiding Caves Using GANs and POMDPs

Rayan Kanfar

Lama El Halabi

Tyler Hall

Tapan Mukerji

2024/2/12

Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods

Mathematical Geosciences

Runhai Feng

Klaus Mosegaard

Tapan Mukerji

Dario Grana

2024/1/10

Soil geochemistry of hydrogen and other gases along the San Andreas Fault

International Journal of Hydrogen Energy

Yashee Mathur

Victor Awosiji

Tapan Mukerji

Allegra Hosford Scheirer

Kenneth E Peters

2024/1/2

Geostatistical Inversion for Subsurface Characterization Using Stein Variational Gradient Descent with Autoencoder Neural Network: An Application to Geologic Carbon Sequestration

Authorea Preprints

Mingliang Liu

Dario Grana

Tapan Mukerji

2024/3/21

Applications of deep neural networks in exploration seismology: A technical survey

Geophysics

S Mostafa Mousavi

Gregory C Beroza

Tapan Mukerji

Majid Rasht-Behesht

2024/1/1

Prediction of effective elastic moduli of rocks using Graph Neural Networks

Computer Methods in Applied Mechanics and Engineering

Jaehong Chung

Rasool Ahmad

WaiChing Sun

Wei Cai

Tapan Mukerji

2024/3/1

Identifying Sub-environments in a Tidal Flat: An MDS Approach

EGU General Assembly Conference Abstracts

Ankur Roy

Tapan Mukerji

Amitabha Chakrabarti

2023/5

Stochastic geomodeling of karst morphology by dynamic graph dissolution

Mathematical Geosciences

Rayan Kanfar

Tapan Mukerji

2023/9/1

rockphypy: An extensive Python library for rock physics modeling

SoftwareX

Jiaxin Yu

Tapan Mukerji

Per Avseth

2023/12/1

Computation of effective elastic moduli of rocks using hierarchical homogenization

Journal of the Mechanics and Physics of Solids

Rasool Ahmad

Mingliang Liu

Michael Ortiz

Tapan Mukerji

Wei Cai

2023/5/1

Spatial statistical analysis and geomodelling of banana holes using point patterns and generative adversarial networks

Rayan Kanfar

Charles Breithaupt

Tapan Mukerji

2023/8/27

Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image

Mathematical Geosciences

Runhai Feng

Klaus Mosegaard

Dario Grana

Tapan Mukerji

Thomas Mejer Hansen

2023/11/23

Joint inversion of geophysical data for geologic carbon sequestration monitoring: A differentiable physics‐informed neural network model

Journal of Geophysical Research: Solid Earth

Mingliang Liu

Divakar Vashisth

Dario Grana

Tapan Mukerji

2023

Formulating and Solving the Data-Consistent Geophysical Inverse Problem for Subsurface Modeling Applications

Alex Miltenberger

Lijing Wang

Tapan Mukerji

Jef Caers

2023/5/27

ChatGPT for Programming Numerical Problems of Fluid Mechanics

Bulletin of the American Physical Society

Ali Kashefi

Tapan Mukerji

2023/11/20

Hierarchical homogenization with deep‐learning‐based surrogate model for rapid estimation of effective permeability from digital rocks

Journal of Geophysical Research: Solid Earth

Mingliang Liu

Rasool Ahmad

Wei Cai

Tapan Mukerji

2023/2

Homogenizing elastic properties of large digital rock images by combining CNN with hierarchical homogenization method

arXiv preprint arXiv:2305.06519

Rasool Ahmad

Mingliang Liu

Michael Ortiz

Tapan Mukerji

Wei Cai

2023/5/11

Bayesian geophysical basin modeling with seismic kinematic metrics to quantify uncertainty for pore pressure prediction

Geophysics

Josue Fonseca

Anshuman Pradhan

Tapan Mukerji

2023/11/1

Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity

Journal of Machine Learning for Modeling and Computing

Ali Kashefi

Leonidas J Guibas

Tapan Mukerji

2023

See List of Professors in Tapan Mukerji University(Stanford University)

Co-Authors

H-index: 62
Gary Mavko, Gerald Mavko, Gerald M Mavko, GM Mavko, G M Mavko, G Mavko

Gary Mavko, Gerald Mavko, Gerald M Mavko, GM Mavko, G M Mavko, G Mavko

Stanford University

H-index: 53
Jack Dvorkin

Jack Dvorkin

King Fahd University of Petroleum and Minerals

H-index: 53
Jef Caers

Jef Caers

Stanford University

H-index: 43
Manika Prasad

Manika Prasad

Colorado School of Mines

H-index: 35
Dario Grana

Dario Grana

University of Wyoming

H-index: 31
Juan Luis Fernández-Martínez

Juan Luis Fernández-Martínez

Universidad de Oviedo

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