Bio


Tapan Mukerji co-directs the Stanford Center for Earth Resources Forecasting (SCERF), the Stanford Rocks and Geomaterials Project (SRGP), and the Stanford Basin Processes and Subsurface Modeling (BPSM) research groups.

The focus of Tapan’s multi-disciplinary research, with students and colleagues, has been on integrating rock physics, wave propagation physics, spatial data science and machine learning, and their broad applications in remote sensing of subsurface systems and processes, stochastic geomodeling, uncertainty quantification and value of information in Earth sciences. He uses theoretical, computational, and statistical methods, to discover and understand fundamental relations between geophysical data and rock properties, to quantify uncertainty in subsurface models, and to address value of information for decision making under uncertainty. He has been an invited keynote speaker and lecturer for short courses on rock physics and geostatistics. He was awarded the Karcher Award in 2000 by the Society of Exploration Geophysicists. In 2014 Tapan (together with Gary Mavko, Jack Dvorkin and Dario Grana) was awarded the ENI award for pioneering innovations in theoretical and practical rock physics.

Academic Appointments


Administrative Appointments


  • Professor (Research), Energy Resources Engineering, Stanford University (2019 - Present)
  • Co-director, Stanford Center for Earth Resources Forecasting (SCERF), Stanford University (2008 - Present)
  • Co-director, Basin Processes and Subsurface Modeling (BPSM), Stanford University (2010 - Present)
  • Co-director, Stanford Rocks and Geomaterials Project (SRGP), Stanford (2022 - Present)
  • Co-director, Stanford Rock Physics and Borehole Geophysics Project (SRB), Stanford University (2019 - 2022)
  • Associate Professor (Research), Energy Resources Engineering, Stanford University (2017 - 2018)
  • Associate Professor (Research), Energy Resources Engineering and Geophysics, Stanford University (2013 - 2017)
  • Associate Professor (Research), Energy Resources Engineering, Stanford University (2008 - 2012)
  • Senior Research Scientist, Stanford University (2006 - 2008)
  • Research Associate, Stanford University (1999 - 2006)

Honors & Awards


  • Finalist, Publication Competition Award, Decision Analysis Society, Institute for Operations Research and Management Science (INFORMS) (2017)
  • Karcher Award for Outstanding Young Geophysicist, Society of Exploration Geophysicists (2000)
  • ENI Award 2014: New frontiers of Hydrocarbons - upstream, ENI - Italy (2014)
  • Best paper, honorable mention, Society of Exploration Geophysicists (2020)
  • Invited Golden Jubilee Lecture, Dept. of Applied Geology, Dibrugarh University, India (2019)
  • Invited Lecture, College of Mechanics and Materials, Hohai University, China (2019)
  • Invited speaker, Institute of Pure and Applied Mathematics (IPAM) (2017)
  • Invited speaker, International Union of Pure and Applied Physics (IUPAP), Conference on Computational Physics (2015)
  • Best paper, International Association of Mathematical Geosciences (2010)
  • Best paper, Society of Petroleum Geophysicists (SPG) International Conference, Hyderabad, India (2004)
  • Best paper, honorable mention, Society of Exploration Geophysicists (1998)
  • Invited keynote speaker, Brazilian Geophysical Society (SBGF) (2017)
  • Invited keynote speaker, SEG Earth Model Forum, Rendering Rock Properties for Qualitative and Quantitative Interpretation (2015)
  • Invited speaker, 3rd Petroleum Geostatistics Conference, EAGE, Biarritz (2015)
  • Invited keynote speaker, SPWLA Topical Conference,Taos, New Mexico, Seismic Petrophysics: Unlocking the Value of Integration (2013)
  • Invited keynote speaker, Society of Petroleum Geophysicists (SPG) International Conference, Hyderabad, India (2012)
  • Invited speaker, Joint SEG/SPE/AAPG Summer Research Workshop, New Advances in Integrated Reservoir Surveillance (2012)
  • Invited Speaker, Recent Advances and Road Ahead, Society of Exploration Geophysicists Annual International Meeting (2011)
  • Haider Fellowship, Stanford University (1997)
  • Green Fellowship, Stanford University (1989-1990)
  • CSIR Fellowship, Council of Scientific and Industrial Research, India (1989)
  • University First (M.S.), Banaras Hindu University, India (1989)
  • University First (B.S.), Banaras Hindu University, India (1986)

Boards, Advisory Committees, Professional Organizations


  • Member, AGU, SEG, EAGE (1990 - Present)
  • Departmental admissions committee, Stanford University (2012 - Present)
  • Associate Editor, Geophysics, Society of Exploration Geophysicists (2001 - Present)
  • Associate Editor, Computers & Geosciences, International Association of Mathematical Geosciences (2011 - Present)
  • Dissertation reading committees; dissertation defense chair, Stanford University (2002 - Present)
  • Technical organizing committee, SBGF workshop on uncertainty quantification in reservoir characterization (2017 - 2017)
  • Technical organizing committee, SPE Workshop on Integration of 4D Seismic and Production Data for Reservoir Management - Application to Norne (Norway) (2013 - 2013)
  • Technical organizing committee, Joint SPE/AAPG/SEG Applied Technology Workshop on Quantitative Interpretation (2010 - 2010)
  • Reviewer, Department of Energy, Office of Basic Energy Sciences (2013 - 2013)
  • Lecturer, Mathematical Geophysics Summer School, Department of Mathematics, Stanford University (2001 - 2001)
  • Departmental admissions committee, Stanford University (2010 - 2010)
  • Invited lecturer, Houston Geophysical Society (2008 - 2008)
  • Peer review committee, Department of Energy, Stanford University (2003 - 2003)
  • Co-chair, technical committee, 11th Venezuelan Geophysical Conference (2002 - 2002)
  • Reviewer, Professional journals (1990 - Present)

Professional Education


  • Ph.D., Stanford University, U.S.A., Geophysics (1995)
  • M.Sc.(Tech), Banaras Hindu University, India, Geophysics (1989)
  • B.Sc., Banaras Hindu University, India, Physics (1986)

Current Research and Scholarly Interests


Research
The focus of my research, with students and colleagues, has been on integrating rock physics, wave propagation physics, data sciences and machine learning, and their broad applications in remote sensing of subsurface systems and processes and subsurface uncertainty quantification. Over the years, I have been involved in the research activities of different industrial consortia - Stanford Rock Physics and Borehole Geophysics (SRB), Stanford Center for Earth Resources Forecasting (SCERF), Basin Processes and Subsurface Modeling (BPSM), Stanford Rocks and Geomaterials Project (SRGP) and Smart Fields Consortium (SFC). My research uses theoretical, computational, and statistical models, to discover and understand fundamental relations between geophysical data and reservoir properties, to quantify uncertainty in our models, and to address value of information for decision making under uncertainty. I am particularly interested in forging links between research disciplines in geosciences, engineering, and decision sciences. I believe such research links across traditional boundaries are critical for the future of energy resources research.

Teaching
My courses for advanced undergraduates and graduates introduce students to mathematical methods for modeling, data analysis, and simulation using modern high-level software. The students come not only from the School of Earth Sciences but also from engineering, and biology. I continue to co-teach graduate level courses on rock physics and practice of geostatistics and seismic data integration. With my co-authors, I have written The Rock Physics Handbook, Quantitative Seismic Interpretation, Seismic Reservoir Modeling, Quantitative Analysis of Geopressure, and Value of Information in the Earth Sciences. These books are valuable resources for students, and researchers, and have been used as course material for university and industry courses. I enjoy advising and mentoring graduate students in their research work. Of course, one of the special rewards of teaching students is that I often learn as much from them as they do from me!

Professional Activities
Co-director SCERF, SRGP, BPSM; associate editor, Computers and Geosciences (2011-present), associate editor, Geophysics, (2001-present); invited instructor, Mathematical Geophysics Summer School, Stanford, (2001); co-chair, technical committee, 11th Venezuelan Geophysical Congress, (2002); proposal review, Department of Energy and American Chemical Society (2003-present); manuscript review for professional journals; member, AAAS, AGU, SEG, EAGE, SPE.

2023-24 Courses


Stanford Advisees


All Publications


  • Prediction of effective elastic moduli of rocks using Graph Neural Networks COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING Chung, J., Ahmad, R., Sun, W., Cai, W., Mukerji, T. 2024; 421
  • Estimation of Reservoir Fracture Properties from Seismic Data Using Markov Chain Monte Carlo Methods MATHEMATICAL GEOSCIENCES Feng, R., Mosegaard, K., Mukerji, T., Grana, D. 2024
  • Soil geochemistry of hydrogen and other gases along the San Andreas fault INTERNATIONAL JOURNAL OF HYDROGEN ENERGY Mathur, Y., Awosiji, V., Mukerji, T., Scheirer, A., Peters, K. E. 2024; 50: 411-419
  • rockphypy: An extensive Python library for rock physics modeling SOFTWAREX Yu, J., Mukerji, T., Avseth, P. 2023; 24
  • Stochastic Facies Inversion with Prior Sampling by Conditional Generative Adversarial Networks Based on Training Image MATHEMATICAL GEOSCIENCES Feng, R., Mosegaard, K., Grana, D., Mukerji, T., Hansen, T. 2023
  • Bayesian geophysical basin modeling with seismic kinematic metrics to quantify uncertainty for pore pressure prediction GEOPHYSICS Fonseca, J., Pradhan, A., Mukerji, T. 2023; 88 (6): M239-M259
  • Stochastic Geomodeling of Karst Morphology by Dynamic Graph Dissolution MATHEMATICAL GEOSCIENCES Kanfar, R., Mukerji, T. 2023
  • Prediction of fluid flow in porous media by sparse observations and physics-informed PointNet. Neural networks : the official journal of the International Neural Network Society Kashefi, A., Mukerji, T. 2023; 167: 80-91

    Abstract

    We predict steady-state Stokes flow of fluids within porous media at pore scales using sparse point observations and a novel class of physics-informed neural networks, called "physics-informed PointNet" (PIPN). Taking the advantages of PIPN into account, three new features become available compared to physics-informed convolutional neural networks for porous medium applications. First, the input of PIPN is exclusively the pore spaces of porous media (rather than both the pore and grain spaces). This feature diminishes required computer memory. Second, PIPN represents the boundary of pore spaces smoothly and realistically (rather than pixel-wise representations). Third, spatial resolution can vary over the physical domain (rather than equally spaced resolutions). This feature enables users to reach an optimal resolution with a minimum computational cost. The performance of our framework is evaluated by the study of the influence of noisy sensor data, pressure observations, and spatial correlation length.

    View details for DOI 10.1016/j.neunet.2023.08.006

    View details for PubMedID 37625244

  • GANSim-surrogate: An integrated framework for stochastic conditional geomodelling JOURNAL OF HYDROLOGY Song, S., Zhang, D., Mukerji, T., Wang, N. 2023; 620
  • Computation of effective elastic moduli of rocks using hierarchical homogenization JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS Ahmad, R., Liu, M., Ortiz, M., Mukerji, T., Cai, W. 2023; 174
  • Hierarchical Homogenization With Deep-Learning-Based Surrogate Model for Rapid Estimation of Effective Permeability From Digital Rocks JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH Liu, M., Ahmad, R., Cai, W., Mukerji, T. 2023; 128 (2)
  • Joint Inversion of Geophysical Data for Geologic Carbon Sequestration Monitoring: A Differentiable Physics‐Informed Neural Network Model Journal of Geophysical Research: Solid Earth Liu, M., Vashisth, D., Grana, D., Mukerji, T. 2023; 128 (3)

    View details for DOI 10.1029/2022JB025372

  • Physics-informed PointNet: A deep learning solver for steady-state incompressible flows and thermal fields on multiple sets of irregular geometries JOURNAL OF COMPUTATIONAL PHYSICS Kashefi, A., Mukerji, T. 2022; 468
  • Petrophysical inversion based on f-s-r amplitude-variation-with-offset linearization and canonical correlation analysis GEOPHYSICS Grana, D., Russell, B., Mukerji, T. 2022; 87 (6): M247-M258
  • Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples GEOPHYSICS Grana, D., Azevedo, L., De Figueiredo, L., Connolly, P., Mukerji, T. 2022; 87 (5): M199-M216
  • Brown and Korringa's expression for the saturated bulk modulus at high frequencies: Modification of Mavko and Jizba's squirt flow model GEOPHYSICS Zhao, L., Chen, T., Mukerji, T., Zhang, M., Xing, T. 2022; 87 (4): MR201-MR208
  • Randomized Tensor Decomposition for Large-Scale Data Assimilation Problems for Carbon Dioxide Sequestration MATHEMATICAL GEOSCIENCES Liu, M., Grana, D., Mukerji, T. 2022
  • Quantitative evaluation of the roles of ocean chemistry and climate on ooid size across the Phanerozoic: Global versus local controls SEDIMENTOLOGY Koeshidayatullah, A., Trower, E. J., Li, X., Mukerji, T., Lehrmann, D. J., Morsilli, M., Al-Ramadan, K., Payne, J. L. 2022

    View details for DOI 10.1111/sed.12998

    View details for Web of Science ID 000797610500001

  • Multiscale Fusion of Digital Rock Images Based on Deep Generative Adversarial Networks GEOPHYSICAL RESEARCH LETTERS Liu, M., Mukerji, T. 2022; 49 (9)
  • Consistency and prior falsification of training data in seismic deep learning: Application to offshore deltaic reservoir characterization GEOPHYSICS Pradhan, A., Mukerji, T. 2022; 87 (3): N45-N61
  • Application of Bayesian Generative Adversarial Networks to Geological Facies Modeling MATHEMATICAL GEOSCIENCES Feng, R., Grana, D., Mukerji, T., Mosegaard, K. 2022
  • Shape Carving Methods of Geologic Body Interpretation from Seismic Data Based on Deep Learning ENERGIES Petrov, S., Mukerji, T., Zhang, X., Yan, X. 2022; 15 (3)

    View details for DOI 10.3390/en15031064

    View details for Web of Science ID 000754938300001

  • Duration and Intensity of End-Permian Marine Anoxia GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS Pimentel-Galvan, M., Lau, K. V., Maher, K., Mukerji, T., Lehrmann, D. J., Altiner, D., Payne, J. L. 2022; 23 (1)
  • GANSim-3D for Conditional Geomodeling: Theory and Field Application Water Resources Research Song, S., Mukerji, T., Hou, J., Zhang, D., Lyu, X. 2022

    View details for DOI 10.1029/2021WR031865

  • Bridging the Gap Between Geophysics and Geology With Generative Adversarial Networks IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Song, S., Mukerji, T., Hou, J. 2022; 60
  • Stochastic inversion of gravity, magnetic, tracer, lithology, and fault data for geologically realistic structural models: Patua Geothermal Field case study GEOTHERMICS Pollack, A., Cladouhos, T. T., Swyer, M. W., Siler, D., Mukerji, T., Horne, R. N. 2021; 95
  • Point-cloud deep learning of porous media for permeability prediction PHYSICS OF FLUIDS Kashefi, A., Mukerji, T. 2021; 33 (9)

    View details for DOI 10.1063/5.0063904

    View details for Web of Science ID 000717659200008

  • Fast inversion of gravimetric profiles via a modified version of the Pereyra-Rosen algorithm JOURNAL OF EARTH SYSTEM SCIENCE Fernandez-Muniz, M., Pallero, J. G., Mukerji, T., Fernandez-Martinez, J. L. 2021; 130 (3)
  • A Comparative Experiment on Heterogeneous Distributions of Stress Field for Underground Panels With Different Geological Setting in North China IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING Chen, T., Lin, Z., Liu, Z., Mukerji, T. 2021
  • Bulk modulus for fluid-saturated rocks at high frequency: modification of squirt flow model proposed by Mavko & Jizba GEOPHYSICAL JOURNAL INTERNATIONAL Zhao, L., Chen, T., Mukerji, T., Tang, G. 2021; 225 (3): 1714-1724
  • Simulation of Fluvial Patterns With GANs Trained on a Data Set of Satellite Imagery WATER RESOURCES RESEARCH Nesvold, E., Mukerji, T. 2021; 57 (5)
  • Geological Facies modeling based on progressive growing of generative adversarial networks (GANs) COMPUTATIONAL GEOSCIENCES Song, S., Mukerji, T., Hou, J. 2021
  • GANSim: Conditional Facies Simulation Using an Improved Progressive Growing of Generative Adversarial Networks (GANs) MATHEMATICAL GEOSCIENCES Song, S., Mukerji, T., Hou, J. 2021
  • Analysis of Spatially Distributed Fracture Attributes: Normalized Lacunarity Ratio JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH Roy, A., Perfect, E., Mukerji, T. 2021; 126 (2)
  • Probabilistic Evaluation of Geoscientific Hypotheses with Geophysical Data: Application to Electrical Resistivity Imaging of a Fractured Bedrock Zone Journal of Geophysical Research: Solid Earth Miltenberger, A., Uhlemann, S., Mukerji, T., Dafflon, B., Williams, K., Wang, L., Wainwright, H. 2021; 126

    View details for DOI 10.1029/2021JB021767

  • Bayesian Optimized Monte Carlo Planning Mern, J., Yildiz, A., Sunberg, Z., Mukerji, T., Kochenderfer, M. J., Assoc Advancement Artificial Intelligence ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE. 2021: 11880-11887
  • Improved POMDP Tree Search Planning with Prioritized Action Branching Mern, J., Yildiz, A., Bush, L., Mukerji, T., Kochenderfer, M. J., Assoc Advancement Artificial Intelligence ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE. 2021: 11888-11894
  • A Graph-Theoretic Monte Carlo Framework for Comparing Delta Surface Dynamics and Subsurface Structure in Numerical Models and Physical Experiments Mathematical Geosciences Miltenberger, A., Mukerji, T., Hariharan, J., Passalacqua, P., Nesvold, E. 2021; 53 (6)
  • Petrophysical properties prediction from prestack seismic data using convolutional neural networks GEOPHYSICS Das, V., Mukerji, T. 2020; 85 (5): N41–N55
  • Approximate Bayesian inference of seismic velocity and pore-pressure uncertainty with basin modeling, rock physics, and imaging constraints GEOPHYSICS Pradhan, A., Dutta, N. C., Le, H. Q., Biondi, B., Mukerji, T. 2020; 85 (5): ID19–ID34
  • Lithofacies-dependent rock-physics templates of an unconventional shale reservoir on the North Slope, Alaska INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION Minh Tran, Mukerji, T., Scheirer, A. 2020; 8 (3): T611–T623
  • Seismic Bayesian evidential learning: estimation and uncertainty quantification of sub-resolution reservoir properties COMPUTATIONAL GEOSCIENCES Pradhan, A., Mukerji, T. 2020; 24 (3): 1121–40
  • Introduction to special section: Rock properties from AVA/AVO analysis INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION Zhang, Z., Bao, C., Cardona, R., Castagna, J., Dygert, T., Mukerji, T., Gelinsky, S., Russell, B., Sun, Y., Zhang, S. 2020; 8 (1)
  • A spatial-statistical investigation of surface expressions associated with cyclic steaming in the Midway-Sunset Oil Field, California GEOMECHANICS AND GEOPHYSICS FOR GEO-ENERGY AND GEO-RESOURCES Pollack, A., Mukerji, T., Fu, P., Nelson, D., Bartling, B., Toland, M., Lopez, A., Guice, R. 2020; 6 (1)
  • Accounting for subsurface uncertainty in enhanced geothermal systems to make more robust techno-economic decisions APPLIED ENERGY Pollack, A., Mukerji, T. 2019; 254
  • Compact models for adaptive sampling in marine robotics INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH Fossum, T., Ryan, J., Mukerji, T., Eidsvik, J., Maughan, T., Ludvigsen, M., Rajan, K. 2019
  • Convolutional neural network for seismic impedance inversion GEOPHYSICS Das, V., Pollack, A., Wollner, U., Mukerji, T. 2019; 84 (6): R869–R880
  • Value of information analysis for subsurface energy resources applications APPLIED ENERGY Dutta, G., Mukerji, T., Eidsvik, J. 2019; 252
  • Value of information of time-lapse seismic data by simulation-regression: comparison with double-loop Monte Carlo COMPUTATIONAL GEOSCIENCES Dutta, G., Mukerji, T., Eidsvik, J. 2019; 23 (5): 1049–64
  • Static and dynamic effective moduli of elastic-perfectly plastic granular aggregates under normal compression GEOPHYSICS Kerimov, A., Mavko, G., Mukerji, T., Dvorkin, J. 2019; 84 (5): MR185–MR194
  • Prestack and poststack inversion using a physics-guided convolutional neural network INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION Biswas, R., Sen, M. K., Das, V., Mukerji, T. 2019; 7 (3): SE161–SE174
  • Numerical simulation of coupled fluid-solid interaction at the pore scale: A digital rock-physics technology GEOPHYSICS Das, V., Mukerji, T., Mavko, G. 2019; 84 (4): WA71–WA81
  • Particula: A simulator tool for computational rock physics of granular media GEOPHYSICS Al Ibrahim, M. A., Kerimov, A., Mukerji, T., Mavko, G. 2019; 84 (3): F85–F95
  • Scale effects of velocity dispersion and attenuation (Q(-1)) in layered viscoelastic medium GEOPHYSICS Das, V., Mukerji, T., Mavko, G. 2019; 84 (3): T147–T166
  • Correlating geologic and seismic data with unconventional resource production curves using machine learning GEOPHYSICS Smith, R., Mukerji, T., Lupo, T. 2019; 84 (2): O39–O47
  • What Earth Properties and Engineering Decisions Most Influence the Productivity of an Enhanced Geothermal System? Pollack, A., Mukerji, T., Yan, J., Yang, H. X., Li, H., Chen ELSEVIER SCIENCE BV. 2019: 6024–29
  • The Influence of Convex Particles' Irregular Shape and Varying Size on Porosity, Permeability, and Elastic Bulk Modulus of Granular Porous Media: Insights From Numerical Simulations JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH Kerimov, A., Mavko, G., Mukerji, T., Dvorkin, J., Al Ibrahim, M. A. 2018; 123 (12): 10563–82
  • Integrating statistical rock physics and pressure and thermal history modeling to map reservoir lithofacies in the deepwater Gulf of Mexico GEOPHYSICS Alkawai, W. H., Mukerji, T., Scheirer, A., Graham, S. A. 2018; 83 (4): IM15–IM28
  • Combining seismic reservoir characterization workflows with basin modeling in the deepwater Gulf of Mexico Mississippi Canyon area AlKawai, W. H., Mukerji, T., Scheirer, A., Graham, S. A. AMER ASSOC PETROLEUM GEOLOGIST. 2018: 629–52
  • Mechanical trapping of particles in granular media PHYSICAL REVIEW E Kerimov, A., Mavko, G., Mukerji, T., Al Ibrahim, M. A. 2018; 97 (2): 022907

    Abstract

    Mechanical trapping of fine particles in the pores of granular materials is an essential mechanism in a wide variety of natural and industrial filtration processes. The progress of invading particles is primarily limited by the network of pore throats and connected pathways encountered by the particles during their motion through the porous medium. Trapping of invading particles is limited to a depth defined by the size, shape, and distribution of the invading particles with respect to the size, shape, and distribution of the host porous matrix. Therefore, the trapping process, in principle, can be used to obtain information about geometrical properties, such as pore throat and particle size, of the underlying host matrix. A numerical framework is developed to simulate the mechanical trapping of fine particles in porous granular media with prescribed host particle size, shape, and distribution. The trapping of invading particles is systematically modeled in host packings with different host particle distributions: monodisperse, bidisperse, and polydisperse distributions of host particle sizes. Our simulation results show quantitatively and qualitatively to what extent trapping behavior is different in the generated monodisperse, bidisperse, and polydisperse packings of spherical particles. Depending on host particle size and distribution, the information about extreme estimates of minimal pore throat sizes of the connected pathways in the underlying host matrix can be inferred from trapping features, such as the fraction of trapped particles as a function of invading particle size. The presence of connected pathways with minimum and maximum of minimal pore throat diameters can be directly obtained from trapping features. This limited information about the extreme estimates of pore throat sizes of the connected pathways in the host granular media inferred from our numerical simulations is consistent with simple geometrical estimates of extreme value of pore and throat sizes of the densest structural arrangements of spherical particles and geometrical Delaunay tessellation analysis of the pore space of host granular media. Our results suggest simple relations between the host particle size and trapping features. These relationships can be potentially used to describe both the dynamics of the mechanical trapping process and the geometrical properties of the host granular media.

    View details for PubMedID 29548139

  • Integrating basin modeling with seismic technology and rock physics GEOPHYSICAL PROSPECTING Al Kawai, W., Mukerji, T. 2016; 64 (6): 1556-1574
  • On microscale heterogeneity in granular media and its impact on elastic property estimation GEOPHYSICS Sain, R., Mukerji, T., Mavko, G. 2016; 81 (6): D561-D571
  • The influence of resolution on scale-dependent clustering in fracture spacing data INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION Roy, A., Aydin, A., Mukerji, T. 2016; 4 (3): T387-T394
  • Regularized sparse-grid geometric sampling for uncertainty analysis in non-linear inverse problems GEOPHYSICAL PROSPECTING Azevedo, L., Tompkins, M. J., Mukerji, T. 2016; 64 (2): 320-334
  • Geological realism in hydrogeological and geophysical inverse modeling: A review ADVANCES IN WATER RESOURCES Linde, N., Renard, P., Mukerji, T., Caers, J. 2015; 86: 86-101
  • Probabilistic falsification of prior geologic uncertainty with seismic amplitude data: Application to a turbidite reservoir case GEOPHYSICS Scheidt, C., Jeong, C., Mukerji, T., Caers, J. 2015; 80 (5): M89-M100
  • In situ identification of high vertical stress areas in an underground coal mine panel using seismic refraction tomography INTERNATIONAL JOURNAL OF COAL GEOLOGY Chen, T., Wang, X., Mukerji, T. 2015; 149: 55-66
  • Bayesian inversion of time-lapse seismic data for the estimation of static reservoir properties and dynamic property changes GEOPHYSICAL PROSPECTING Grana, D., Mukerji, T. 2015; 63 (3): 637-655
  • Fluid substitution in multimineralic rocks with large mineral stiffness contrast GEOPHYSICS Saxena, N., Mavko, G., Mukerji, T. 2015; 80 (3): L11-L33
  • Comparative analysis of the solution of linear continuous inverse problems using different basis expansions JOURNAL OF APPLIED GEOPHYSICS Fernandez-Muniz, Z., Fernandez-Martinez, J. L., Srinivasan, S., Mukerji, T. 2015; 113: 92-102
  • Permeability characterization of natural compaction bands using core flooding experiments and three-dimensional image-based analysis: Comparing and contrasting the results from two different methods AAPG BULLETIN Deng, S., Zuo, L., Aydin, A., Dvorkin, J., Mukerji, T. 2015; 99 (1): 27-49
  • Value of information analysis and Bayesian inversion for closed skew-normal distributions: Applications to seismic amplitude variation with offset data GEOPHYSICS Rezaie, J., Eidsvik, J., Mukerji, T. 2014; 79 (4): R151-R163
  • How computational rock-physics tools can be used to simulate geologic processes, understand pore-scale heterogeneity, and refine theoretical models The Leading Edge Sain, R., Mukerji, T., Mavko, G. 2014; 33: 324-334
  • Sensitivity study of rock-physics parameters for modeling time-lapse seismic response of Norne field GEOPHYSICS Suman, A., Mukerji, T. 2013; 78 (6): D511-D523
  • Building Bayesian networks from basin-modelling scenarios for improved geological decision making PETROLEUM GEOSCIENCE Martinelli, G., Eidsvik, J., Sinding-Larsen, R., Rekstad, S., Mukerji, T. 2013; 19 (3): 289-304
  • Change in effective bulk modulus upon fluid or solid substitution GEOPHYSICS Saxena, N., Mavko, G., Mukerji, T. 2013; 78 (4): L45-L56
  • A methodology for quantifying the value of spatial information for dynamic Earth problems STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT Trainor-Guitton, W. J., Mukerji, T., Knight, R. 2013; 27 (4): 969-983
  • Estimating Brown-Korringa constants for fluid substitution in multimineralic rocks GEOPHYSICS Mavko, G., Mukerji, T. 2013; 78 (3): L27-L35
  • Statistical integration of time-lapse seismic and electromagnetic data with a PDF upscaling method using multi-point geostatistics SEG Lee, J., Mukerji, T., Tompkins, M. SEG Exp. Abstr.. 2013
  • Sensitivity analysis and cascaded interpretation scheme for subtle seismic signatures in thin shaly-sand reservoirs SEG Dejtrakulwong, P., Mavko, G., Mukerji, T. SEG Exp. Abstr.. 2013
  • Joint estimation of rock properties and dynamic property changes from time-lapse seismic data SEG Grana, D., Mukerji, T. SEG Exp. Abstr.. 2013
  • Digital rock physics benchmarks-Part I: Imaging and segmentation COMPUTERS & GEOSCIENCES Andrae, H., Combaret, N., Dvorkin, J., Glatt, E., Han, J., Kabel, M., Keehm, Y., Krzikalla, F., Lee, M., Madonna, C., Marsh, M., Mukerji, T., Saenger, E. H., Sain, R., Saxena, N., Ricker, S., Wiegmann, A., Zhan, X. 2013; 50: 25-32
  • Evaluating stress concentration zones in a coal mine by refraction tomography: An in situ example from East China SEG Ann. Mtg. Chen, T., Wang, X., Mukerji, T. SEG Exp. Abstr. 2013
  • Digital rock physics benchmarks-part II: Computing effective properties COMPUTERS & GEOSCIENCES Andrae, H., Combaret, N., Dvorkin, J., Glatt, E., Han, J., Kabel, M., Keehm, Y., Krzikalla, F., Lee, M., Madonna, C., Marsh, M., Mukerji, T., Saenger, E. H., Sain, R., Saxena, N., Ricker, S., Wiegmann, A., Zhan, X. 2013; 50: 33-43
  • How to design a powerful family of particle swarm optimizers for inverse modelling TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL Fernandez Martinez, J. L., Garcia Gonzalo, E., Fernandez Muniz, Z., Mukerji, T. 2012; 34 (6): 705-719
  • Stochastic inversion of facies from seismic data based on sequential simulations and probability perturbation method GEOPHYSICS Grana, D., Mukerji, T., Dvorkin, J., Mavko, G. 2012; 77 (4): M53-M72
  • Quantitative log interpretation and uncertainty propagation of petrophysical properties and facies classification from rock-physics modeling and formation evaluation analysis GEOPHYSICS Grana, D., Pirrone, M., Mukerji, T. 2012; 77 (3): WA45-WA63
  • Multiphysics borehole geophysical measurements, formation evaluation, petrophysics, and rock physics - Introduction GEOPHYSICS Torres-Verdin, C., Revil, A., Oristaglio, M., Mukerji, T. 2012; 77 (3): WA1-WA2
  • Exact and Approximate Solid Substitution Transforms SEG Annual Meeting Saxena, N., Mavko, G., Mukerji, T. SEG Exp. Abstr.. 2012
  • Building Bayesian networks from basin modeling scenarios for decision making under geologic uncertainty Ninth International Geostatistics Congress Martinelli, G., Tviberg, S., Eidsvik, J., Sinding-Larsen, R., Mukerji, T. 2012
  • Linking geostatistics with basin and petroleum system modeling: Assessment of spatial uncertainties Ninth International Geostatistics Congress Jia, B., Mukerji, T., Scheirer, A. H. 2012
  • Adaptive Spatial Resampling Applied to Seismic Inverse Modeling Ninth International Geostatistics Congress Jeong, C., Mukerji, T., Mariethoz, G. 2012
  • Sequential Simulations of Mixed Discrete-Continuous Properties: Sequential Gaussian Mixture Simulation Geostatistics Oslo 2012 Grana, D., Mukerji, T., Dovera, L., Della Rossa, E. edited by Abrahamsen, et al., P. Springer Science, Dordrecht. 2012
  • Sensitivity analysis for joint inversion of production and time-lapse seismic data of Norne field SPE Western regional meeting Suman, A., Mukerji, T. 2012
  • A methodology for quantifying the value of spatial information for dynamic Earth problems Stochastic Environmental Research and Risk Assessment Trainor-Guitton, W., Mukerji, T., Knight, R. 2012; 10: 619-4

    View details for DOI s00477-012-0

  • Sensitivity Study of Rock Physics Parameters for Modeling Time-Lapse Seismic Signature of Norne Field SEG Annual Meeting Suman, A., Mukerji, T. SEG Exp. Abstr.. 2012
  • Using kernel principal component analysis to interpret seismic signatures of thin shaly-sand reservoirs SEG Ann. Mtg. Dejtrakulwong, P., Mukerji, T., Mavko, G. SEG Exp. Abstr.. 2012
  • V-p-V-s relationship and amplitude variation with offset modelling of glauconitic greensand GEOPHYSICAL PROSPECTING Hossain, Z., Mukerji, T., Fabricius, I. L. 2012; 60 (1): 117-137
  • Reservoir characterization and inversion uncertainty via a family of particle swarm optimizers GEOPHYSICS Fernandez Martinez, J. L., Mukerji, T., Garcia Gonzalo, E., Suman, A. 2012; 77 (1): M1-M16
  • Sequential Bayesian Gaussian mixture linear inversion of seismic data for elastic and reservoir properties estimation SEG Annual Meeting Grana, D., Mukerji, T. SEG Exp. Abstr.. 2012
  • Adaptive spatial resampling as a Markov chain Monte Carlo method for stochastic seismic reservoir characterization. SEG Annual Meeting Jeong, C., Mukerji, T., Mariethoz, G. SEG Exp. Abstr.. 2012
  • Uncertainty assessment for inverse problems in high dimensional spaces using particle swarm optimization and model reduction techniques MATHEMATICAL AND COMPUTER MODELLING Fernandez-Martinez, J. L., Mukerji, T., Garcia-Gonzalo, E., Fernandez-Muniz, Z. 2011; 54 (11-12): 2889-2899
  • Rock physics model of glauconitic greensand from the North Sea GEOPHYSICS Hossain, Z., Mukerji, T., Dvorkin, J., Fabricius, I. L. 2011; 76 (6): E199-E209
  • A Methodology for Establishing a Data Reliability Measure for Value of Spatial Information Problems MATHEMATICAL GEOSCIENCES Trainor-Guitton, W. J., Caers, J. K., Mukerji, T. 2011; 43 (8): 929-949
  • Scalable uncertainty estimation for nonlinear inverse problems using parameter reduction, constraint mapping, and geometric sampling: Marine controlled-source electromagnetic examples GEOPHYSICS Tompkins, M. J., Fernandez Martinez, J. L., Alumbaugh, D. L., Mukerji, T. 2011; 76 (4): F263-F281

    View details for DOI 10.1190/1.3581355

    View details for Web of Science ID 000292156200011

  • Derivative-free optimization for oil field operations Computational Optimization and Applications in Engineering and Industry Echeverría Ciaurri, D., Mukerji, T., Durlofsky, L. J. edited by Yang, X., Koziel, S. Springer-Verlag. 2011
  • Single loop inversion of facies from seismic data using sequential simulations and probability perturbation method SEG Technical Program Grana, D., Mukerji, T., Dvorkin, J. 2011

    View details for DOI 10.1190/1.3627548

  • Influence of pore fluid and frequency on elastic properties of greensand as interpreted using NMR data SEG Technical Program Hossain, Z., Mukerji, T., Fabricius, I. L. 2011

    View details for DOI 10.1190/1.3627640

  • Iterative spatial resampling applied to seismic inverse modeling for lithofacies prediction SEG Technical Program Jeong, C., Mukerji, T., Marithoz, G. 2011

    View details for DOI 10.1190/1.3627547

  • Role of micro‐heterogeneities on fabric, stress, and elastic anisotropy in granular media SEG Technical Program Sain, R., Mukerji, T., Mavko, G. 2011

    View details for DOI 10.1190/1.3627645

  • Joint inversion of time‐lapse seismic and production data for Norne field SEG Technical Program Suman, , A., Fernández‐Martínez, J. L., Mukerji, T. 2011

    View details for DOI 10.1190/1.3628063

  • Vp-Vs relationship and amplitude variation with offset modeling of glauconite greensand Geophysical Prospecting Hossain, Z., Mukerji, T., Fabricius, I. L. 2011; 60 (4): 592-613
  • A derivative-free approach for the estimation of porosity and permeability using time-lapse seismic and production data JOURNAL OF GEOPHYSICS AND ENGINEERING Dadashpour, M., Ciaurri, D. E., Mukerji, T., Kleppe, J., Landro, M. 2010; 7 (4): 351-368
  • Seismic inversion for reservoir properties combining statistical rock physics and geostatistics: A review GEOPHYSICS Bosch, M., Mukerji, T., Gonzalez, E. F. 2010; 75 (5): A165-A176

    View details for DOI 10.1190/1.3478209

    View details for Web of Science ID 000284254400012

  • Rock-physics diagnostics of depositional texture, diagenetic alterations, and reservoir heterogeneity in high-porosity siliciclastic sediments and rocks - A review of selected models and suggested work flows GEOPHYSICS Avseth, P., Mukerji, T., Mavko, G., Dvorkin, J. 2010; 75 (5): A31-A47

    View details for DOI 10.1190/1.3483770

    View details for Web of Science ID 000284254400003

  • Improved granular medium model for unconsolidated sands using coordination number, porosity, and pressure relations GEOPHYSICS Dutta, T., Mavko, G., Mukerji, T. 2010; 75 (2): E91-E99

    View details for DOI 10.1190/1.3333539

    View details for Web of Science ID 000276868100009

  • The Value of Information in Spatial Decision Making MATHEMATICAL GEOSCIENCES Bhattacharjya, D., Eidsvik, J., Mukerji, T. 2010; 42 (2): 141-163
  • Inverse Problems and Model Reduction Techniques 5th International Conference on Soft Methods in Probability and Statistics Luis Fernandez-Martinez, J., Tompkins, M., Fernandez-Muniz, Z., Mukerji, T. SPRINGER-VERLAG BERLIN. 2010: 255–262
  • Reservoir characterization and inversion uncertainty via a family of Particle Swarm Optimizers SEG Exp. Abstr. Fernandez-Martinez, J. L., Mukerji, T., Garcia-Gonzalo, E., Suman, A. 2010; 29 (2334-2339)
  • Rock physics model of glauconitic greensand from the North Sea SEG Exp. Abstr Hossain, Z., Mukerji, T., Dvorkin, J., Fabricius, I. L. 2010; 29 (2416-2420)
  • Posterior sampling using particle swarm optimizers and model reduction techniques Internat. Journal of Applied Evolutionary Computing Fernandez-Martinez, ., Garcia Gonzalo, E., Fernandez-Muniz, Z., Mariethoz, G., Mukerji, T. 2010; 1: 27-48
  • Predicting sorting and sand/shale ratio from seismic attributes by integrating sequence- stratigraphy and rock physics SEG Expanded Abstracts Dutta, T., Mukerji, T., Mavko, G. 2010; 29: 2506-2511
  • Scalable Nonlinear Inverse Uncertainty Estimation Using Model Reduction, Constraint Mapping, and Sparse Geometric Sampling SEG Expanded Abstracts Tompkins, M. J., Fernandez-Martinez, J. L., Mukerji, T., Alumbaugh, D. L. 2010; 29: 3882-3887
  • Role of contact heterogeneities on macroscopic elastic properties of granular media SEG Expanded Abstracts Sain, R., Mavko, G., Mukerji, T. 2010; 29: 2426-2430
  • Geometric Sampling: An Approach to Uncertainty in High Dimensional Spaces 5th International Conference on Soft Methods in Probability and Statistics Luis Fernandez-Martinez, J., Tompkins, M., Mukerji, T., Alumbaugh, D. SPRINGER-VERLAG BERLIN. 2010: 247–254
  • Particle Swarm Optimization in High Dimensional Spaces 7th International Conference on Swarm Intelligence Fernandez-Martinez, J. L., Mukerji, T., Garcia-Gonzalo, E. SPRINGER-VERLAG BERLIN. 2010: 496–503
  • A Robust Scheme for Spatio-Temporal Inverse Modeling of Oil Reservoirs IMACS World Congress/Modelling and Simulation Society-of-Australia-and-New-Zealand (MSSANZ)/18th MODSIM09 Biennial Conference on Modelling and Simulation Echeverria, D., Mukerji, T. MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC. 2009: 4206–4212
  • Seismic inversion using low-frequency seismic impedance trend computed from CSEM data SEG Expanded Abstracts Gomez, C. T., Mukerji, T., Mavko, G. 2009; 28: 2412-2416
  • Robust scheme for inversion of seismic and production data for reservoir facies modeling SEG Expanded Abstracts Echeverria, D., Mukerji, T., Santos, E. T. F. 2009; 28: 2432-2436
  • Uncertainties in rock pore compressibility and effects on time lapse seismic modeling -- An application to Nome field SEG Expanded Abstracts Suman, A., Mukerji, T. 2009; 28: 3909-3913
  • Investigating Thomas-Stieber model for property estimation of thin-bedded shaly-sand reservoirs SEG Expanded Abstracts Dejtrakulwong, P., Mukerji, T., Mavko, G. 2009; 28: 1965-1969
  • Acoustic signatures, impedance microstructure, textural scales, and anisotropy of kerogen-rich shale SPE Ann. Tech. Conf. Prasad, M., Mukerji, T., Reinstaedtler, M., Arnold, W. 2009
  • Cross-property rock physics relations for estimating low-frequency seismic impedance trends from electromagnetic resistivity data The Leading Edge Mukerji, T., Mavko, G., Gomez, C. 2009; 28: 94
  • Compaction trends for shale and clean sandstone in shallow sediments, Gulf of Mexico The Leading Edge Dutta, T., Mavko, G., Mukerji, T., Lane, T. 2009; 28: 590
  • Estimating low frequency spatial trends for reservoir characterization using multiscale data and models Geohorizons Mukerji, T., Gomez, C., Jia, B. 2009
  • Effect of diagenesis on elastic and transport properties using computational rock physics in realistic pore microstructure SEG Expanded Abstracts Sain, R., Mavko, G., Mukerji, T. 2009; 28: 2105-2109
  • Revisiting the use of seismic attributes as soft data for subseismic facies prediction: Proportions versus probabilities The Leading Edge Stright, L., Bernhardt, A., Boucher, A., Mukerji, T., Derksen, R. 2009; 28
  • Statistical modeling of seismic reflectivities comparing Lévy stable and Gaussian mixture distributions SEG Expanded Abstracts Mukerji, T., Routh, P., Ball, V. 2009; 28: 2085-2089
  • The Rock Physics Handbook, 2nd Ed. Mavko, G., Mukerji, T., Dvorkin, J. Cambridge University Press. 2009
  • Value of information of seismic amplitude and CSEM resistivity GEOPHYSICS Eidsvik, J., Bhattacharjya, D., Mukerji, T. 2008; 73 (4): R59-R69

    View details for DOI 10.1190/1.2938084

    View details for Web of Science ID 000257859000023

  • Seismic inversion combining rock physics and multiple-point geostatistics GEOPHYSICS Gonzalez, E. F., Mukerji, T., Mavko, G. 2008; 73 (1): R11-R21

    View details for DOI 10.1190/1.2803748

    View details for Web of Science ID 000253749000021

  • Non Uniqueness and Uncertainties in the Training Image to Seismic Image Transform 8th International Geostatistical Congress Leiva, A., Mukerji, T. 2008
  • Optimal updating of reservoir facies models by integrating seismic and production data 8th International Geostatistical Congress Echeverria, D., Santos, E. F., Mukerji, T. 2008
  • Spectral Seismic signatures and uncertainties in petrophysical property estimation of thin sand-shale reservoirs 8th International Geostatistical Congress Dejtrakulwong, P., Mukerji, T., Mavko, G. 2008
  • Geostatistical travel-time tomography conditioned to well data SEG Expanded Abstracts Liu, Y., Journel, A., Mukerji, T. 2008; 27: 3539
  • Elastic anisotropy, maturity, and maceral microstructure in organic-rich shales SEG Expanded Abstracts Vanorio, T., Mukerji, T., Mavko, G. 2008; 27: 1635
  • Granular dynamics simulation for estimating elastic properties of loose unconsolidated frictional packs SEG Expanded Abstracts Sain, R., Mukerji, T., Mavko, G. 2008; 27: 1825
  • Emerging methodologies to characterize the rock physics properties of organic-rich shales The Leading Edge Vanorio, T., Mukerji, T., Mavko, G. 2008; 27: 780
  • How does carbonate cementation in sandstones affect seismic response? SEG Expanded Abstracts Dutta, T., Mukerji, T., Mavko, G. 2008; 27: 1675
  • Estimating low frequency seismic impedance from CSEM resistivity using cross-property rock physics relations SEG Expanded Abstracts Mukerji, T., Mavko, G., Gomez, C. 2008; 27: 1769
  • Analyzing thresholds for 3D reconstruction of rock from CT-scan images SEG Expanded Abstracts Richa, R., Mukerji, T., Mavko, G. 2008; 27: 1820
  • The flaw of averages and the pitfalls of ignoring variablity in attribute interpretations The Leading Edge Mukerji, T., Mavko, G. 2008; 27
  • Probabilistic seismic inversion based on rock-physics models GEOPHYSICS Spikes, K., Mukerji, T., Dvorkin, J., Mavko, G. 2007; 72 (5): R87-R97

    View details for DOI 10.1190/1.2760162

    View details for Web of Science ID 000249683600028

  • Elastic behaviour of North Sea chalk: A well-log study GEOPHYSICAL PROSPECTING Gommesen, L., Fabricius, I. L., Mukerji, T., Mavko, G., Pedersen, J. M. 2007; 55 (3): 307-322
  • Constraints on velocity-depth trends from rock physics models GEOPHYSICAL PROSPECTING Japsen, P., Mukerji, T., Mavko, G. 2007; 55 (2): 135-154
  • Image processing of acoustic microscopy data to estimate textural scales and anistropy in shales 28th International Symposium on Acoustical Imaging Mukerji, T., Prasad, M. SPRINGER. 2007: 21–29
  • Rock physics modeling constrained by sequence stratigraphy The Leading Edge Dutta, T., Mukerji, T., Mavko, G. 2007; 26: 870-874
  • Estimating the value of information in spatial decision making for reservoir development Society of Exploration Geophysicists Abstracts Eidsvik, J., Bhattacharjya, D., Mukerji, T. 2007; 26: 1367-1371
  • Stochastic rock-physics inversion for thickness, lithology, porosity, and saturation Society of Exploration Geophysicists Abstracts Spikes, K., Mukerji, T., Dvorkin, J. 2007; 26: 1659-1663
  • Quantifying spatial trend of sediment parameters in channelized turbidite, West Africa Society of Exploration Geophysicists Abstracts Dutta, T., Mukerji, T., Mavko, G. 2007; 26: 1674-1678
  • Evolution of elastic properties and fabric tensor in a deposition model using granular dynamics simulation Society of Exploration Geophysicists Abstracts Sain, R., Mukerji, T., Mavko, G., Keehm, Y. 2007; 26: 1669-1673
  • Integrating statistical rock physics and sedimentology for quantitative seismic interpretation Subsurface Hydrology: Data Integration for Properties and Processes Avseth, P., Mukerji, T., Mavko, G. edited by Hyndman, D. W., Day-Lewis, F. D., Singha, K. AGU. 2007
  • Computational estimation of compaction band permeability in sandstone GEOSCIENCES JOURNAL Keehm, Y., Sternlof, K., Mukerji, T. 2006; 10 (4): 499-505
  • Establishing spatial pattern correlations between water saturation time-lapse and seismic amplitude time-lapse 56th Annual Technical Meeting of the Canadian International Petroleum Conference Wu, J., Journel, A. G., Mukerji, T. CANADIAN INST MINING METALLURGY PETROLEUM. 2006: 15–20
  • Rock physics and multiple-point geostatistics for seismic inversion Society of Exploration Geophysicists Abstracts Gonzalez, E., Mavko, G., Mukerji, T. 2006; 25: 2047-2051
  • Reconstruction of 3D Pore Geometry From X-ray Microtomogram and Its Impact on Physical Property Simulations AGU Fall Meeting Keehm, Y., Lee, M., Mukerji, T. 2006
  • Image analysis and pattern recognition for porosity estimation from thin sections Society of Exploration Geophysicists, Expanded Abstracts Richa, R., Mukerji, T., Mavko, G., Keehm, Y. 2006; 25: 1968-1972
  • Third Order Elastic Coefficients of Rocks AGU Fall Meeting Bandyopadhyay, K., Mukerji, T., Mavko, G. 2006
  • Reservoir quality prediction by integrating sequence stratigraphy and rock physics Society of Exploration Geophysicists Abstracts Dutta, T., Mukerji, T., Mavko, G., Avseth, P. 2006; 25: 1811-1815
  • Optimal frequency of time-lapse seismic monitoring in geologic CO2 sequestration Society of Exploration Geophysicists Abstracts Bhattacharjya, D., Mukerji, T., Weyant, J. 2006; 25: 3230-3234
  • Using influence diagrams to analyze decisions in 4D seismic reservoir monitoring The Leading Edge Bhattacharjya, D., Mukerji, T. 2006; 25: 1236-1239
  • Attenuation and velocity dispersion modeling of bitumen saturated sand Society of Exploration Geophysicists Abstracts Wolf, K., Mukerji, T., Mavko, G. 2006; 25: 1993-1997
  • Monte Carlo AVO analysis for lithofacies classification Society of Exploration Geophysicists Abstracts Mukerji, T., Singleton, S., Schneider, M., Ascanio, M., Uden, R. 2006; 25: 1781-1785
  • Geostatistical cosimulation and downscaling conditioned to block data: Application to integrating VSP, travel-time tomography, and well data Society of Exploration Geophysicists Abstracts Liu, Y., Journel, A. G., Mukerji, T. 2006; 25: 3320-3324
  • Flow properties of compaction bands in sandstone: Permeability estimation using computational rock physics method Society of Exploration Geophysicists Abstracts Keehm., Y., Sternlof, K., Mukerji, T. 2006; 25: 1851-1855
  • Point-charge calculation of quadrupolar parameters for bridging oxygen sites in vitreous silica: Structural implications PHYSICAL REVIEW B Sen, S., Russell, C. A., Mukerji, T. 2005; 72 (17)
  • Potential energy landscape of Li+ ions in lithium silicate glasses: Implications on ionic transport JOURNAL OF NON-CRYSTALLINE SOLIDS Sen, S., Mukerji, T. 2005; 351 (40-42): 3361-3364
  • Analysis of 3D High-Resolution Seismic Reflection and Crosswell Radar Tomography for Aquifer Characterization: A Case Study Near-Surface Geophysics Bachrach, R., Mukerji, T. edited by Butler, D. K. SEG. 2005
  • Automatic detection of data inconsistencies for AVA analysis: Bootstrap and LMS regression 75th Ann. Internat. Mtg.: Soc. of Expl. Geophys. Gonzalez, E. F., , E. F., Mukerji, T. and , T., Mavko, G., G. 2005: 242–45
  • Using influence diagrams to analyze decisions in 4-D seismic reservoir monitoring 75th Ann. Internat. Mtg.: Soc. of Expl. Geophys. Bhattacharjya, D., Mukerji, T. 2005: 2496–2499
  • The flaw of averages and the pitfalls of ignoring variability in rock physics interpretation 75th Ann. Internat. Mtg. Soc. of Expl. Geophys. Mukerji, T., Mavko, G. 2005: 747–750
  • Improving water saturation prediction with 4D seismic SPE Ann. Tech. Confereence Wu, J., Mukerji, T., Journel, A. G. 2005
  • Transport Properties of Partially-Saturated Rocks – Digital Rock Approach 67th Mtg. Eur. Assn. Geosci. Eng. Keehm, Y., Mukerji, T., Nur, A. 2005
  • Image Analysis And Pattern Recognition For Porosity Estimation From Thin Sections AGU fall meeting Richa, R., Mukerji, T., Keehm, Y., Mavko, G. 2005
  • Seismic Signatures of Fractures in Bombay High Basement AGU Fall Meeting Bandyopadhyay, K., Mukerji, T., Mavko, G. 2005
  • Hidden Markov chains for identifying geologic features from seismic data 7th International Geostatistics Congress Eidsvik, J., Gonzalez, E., Mukerji, T. SPRINGER. 2005: 737–742
  • Prediction of spatial patterns of saturation time-lapse from time-lapse seismic 7th International Geostatistics Congress Wu, J. B., Mukerji, T., Journel, A. G. SPRINGER. 2005: 671–680
  • Portable dense geophone array for shallow and very shallow 3D seismic reflection surveying - Part 1: Data acquisition, quality control, and processing GEOPHYSICS Bachrach, R., Mukerji, T. 2004; 69 (6): 1443-1455
  • The effect of texture and porosity on seismic reflection amplitude in granular sediments: Theory and examples from a high-resolution shallow seismic experiment GEOPHYSICS Bachrach, R., Mukerji, T. 2004; 69 (6): 1513-1520
  • Portable dense geophone array for shallow and very shallow 3D seismic reflection surveying - Part 2: 3D imaging tests GEOPHYSICS Bachrach, R., Mukerji, T. 2004; 69 (6): 1456-1469
  • Stochastic reservoir characterization using prestack seismic data GEOPHYSICS Eidsvik, J., Avseth, P., Omre, H., Mukerji, T., Mavko, G. 2004; 69 (4): 978-993

    View details for DOI 10.1190/1.1778241

    View details for Web of Science ID 000223303700011

  • Estimation of geological attributes from a well log: An application of hidden Markov chains MATHEMATICAL GEOLOGY Eidsvik, J., Mukerji, T., Switzer, P. 2004; 36 (3): 379-397
  • Permeability prediction from thin sections: 3D reconstruction and Lattice-Boltzmann flow simulation GEOPHYSICAL RESEARCH LETTERS Keehm, Y., Mukerji, T., Nur, A. 2004; 31 (4)
  • A feasibility study for CO2monitoring in Coal Bed Methane American Association of Petroleum Geologists (AAPG) Annual Meeting Bulletin Akintunde, O. M., Harris, J., Mukerji, T., Urban, J. 2004; 88
  • Permeability and relative permeability from digital rocks: Issues on grid resolution and representative elementary volume 74th Ann. Internat. Mtg. Soc. of Expl. Geophys. Keehm, Y., Mukerji, T. 2004: 1654–57
  • Establishing spatial pattern correlation for interpreting time-lapse seismic amplitudes 4th Ann. Internat. Mtg. Soc. of Expl. Geophys. Wu, J., Mukerji, T., Journel, A. G. 2004: 2235–38
  • A practical procedure for P-to-S “elastic” impedance (PSEI) inversion: Well log and synthetic seismic examples for identifying partial gas saturations 74th Ann. Internat. Mtg. Soc. of Expl. Geophys. Gonzalez, E. F., Mavko, G., Mukerji, T. 2004: 1782–85
  • Inferring the statistical distribution of velocity heterogeneities by statistical traveltime tomography GEOPHYSICS Iooss, B., Geraets, D., Mukerji, T., Samuelides, Y., Touati, M., Galli, A. 2003; 68 (5): 1714-1730

    View details for DOI 10.1190/1.1620645

    View details for Web of Science ID 000220836400028

  • Improving curvature analyses of deformed horizons using scale-dependent filtering techniques AAPG BULLETIN Bergbauer, S., Mukerji, T., Hennings, P. 2003; 87 (8): 1255-1272
  • Quantifying subresolution saturation scales from time-lapse seismic data: A reservoir monitoring case study GEOPHYSICS Sengupta, M., Mavko, G., Mukerji, T. 2003; 68 (3): 803-814

    View details for DOI 10.1190/1.1581033

    View details for Web of Science ID 000220836200003

  • Near and far offset P-to-S elastic impedance for discriminating fizz water from commercial gas The Leading Edge Gonzalez, E., Mukerji, T., Mavko, G., Michelena, R. 2003; 22: 1012-1015
  • Stratification in loose sediments and its seismic signature 73rd Annual International Meeting of the Society of Exploration Geophysicists Vega, S., Mukerji, T., Mavko, G., Prasad, M. 2003: 1219–22
  • Far offset P-to-S "elastic impedance" for lithology and partial gas saturation (fizz water) identification: Applications with well logs 73rd Ann. Internat. Mtg. Soc. of Expl. Geophys. Gonzalez, E., Mukerji, T., Mavko, G., Michelena, R. 2003: 1446–49
  • Permeability prediction from thin sections using the Lattice-Boltzmann flow simulation 73rd Ann. Internat. Mtg. Soc. of Expl. Geophys. Keehm, Y., Mukerji, T., Prasad, M., Nur, A. 2003: 1668–71
  • Analysis of microstructural textures and wave propagation characteristics in shales 3rd Ann. Internat. Mtg. Soc. of Expl. Geophys. Prasad, M., Mukerji, T. 2003: 1648–51
  • Peak morphological diversity in an ecotone unveiled in the chukar partridge by a novel Estimator in a Dependent Sample (EDS) JOURNAL OF ANIMAL ECOLOGY Kark, S., Mukerji, T., Safriel, U. N., Noy-Meir, I., Nissani, R., Darvasi, A. 2002; 71 (6): 1015-1029
  • Integrating rock physics, seismic amplitudes, and geological models JOURNAL OF PETROLEUM TECHNOLOGY Caers, J., Avseth, P., Mukerji, T. 2002; 54 (6): 43-43
  • Seismic lithofacies classification from well logs using statistical rock physics Petrophysics Avseth, P., Mukerji, T. 2002; 43: 70-81
  • Some formal aspects and examples of 3D near surface imaging with dense receiver array as an approximate acoustical lens SEG Intl. Mtg. Bachrach, R., Mukerji, T. 2002
  • Fluid substitution studies for North Sea chalk logging data SEG Intl. Mtg. Gommesen, L., Mavko, G., Mukerji, T., Fabricus, I. 2002
  • Modeling lithofacies alternations from well logs using Hierarchical Markov Chains SEG. Intl. Mtg. Eidsvik, J., Mukerji, T., Switzer, P. 2002
  • Efficient parallel implementation of two-phase Lattice-Boltzmann flow simulation SEG Intl. Mtg. Keehm, Y., Nur, A., Mukerji, T. 2002
  • Understanding amplitude anomalies and pitfalls in offshore Venezuela: Quantifying the effects of geologic heterogeneities using statistical rock physics SEG Intl. Mtg. Mukerji, T., Gonzalez, E., Cobos, C., Hung, E., Mavko, G. 2002
  • Seismic Fracture Characterization Using Statistical Rock Physics: James Lime Reservoir, Neuville Field SEG Intl. Mtg. Sava, D., Florez, J., Mukerji, T., Mavko, G. 2002
  • Peak Phenotypic Diversity in an Ecotone Unveiled using a Novel Estimator in a Dependent Sample (EDS) J. Animal Ecology Kark, S., Mukerji, T., Safriel, U. N., Noy-Meir, I., Nissani, R., Darvasi, A. 2002; 71: 1015-1029
  • Seismic detection and estimation of overpressures Part II: Field applications Recorder Dutta, N., Mukerji, T., Prasad, M., Dvorkin, J. 2002; 27 (7): 58-73
  • Seismic detection and estimation of overpressures Part I: The Rock Physics Basis Recorder Mukerji, T., Dutta, N., Prasad, M., Dvorkin, J. 2002; 27 (7): 34-57
  • Seismic reservoir prediction using Bayesian integration of rock physics and Markov random fields; a North Sea example The Leading Edge Eidsvik, J., Omre, H., Mukerji, T., Mavko, G., Avseth, P. 2002; 21: 290-294
  • A molecular dynamics simulation study of ionic diffusion and NMR spin-lattice relaxation in Li2Si4O9 glass 8th International Conference on the Structure on Non-Crystalline Materials (NCM 8) Sen, S., Mukerji, T. ELSEVIER SCIENCE BV. 2001: 268–278
  • Seismic reservoir mapping from 3-D AVO in a North Sea turbidite system GEOPHYSICS Avseth, P., Mukerji, T., Jorstad, A., Mavko, G., Veggeland, T. 2001; 66 (4): 1157-1176
  • Mapping lithofacies and pore-fluid probabilities in a North Sea reservoir: Seismic inversions and statistical rock physics GEOPHYSICS Mukerji, T., Jorstad, A., Avseth, P., Mavko, G., Granli, J. R. 2001; 66 (4): 988-1001
  • Statistical rock physics; combining rock physics, information theory, and geostatistics to reduce uncertainty in seismic reservoir characterization The Leading Edge Mukerji, T., Avseth, P., Mavko, G., Takahashi, I., Gonzalez, E. 2001; 20: 313-319
  • AVO signatures of Eastern Venezuela gas sands: feasibility and uncertainty estimation SEG Intl. Mtg. Gonzalez, E., Mukerji, T., Mavko, G. 2001
  • Rock Physics analysis and fracture modeling of the San Andres reservoir, SEG Intl. Mtg. Sava, D., Mukerji, T., Florez, J., Mavko, G. 2001
  • Two-phase flow in complex porous media using Lattice-Boltzmann method SEG Intl. Mtg. Keehm, Y., Nur, A., Mukerji, T. 2001
  • Rock physics and seismic properties of sands and shales as a function of burial depth SEG Intl. Mtg. Avseth, P., Mavko, G., Dvorkin, J., Mukerji, T. 2001
  • Cost effective near surface 3-D seismic imaging in heterogeneous subsurface using portable geophone array and a laptop SEG Intl. Mtg. Bachrach, R., Mukerji, T. 2001
  • 3-D seismic imaging of near surface buried pipe via pre-stack dynamic focusing and a portable geophone array SEG Intl. Mtg. Bachrach, R., Mukerji, T. 2001
  • Fast 3D Ultra Shallow Seismic Reflection imaging using portable geophone mount GEOPHYSICAL RESEARCH LETTERS Bachrach, R., Mukerji, T. 2001; 28 (1): 45-48
  • Computational rock physics at the pore scale; transport properties and and diagenesis in realistic pore geometries The Leading Edge Keehm, Y., Mukerji, T., Nur, A. 2001; 20: 180-183
  • Geostatistical integration of rock physics, seismic amplitudes, and geologic models in North Sea turbidite systems The Leading Edge Caers, J., Avseth, P., Mukerji, T. 2001; 20: 308-312
  • Rock physics and AVO analysis for lithofacies and pore fluid prediction in a North Sea oil field The Leading Edge Avseth, P., Mukerji, T., Mavko, G., Tyssekvam, J. 2001; 20: 429-434
  • Facies clasification using P-to-P and P-to-S AVO attributes SEG Intl. Mtg. Gonzalez, E., Mukerji, T., Mavko, G. 2000
  • Flow-limited diagenesis and transport properties of porous media using the Lattice-Boltzmann method SEG Intl. Mtg. Keehm, Y., Mukerji, T., Nur, A. 2000
  • Rock physics diagnostics and modeling of P-P and P-S seismic attributes in the Alba Field SEG Intl. Mtg. Mukerji, T., Takahasji, I., Gonzalez, E., Mavko, G. 2000
  • Integrating time-lapse seismic and flow simulation to map saturation changes: A reservoir monitoring case study SEG Intl. Mtg. Sengupta, M., Mavko, G., Mukerji, T. 2000
  • Seismic detection of pore fluids: Pitfalls of ignoring anisotropy SEG Intl. Mtg. Sava, D., Mukerji, T., Diaz, M., Mavko, G. 2000
  • Vp/Vs relations of sandstones and carbonates: Their implication about the pore structures SEG Intl. Mtg. Takahashi, I., Mukerji, T., Mavko, G. 2000
  • Model-based shear-wave velocity estimation versus empirical regressions GEOPHYSICAL PROSPECTING Jorstad, A., Mukerji, T., Mavko, G. 1999; 47 (5): 785-797
  • A generalized classical nucleation theory for rough interfaces: application in the analysis of homogeneous nucleation in silicate liquids JOURNAL OF NON-CRYSTALLINE SOLIDS Sen, S., Mukerji, T. 1999; 246 (3): 229-239
  • Scale matching with factorial kriging for improved porosity estimation from seismic data MATHEMATICAL GEOLOGY Yao, T. T., Mukerji, T., Journel, A., Mavko, G. 1999; 31 (1): 23-46
  • Integrating seismic lithofacies prediction and depositional geometry analysis for reservoir delineation in a North Sea turbidite field SEG Intl. Mtg. Avseth, P., Mavko, G., Mukerji, T., Tyssekvam, J. 1999
  • A strategy to select optimal seismic attributes for reservoir property estimation: Application of information theory SEG Intl. Mtg. Takahashi, I., Mavko, G., Mukerji, T. 1999
  • Effect of thin-layering on seismic reflectivity: Estimation of sand/shale ratio using stochastic simulation and Bayes' inversion SEG Intl. Mtg. Takahashi, I., Mavko, G., Mukerji, T. 1999
  • Discriminating seismic signatures of steam injection from lithology variations: Feasibility study in a Venezuela heavy oil reservoir SEG Intl. Mtg. Gonzalez, E., Mavko, G., Mukerji, T. 1999
  • Near and far offset impedances: Seismic attributes for identifying lithofacies and pore fluids GEOPHYSICAL RESEARCH LETTERS Mukerji, T., Jorstad, A., Mavko, G., Granli, J. R. 1998; 25 (24): 4557-4560
  • A rock physics strategy for quantifying uncertainty in common hydrocarbon indicators GEOPHYSICS Mavko, G., Mukerji, T. 1998; 63 (6): 1997-2008
  • Velocity shift in heterogeneous media with anisotropic spatial correlation GEOPHYSICAL JOURNAL INTERNATIONAL Samuelides, Y., Mukerji, T. 1998; 134 (3): 778-786
  • Bounds on low-frequency seismic velocities in partially saturated rocks GEOPHYSICS Mavko, G., Mukerji, T. 1998; 63 (3): 918-924
  • Comparison of the Krief and critical porosity models for prediction of porosity and V-P/V-S GEOPHYSICS Mavko, G., Mukerji, T. 1998; 63 (3): 925-927
  • The Rock Physics Handbook: Tools for Seismic Analysis in Porous Media Mavko, G., Mukerji, T., Dvorkin, J. Cambridge University Press. 1998
  • Applying statistical rock physics and seismic inversions to map lithofacies and pore fluid probabilities in a North Sea reservoir 68th SEG Intl. Mtg. Mukerji, T., Jorstad, A., Mavko, G., Granli, J. R. 1998
  • Reservoir monitoring; a multidisciplinary feasibility study The Leading Edge Biondi, B., Mavko, G., Mukerji, T., Rickett, J., Lumley, D., Deutsch, C., Gundeso, R., Thiele, M. 1998; 17: 1404-1414
  • Scales of reservoir heterogeneities and impact of seismic resolution on geostatistical integration MATHEMATICAL GEOLOGY Mukerji, T., Mavko, G., Rio, P. 1997; 29 (7): 933-950
  • Diffusion and viscosity in silicate liquids: Percolation and effective medium theories GEOPHYSICAL RESEARCH LETTERS Sen, S., Mukerji, T. 1997; 24 (9): 1015-1018
  • Application of factorial kriging to improve seismic data integration Wollongong 96 International Geostatistical Congress Yao, T. T., Mukerji, T. SPRINGER. 1997: 350–61
  • Velocity dispersion: Evaluating fluid and fast path effects from ultrasonic data and scanning acoustic microscope images SEG 67th Intl. Mtg. Mukerji, T., Prasad, M., Mavko, G., Manghnani, M. 1997
  • Shaly sand rock physics models for predicting porosity from ahead-of-the-bit seismic, SEG 67th Intl. Mtg. Mukerji, T., Mavko, G. 1997
  • Velocity shift in heterogeneous media with anisotropic spatial correlation SEG 67th Intl. Mtg. Sammuelides, Y., Mukerji, T. 1997
  • Velocity dispersion and upscaling in a laboratory-simulated VSP GEOPHYSICS Rio, P., Mukerji, T., Mavko, G., Marion, D. 1996; 61 (2): 584-593
  • Reservoir Monitoring: A multi-disciplinary feasibility study SEG 66th Ann. Mtg. Biondo, B., Deutsch, C., Gundeso, R., Lumley, D., Mavko, G., Mukerji, T., Rickett, J., Thiele, M. 1996
  • SCALE EFFECTS ON DYNAMIC WAVE-PROPAGATION IN HETEROGENEOUS MEDIA GEOPHYSICAL RESEARCH LETTERS Yin, H. Z., Mavko, G., Mukerji, T., Nur, A. 1995; 22 (23): 3163-3166
  • FLUID SUBSTITUTION - ESTIMATING CHANGES IN V-P WITHOUT KNOWING V-S GEOPHYSICS Mavko, G., Chan, C., Mukerji, T. 1995; 60 (6): 1750-1755
  • SEISMIC PORE-SPACE COMPRESSIBILITY AND GASSMANNS RELATION GEOPHYSICS Mavko, G., Mukerji, T. 1995; 60 (6): 1743-1749
  • SCALE-DEPENDENT SEISMIC VELOCITY IN HETEROGENEOUS MEDIA GEOPHYSICS Mukerji, T., Mavko, G., Mujica, D., Lucet, N. 1995; 60 (4): 1222-1233
  • PREDICTING STRESS-INDUCED VELOCITY ANISOTROPY IN ROCKS GEOPHYSICS Mavko, G., Mukerji, T., Godfrey, N. 1995; 60 (4): 1081-1087
  • DIFFERENTIAL EFFECTIVE-MEDIUM MODELING OF ROCK ELASTIC-MODULI WITH CRITICAL POROSITY CONSTRAINTS GEOPHYSICAL RESEARCH LETTERS Mukerji, T., Berryman, J., Mavko, G., Berge, P. 1995; 22 (5): 555-558
  • SEISMIC METHODS FOR IMAGING PHYSICAL PROPERTIES OF THE EARTH 1995 International Conference on Acoustics, Speech, and Signal Processing Mavko, G., Lucet, N., Mukerji, T. IEEE. 1995: 2817–2820
  • A rock physics strategy for quantifying uncertainty in common hydrocarbon indicators SEG 65th Ann. Mtg Mavko, G., Mukerji, T. 1995
  • Impact of seismic resolution on geostatistical integration techniques SEG 65th Ann. Mtg. Mukerji, T., Rio, P., Mavko, G. 1995
  • SCALE EFFECTS ON VELOCITY DISPERSION - FROM RAY TO EFFECTIVE-MEDIUM THEORIES IN STRATIFIED MEDIA GEOPHYSICS Marion, D., Mukerji, T., Mavko, G. 1994; 59 (10): 1613-1619
  • PORE FLUID EFFECTS ON SEISMIC VELOCITY IN ANISOTROPIC ROCKS GEOPHYSICS Mukerji, T., Mavko, G. 1994; 59 (2): 233-244
  • Scale-dependent dynamic wave propagation in heterogeneous media: I, Experiments SEG 64th Ann. Meeting Yin, H., Mavko, G., Mukerji, T., Nur, A. 1994
  • Scale-dependent dynamic wave propagation in heterogeneous media: II, Theory SEG 64th Ann. Meeting Mukerji, T., Mavko, G. 1994
  • Pore fluid effects on seismic anisotropy SEG 62nd Ann. Meeting Mukerji, T., Mavko, G. 1992