Dr. Dario Grana
PROFESSOR
Wyoming Excellence Chair
Office: Geology 223
Phone: 307-223-2079
Email: dgrana@uwyo.edu
Geology & Geophysics, Dept.3006
University of Wyoming
Laramie, WY 82071
> Personal website
Education
Geophysics, PhD, Stanford University, 2013
Geophysics, MS, Stanford University, 2013
Applied mathematics, MS, Univ. of Milano-Bicocca, 2006
Mathematics, MS, University of Pavia, 2005
Mathematics, BS, University of Pavia, 2003
Selected Publications
- Feng, D. Grana, and K. Mosegaard, 2024, Learning generative models for geostatistical
facies simulation based on a training image, Mathematical Geosciences, 1-41.
- Gryvill, D. Grana, and H. Tjelmeland, 2024, Bayesian ensemble Kalman filter for Gaussian
mixture models, Mathematical Geosciences, 1-40.
- Li, and D. Grana, and M. Liu, 2024, Bayesian neural network and Bayesian physics-informed
neural network via variational inference for seismic petrophysical inversion, Geophysics,
89(6), M185-M196.
- Oladeji, A. Parsekian, and D. Grana, 2024, Machine learning-based hydrofacies classification:
effects of noise and regularization, Journal of Geophysical Research: Machine Learning
and Computation, 1(3), e2024JH000197.
- Grana, M. Liu, and L. de Figueiredo, 2024, GeosPIn: A MATLAB library for Geostatistical
Petrophysical Inversion, Geophysics, 89(5), 1-57.
- Liu, D. Grana, and T. Mukerji, 2024, Probabilistic subsurface characterization using
Stein variational gradient descent with autoencoder neural network: An application
to geologic carbon sequestration, Journal of Geophysical Research, Solid Earth, 129(7),
e2024JB029073.
- Anyosa, J. Eidsvik, and D. Grana, 2024, Evaluating geophysical monitoring strategies
for a CO2 storage project, Computers & Geosciences, 105561.
- Flinchum, D. Grana, B. Carr, N. Ravichandran, B. Eppinger, and W.S. Holbrook, 2024,
Low Vp/Vs ratios as an indicator for fractures in the critical zone, Geophysical Research
Letters, 51(2), e2023GL105946.
- Feng, K. Mosegaard, D. Grana, and T. Mukerji, 2024, Estimation of reservoir fracture
poperties from seismic data using Markov chain Monte Carlo methods, Mathematical Geosciences,
1-24.
- Li, M. Liu, M. Alfarraj, P. Tahmasebi, and D. Grana, 2024, Probabilistic physics informed
neural network P-PINN for seismic petrophysical inversion, Geophysics, 89(2), M17-M32.
- Ahmed, W. Weibull, and D. Grana, 2024, Constrained non-linear AVO inversion for dynamic
reservoir changes estimation from time-lapse seismic data, Geophysics, 89(1), R1-R15.
- Li, Grana, A. Parsekian, and B. Carr, 2023, Uncertainty quantification in tomographic
inversion of near-surface seismic refraction data, Mathematical Geosciences, 56, 76-101.
- Feng, K. Mosegaard, D. Grana, T. Mukerji, and T. Hansen, 2023, Stochastic facies inversion
with prior sampling by conditional generative adversarial networks based on training
image, Mathematical Geosciences, 1-26.
- Alyousuf, Y. Li, R. Krahenbuhl, and D. Grana, 2023, Three-axis borehole gravity monitoring
for CO2 storage using machine learning coupled to fluid flow simulator, Geophysical
Prospecting, 1-24.
- Liu, J. Narciso, D. Grana, E. Van De Vijver, and L. Azevedo, 2023, Frequency-domain
electromagnetic induction for the prediction of electrical conductivity and magnetic
susceptibility using geostatistical inversion and randomized tensor decomposition,
Geophysics, 88(6), E159-E171
- Guo, C. Luo, and D. Grana, 2023, Bayesian linearized rock-physics AVO inversion for
petrophysical and pore-geometry parameters in carbonate reservoirs, Geophysics, 88(5),
MR273-MR287.
- Grana, L. de Figueiredo, and K. Mosegaard, 2023, Markov chain Monte Carlo for seismic
facies classification, Geophysics, 88(3), M131-M143.
- Liu, Divakar Vashisth, D. Grana, and T. Mukerji, 2023, Joint inversion of geophysical
data for geologic carbon sequestration monitoring: a differentiable physics-informed
deep learning model, Journal of Geophysical Research: Solid Earth, 128(3), e2022JB025372.
- Hu, K. Innanen, and D. Grana, 2023, Feasibility of seismic time-lapse monitoring of
CO2 with rock physics parameterized full waveform inversion, Geophysical International
Journal, 233(1), 402-419.
- Miele, L. Azevedo, D. Grana, L. Varella, and B. Barreto, 2022, Iterative geostatistical
seismic inversion with rock physics constraints for permeability prediction, Geophysics,
88(2), M105-M117.
- Ahmed, W. Weibull, and D. Grana, 2022, Frequency-dependent AVO inversion applied to
physically based models for seismic attenuation, Geophysical International Journal,
233(1), 234-252.
- Callahan, C. Riebe, L. Sklar, S. Pasquet, Ken. Ferrier, J. Hahm, N. Taylor, D. Grana,
B. Flinchum, J. Hayes, and S. Holbrook, 2022, Forest vulnerability to drought controlled
by bedrock composition, Nature Geoscience, 15, 714–719.
- Grana, B. Russell, and T. Mukerji, 2022, Petrophysical inversion based on f-s-r AVO
linearization and canonical correlation analysis, Geophysics, 87 (6), 87: M247-M258.
- Grana, L. Azevedo, L. de Figueiredo, P. Connolly, and T. Mukerji, 2022, Probabilistic
inversion of seismic data for reservoir characterization: A review, Geophysics, 87
(5), M199-M216.
- Ahmed, W. Weibull, and D. Grana, 2022, Constrained non-linear AVO Inversion based
on the adjoint-state optimization, Computers & Geosciences, 168, 105214.
- Grana, A. Parsekian, B. Flinchum, N. Smeltz, R. Callahan, A. Li, J. Hayes, B. Carr,
K. Singha, C. Riebe, S. Holbrook, 2022, Geostatistical rock physics inversion for
predicting the spatial distribution of porosity and saturation in the critical zone,
Mathematical Geosciences, 1-31.
- Grana, 2022, Bayesian rock physics inversion with Kumaraswamy prior models, Geophysics,
87 (3), M87-M97.
- Feng, K. Mosegaard, D. Grana, and T. Mukerji, 2022, Application of Bayesian generative
adversarial networks to geological facies modeling, Mathematical Geosciences, 54 (518).
- Liu, D. Grana, and T. Mukerji, 2022, Randomized tensor decomposition for large-scale
data assimilation problems for carbon dioxide sequestration, Mathematical Geosciences,
1-25.
- Grana, L. de Figueiredo, and K. Mosegaard, 2022, Markov chain Monte Carlo for petrophysical
inversion, Geophysics, 87 (1), M13-M24.
- Liu, D. Grana, and L. de Figueiredo, 2022, Uncertainty quantification in stochastic
inversion with model and data dimension reduction using variational autoencoder, Geophysics,
87 (2), M43-M58.
- Li, X. Ying, Z. Zong, and D. Grana, 2022, Estimation of porosity, fluid bulk modulus,
and stiff-pore volume fraction using a multi-trace Bayesian AVO petrophysics inversion
in multi-porosity reservoirs, Geophysics, 87 (1), M25-M41.
- Grana, 2021, Multivariate probabilistic rock physics model using Kumaraswamy distributions,
Geophysics, 86 (5), 86(5), MR261-MR270.
- Grana, and L. de Figueiredo, 2021, SeReMpy: Seismic reservoir modeling python library,
Geophysics, 86 (6), F61-F69.
- Turco, L. Azevedo, D. Grana, A. Gorman, G. Crutchley, 2021, Characterization of gas
hydrate systems of the Hikurangi margin (New Zealand) thought geostatistical seismic
and petrophysical, Geophysics, 86 (6), R825-R838.
- Conjard, and D. Grana, 2021, Ensemble-based seismic and production data assimilation
using selection Kalman model, Mathematical Geosciences, 53 (7), 1445-1468.
- Sengupta, H. Zhang, Y. Zhao, M. Jervis, and D. Grana, 2021, Direct depth domain Bayesian
AVO inversion, Geophysics, 86 (5), M167-M176.
- Wang, V. Alvarado, D. Bagdonas, F. McLaughlin, J. Kaszuba, D. Grana, E. Campbell,
and K. Ng, 2021, Effect of CO2-brine-rock reactions on pore architecture and permeability
in dolostone: Implications for CO2 storage and EOR: International Journal of Greenhouse
Gas Control, 107, 103283.
- Feng, N. Balling, and D. Grana, 2021, Imputation of missing well log data by random
forest and uncertainty analysis, Computers & Geosciences, 152, 104763.
- Loe, D. Grana, and H. Tjelmeland, 2021, Geophysics-based fluid-facies predictions
using ensemble updating of binary state, Mathematical Geosciences, 53 (3), 325-347.
- Grana, M. Liu, and M. Ayani, 2021, Prediction of CO2 saturation spatial distribution using geostatistical inversion of time-lapse geophysical
data, IEEE Transactions on Geoscience and Remote Sensing, 59 (5), 3846-3856.
- de Figueiredo, T. Schmitz, R. Lunelli, M. Roisenberg, D. Freitas, and D. Grana, 2021,
Direct Multivariate Simulation - A stepwise conditional transformation for multivariate
geostatistical simulation, Computers & Geosciences, 147, 104659.
- D. Parsekian, D. Grana, F. Neves, M. S. Pleasants, N Y. Smeltz, and T. Kelleners,
2021, Hydro-geophysical comparison of hillslope critical zone architecture for different
geologic substrates, Geophysics, 86 (3), WB29-WB49.
- Feng, D. Grana, N. Balling, and T.M. Hansen, 2021, Bayesian convolutional neural networks
for seismic facies classification, IEEE Transactions on Geoscience and Remote Sensing,
59 (10), 8933-8940.
- Feng, D. Grana, and N. Balling, 2020, Variational inference in Bayesian neural network
for well log prediction, Geophysics, 86 (3), M91-M99.
- Feng, D. Grana, and N. Balling, 2020, Uncertainty quantification in fault detection
using convolutional neural networks, Geophysics, 86 (3), M41-M48.
- Talarico, W. Leao, and D. Grana, 2020, Comparison of recursive neural network and
Markov chain models in facies inversion, Mathematical Geosciences, 53 (3), 395-413.
- Forberg, and D.Grana, 2020, Bayesian inversion of time-lapse seismic AVO data for
multimodal reservoir properties, IEEE Transactions on Geoscience and Remote Sensing,
59 (11), 9104-9119.
- Ghon, D. Grana, E.C. Rankey, G.T. Baechle, F. Bleibinhaus, X. Lang, L. de Figueiredo,
and M.C Poppelreiter, 2020, Bayesian facies inversion on a partially dolomitized isolated
carbonate platform. A case study from Central Luconia province, Malaysia. Geophysics,
86 (2), 1MA-W19.
- R. Rosa, J.M. Santos, R.M. Souza, D. Grana, D.J. Schiozer, A. Davolio, and Y. Wang,
2020. Comparing different approaches of time-lapse seismic inversion. Journal of Geophysics
and Engineering, 17 (6), 929-939.
- Callahan, C. Riebe, S. Pasquet, K. Ferrier, D. Grana, L. Sklar, N. Taylor, B. Flinchum,
J. Hayes, B. Carr, P. Hartsough. A. Green, and S. Holbrook, 2020, Subsurface weathering
revealed in hillslope-integrated porosity distributions, Geophysical Research Letters,
47 (15).
- Ayani, and D. Grana, 2020, Statistical rock physics inversion of elastic and electrical
properties for CO2 sequestration studies, Geophysical Journal International, 223 (1),
707-724.
- Ayani, M. Liu, and D. Grana, 2020, Stochastic inversion method of time-lapse controlled
source electromagnetic data for CO2 plume monitoring, International Journal of Greenhouse
Gas Control, 100, 103098.
- Azevedo, D. Grana, and L. de Figueiredo, 2020, Stochastic Perturbation Optimization
for discrete-continuous inverse problems, Geophysics, 85 (5), M73-M83.
- Feng, T. Hansen, D. Grana, and N. Balling, 2020, An unsupervised deep-learning method
for porosity estimation based on post-stack seismic data, Geophysics, 85 (6), M97–M105.
- Liu, and D. Grana, 2020, Petrophysical characterization of deep saline aquifers for
CO2 storage using ensemble smoother and deep convolutional autoencoder, Advances in
Water Resources, 142, 103634.
- Grana, 2020, Bayesian petroelastic inversion with multiple prior models, Geophysics,
85 (5), 57–M71.
- Talarico, L. de Figueiredo, and D. Grana, 2020, Uncertainty quantification for seismic
facies classification, Geophysics, 85 (4), M43–M56.
- Claes, G.B. Paige, D. Grana, and A.D. Parsekian, 2020, Parameterization of a hydrologic
model with geophysical data to simulate observed subsurface return flow paths: Vadose
Zone Journal, 19 (1).
- Feng, N. Balling, and D. Grana, 2020, Lithofacies classification of a geothermal reservoir
in Denmark and its facies-dependent porosity estimation from seismic inversion, Geothermics,
87, 101854.
- Yu, K. Ng, E. Campbell, V. Alvarado, D. Grana, and J. Kaszuba, 2020, A generalized
power-law criterion for rocks based on Mohr failure theory, International Journal
of Rock Mechanics and Mining Sciences, 128, 104274.
- H. Le, A. M. Diaz-Viera, D. Vázquez-Ramírez, R. del Valle-García, A. Erdely, and D.
Grana, 2020, Bernstein copula-based spatial cosimulation for petrophysical property
prediction conditioned to elastic attributes, Journal of Petroleum Science and Engineering,
193, 107382.
- de Figueiredo, D. Grana, and M. Le Ravalec, 2019, Revisited formulation of FFT-moving
average, Mathematical Geosciences, 52, 801–816.
- Grana, L. Azevedo, and M. Liu, 2019, A comparison of deep machine learning and Monte
Carlo methods for facies classification from seismic data, Geophysics, 85 (4), WA41-WA52.
- Lorenzen, T. Bhakta, D. Grana, X. Luo, R. Valestrand, and G. Nevdal, 2019, Simultaneous
assimilation of production and seismic data: application to the Norne field, Computational
Geosciences, 24, 907–920.
- Liu, and D. Grana, 2019, Time-lapse seismic history matching with iterative ensemble
smoother and deep convolutional autoencoder, Geophysics, 85 (1), M15-M31.
- Grana, L. de Figueiredo, and L. Azevedo, 2019, Uncertainty quantification in Bayesian
inverse problems with model and data dimension reduction, Geophysics, 84 (6), M15-M24.
- Liu, and D. Grana, 2019, Accelerating geostatistical seismic inversion using TensorFlow:
A heterogeneous distributed deep learning framework, Computers & Geosciences, 124,
37-35.
- Lang, and D. Grana, 2019, Rock physics modeling and inversion for saturation and pressure
changes in time-lapse studies, Geophysical Prospecting, 67 (7), 1912-1928.
- de Figueiredo, D. Grana, M. Roisenberg, and B. Rodrigues, 2019, Multimodal McMC method
for non-linear petrophysical seismic inversion, Geophysics, 84 (5), M1-M13.
- Pan, H. Li, D. Grana, Y. Zhang, T. Liu, and C. Cheng, 2019, Quantitative characterization
of gas hydrate bearing sediment using elastic-electrical rock physics models, Marine
and Petroleum Geology, 105, 173-183.
- Yu, K. Ng, D. Grana, J. Kaszuba V. Alvarado and E. Campbell, 2019, Experimental investigation
of the effect of compliant pores on reservoir rocks under hydrostatic and triaxial
compression stress states, Canadian Geotechnical Journal, 56 (7), 983-991.
- de Figueiredo, D. Grana, M. Roisenberg, and B. Rodrigues, 2019, Gaussian Mixture McMC
method for linear seismic inversion, Geophysics, 49 (4), 493-515.
- Azevedo, D. Grana, and C. Amaro, 2019, Geostatistical rock physics AVA inversion,
Geophysical Journal International, 216 (3), 1728–1739.
- Flinchum, S. Holbrook, D. Grana, A. Parsekian, B. Carr, J. Hayes, and J. Jiao, 2018, Estimating
the water holding capacity of the critical zone using near‐surface geophysics, Hydrological
Processes, 32 (22), 3308-3326.
- Wang, V. Alvarado, J. McLaughlin, D. Bagdonas, J. Kaszuba, E. Campbell, and D. Grana,
2018, Low‐field nuclear magnetic resonance characterization of carbonate and sandstone
reservoirs from Rock Spring Uplift of Wyoming, Journal of Geophysical Research: Solid
Earth, 123.
- de Figueiredo, D. Grana, F. Bordignon, M. Santos, M. Roisenberg, and B. Rodrigues,
2018, Joint Bayesian inversion based on rock-physics prior modeling for the estimation
of spatially correlated reservoir properties, Geophysics, 83 (5), M49-M61.
- Lang, and D. Grana, 2018, Bayesian linearized petrophysical AVO inversion, Geophysics,
83 (3), M1-M14.
- Grana, 2018, Joint facies and reservoir properties inversion, Geophysics, 83 (3),
M15-M24.
- Liu, and D. Grana, 2018, Stochastic nonlinear inversion of seismic data for the estimation
of petroelastic properties using the ensemble smoother and data re-parameterization,
Geophysics, 83 (3), M25-M39.
- Fjeldstad, and D. Grana, 2018, Joint probabilistic petrophysics-seismic inversion
based on Gaussian mixture and Markov chain prior models, Geophysics, 83 (1), R31-R42.
- Wu, and D. Grana, 2017, Integrated petrophysics and rock physics modeling for well
log interpretation of elastic, electric, and petrophysical properties, Journal of
Applied Geophysics, 146, 54-66.
- Grana, T. Fjeldstad, and H. Omre, 2017, Bayesian Gaussian mixture linear inversion
for geophysical inverse problems, Mathematical Geosciences, 49 (4), 493–515.
- Grana, S. Verma, J. Pafeng, X. Lang, H. Sharma, W. Wu, F. McLaughlin, E. Campbell,
K. Ng, V. Alvarado, S. Mallick, and J. Kaszuba, 2017, A rock physics and seismic reservoir
characterization study of the Rock Springs Uplift, a CO2 sequestration site in Southwestern Wyoming, International Journal of Greenhouse Gas
Control, 63, 296-309.
- de Figueiredo, D. Grana, M. Santos, W. Figueiredo, M. Roisenberg, and G.S. Neto, 2017,
Bayesian seismic inversion based on rock-physics prior modeling for the joint estimation
of acoustic impedance, porosity and lithofacies, Journal of Computational Physics,
336, 128-142.
- Lang, and D. Grana, 2017, Geostatistical inversion of prestack seismic data for the
joint estimation of facies and impedances using stochastic sampling from Gaussian
mixture posterior distributions, Geophysics, 82 (4), M55-M65.
- Koneshloo, S. Aryana, D. Grana, and J. Pierre, 2017, A workflow for static reservoir
modeling guided by seismic data in a fluvial system, Mathematical Geosciences, 49,
995–1020.
- Grana, X. Lang, and W. Wu, 2017, Statistical facies classification from multiple seismic
attributes: comparison between Bayesian classification and Expectation-Maximization
method and application in petrophysical inversion, Geophysical Prospecting, 65 (2),
544-562.
- Grana, 2016, Bayesian linearized rock-physics inversion, Geophysics, 81 (6), D625-D641.
- Grana, 2016, Pressure–velocity relations in reservoir rocks: Modified MacBeth's equation, Journal
of Applied Geophysics, 132, 234-241.
- Schlanser, D. Grana, and E. Campbell-Stone, 2016, Lithofacies classification in the
Marcellus Shale by applying a statistical clustering algorithm to petrophysical and
elastic well logs inversion, Interpretation, 4 (2), SE31-SE49.
- Grana and M. Bronston, 2015, Probabilistic formulation of AVO modeling and AVO-attribute-based
facies classification using well logs, Geophysics, 80 (4), D343-D354.
- V. Lindberg, and D. Grana, 2015, Petro-elastic log-facies classification using the
Expectation–Maximization algorithm and hidden Markov models, Mathematical Geosciences,
47 (6), 719-752.
- Grana and T. Mukerji, 2015, Bayesian inversion of time-lapse seismic data for the
estimation of static reservoir properties and dynamic property changes, Geophysical
Prospecting, 63 (3), 637- 655.
- Grana, 2014, Probabilistic approach to rock physics modeling, Geophysics, 79 (4),
D123-D143.
- Grana, K. Schlanser, and E. Campbell-Stone, 2014, Petro-elastic and geomechanical
classification of lithologic facies in the Marcellus shale, Interpretation, 3 (1),
SA51-SA63.
- Grana, E. Paparozzi, S. Mancini and C. Tarchiani, 2013, Seismic driven probabilistic
classification of reservoir facies for static reservoir modelling: a case history
in the Barents Sea, Geophysical Prospecting, 61 (3), 613-629.
- Grana, T. Mukerji, J. Dvorkin, and G. Mavko, 2012, Stochastic inversion of facies
from seismic data based on sequential simulations and probability perturbation method,
Geophysics, 77 (4), M53-M72.
- Grana, T. Mukerji, L. Dovera, and E. Della Rossa, 2012, Sequential Simulations of
Mixed Discrete-Continuous Properties: Sequential Gaussian mixture Simulation, Geostatistics
Oslo 2012, Quantitative Geology and Geostatistics, Volume 17, 239-250.
- Grana, M. Pirrone, and T. Mukerji, 2012, Quantitative log interpretation and uncertainty
propagation of petrophysical properties and facies classification from rock physics
modeling and formation evaluation analysis, Geophysics, 77 (3), WA45–WA63.
- Grana, and E. Della Rossa, 2010, Probabilistic petrophysical-properties estimation
integrating statistical rock physics with seismic inversion, Geophysics, 75 (3), O21-O37.
Research
I am a geophysicist with a background in mathematics and statistics. My research interests
are: rock physics, seismic reservoir characterization, inverse problems, and geostatistics.
These are the topics that are the current focus of my research:
Rock physics modeling in the critical zone,
Geophysical monitoring of CO2 sequestration,
Joint inversion of seismic and electromagnetic data,
Stochastic inversion methods for subsurface characterization.
Teaching
My teaching portfolio includes GEOL 2120 Quantitative Geoscience, GEOL 4250/5250Mathematical
Methods for Geoscience, GEOL/ERS 4010 Exploration Geoscience, GEOL 5215 Inverse Theory,
and GEOL 5680 Rock Physics.
Student Opportunities
Students interested in working on one of the topics listed above are welcome to contact
me at my email address.