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Dario Grana
Dario Grana
Verified email at uwyo.edu
Title
Cited by
Cited by
Year
Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion
D Grana, E Della Rossa
Geophysics 75 (3), O21–O37, 2010
4762010
Seismic reflections of rock properties
J Dvorkin, MA Gutierrez, D Grana
Cambridge University Press, 2014
2712014
Bayesian Gaussian Mixture Linear Inversion for Geophysical Inverse Problems
D Grana, T Fjeldstad, H Omre
Mathematical Geosciences 49 (4), 493–515, 2017
1802017
Bayesian linearized rock-physics inversion
D Grana
Geophysics 81 (6), D625-D641, 2016
1672016
Stochastic inversion of facies from seismic data based on sequential simulations and probability perturbation method
D Grana, T Mukerji, J Dvorkin, G Mavko
Geophysics 77 (4), M53-M72, 2012
1272012
Quantitative log interpretation and uncertainty propagation of petrophysical properties and facies classification from rock-physics modeling and formation evaluation analysis
D Grana, M Pirrone, T Mukerji
Geophysics 77 (3), WA45-WA63, 2012
852012
Joint Bayesian inversion based on rock-physics prior modeling for the estimation of spatially correlated reservoir properties
LP de Figueiredo, D Grana, FL Bordignon, M Santos, M Roisenberg, ...
Geophysics 83 (5), M49-M61, 2018
802018
Joint probabilistic petrophysics-seismic inversion based on Gaussian mixture and Markov chain prior models
T Fjeldstad, D Grana
Geophysics 83 (1), R31-R42, 2018
742018
Bayesian seismic inversion based on rock-physics prior modeling for the joint estimation of acoustic impedance, porosity and lithofacies
LP de Figueiredo, D Grana, M Santos, W Figueiredo, M Roisenberg, ...
Journal of Computational Physics 336, 128-142, 2017
742017
A comparison of deep machine learning and Monte Carlo methods for facies classification from seismic data
D Grana, L Azevedo, M Liu
Geophysics 85 (4), WA41-WA52, 2020
702020
Joint facies and reservoir properties inversion
D Grana
Geophysics 83 (3), M15-M24, 2018
702018
Estimating the water holding capacity of the critical zone using near‐surface geophysics
BA Flinchum, WS Holbrook, D Grana, AD Parsekian, BJ Carr, JL Hayes, ...
Hydrological Processes 32 (22), 3308-3326, 2018
672018
Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion
LP de Figueiredo, D Grana, M Roisenberg, BB Rodrigues
Geophysics 84 (3), R463-R476, 2019
662019
Seismic reservoir modeling: Theory, examples, and algorithms
D Grana, T Mukerji, P Doyen
John Wiley & Sons, 2021
642021
An unsupervised deep-learning method for porosity estimation based on poststack seismic data
R Feng, T Mejer Hansen, D Grana, N Balling
Geophysics 85 (6), M97-M105, 2020
642020
Imputation of missing well log data by random forest and its uncertainty analysis
R Feng, D Grana, N Balling
Computers & Geosciences 152, 104763, 2021
612021
Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework
M Liu, D Grana
Computers & Geosciences 124, 37-45, 2019
612019
Bayesian inversion of time‐lapse seismic data for the estimation of static reservoir properties and dynamic property changes
D Grana, T Mukerji
Geophysical Prospecting 63 (3), 637-655, 2015
612015
Seismic driven probabilistic classification of reservoir facies for static reservoir modelling: a case history in the Barents Sea
D Grana, E Paparozzi, S Mancini, C Tarchiani
Geophysical prospecting 61 (3), 613-629, 2013
542013
Multimodal Markov chain Monte Carlo method for nonlinear petrophysical seismic inversion
LP de Figueiredo, D Grana, M Roisenberg, BB Rodrigues
Geophysics 84 (5), M1-M13, 2019
532019
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