| Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion D Grana, E Della Rossa Geophysics 75 (3), O21–O37, 2010 | 491 | 2010 |
| Seismic reflections of rock properties J Dvorkin, MA Gutierrez, D Grana Cambridge University Press, 2014 | 273 | 2014 |
| Bayesian Gaussian Mixture Linear Inversion for Geophysical Inverse Problems D Grana, T Fjeldstad, H Omre Mathematical Geosciences 49 (4), 493–515, 2017 | 190 | 2017 |
| Bayesian linearized rock-physics inversion D Grana Geophysics 81 (6), D625-D641, 2016 | 178 | 2016 |
| 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 | 135 | 2012 |
| 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 | 88 | 2012 |
| 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 | 86 | 2018 |
| 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 | 79 | 2020 |
| 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 | 79 | 2017 |
| Imputation of missing well log data by random forest and its uncertainty analysis R Feng, D Grana, N Balling Computers & Geosciences 152, 104763, 2021 | 77 | 2021 |
| Joint facies and reservoir properties inversion D Grana Geophysics 83 (3), M15-M24, 2018 | 74 | 2018 |
| Joint probabilistic petrophysics-seismic inversion based on Gaussian mixture and Markov chain prior models T Fjeldstad, D Grana Geophysics 83 (1), R31-R42, 2018 | 74 | 2018 |
| Seismic reservoir modeling: Theory, examples, and algorithms D Grana, T Mukerji, P Doyen John Wiley & Sons, 2021 | 71 | 2021 |
| 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 | 70 | 2020 |
| 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 | 70 | 2018 |
| 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 | 69 | 2019 |
| Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework M Liu, D Grana Computers & Geosciences 124, 37-45, 2019 | 63 | 2019 |
| 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 | 63 | 2015 |
| Stochastic nonlinear inversion of seismic data for the estimation of petroelastic properties using the ensemble smoother and data reparameterization M Liu, D Grana Geophysics 83 (3), M25-M39, 2018 | 58 | 2018 |
| 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 | 56 | 2019 |
Tapan MukerjiStanford University在 stanford.edu 的电子邮件经过验证
