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D-Index & Metrics

Earth Science

D-Index
37
Citations
4493
World Ranking
6960
National Ranking
2420

Overview

Dario Grana is affiliated with the University of Wyoming in the United States, working primarily within the fields of Engineering and Earth and Planetary Sciences. Their research contributions span several subfields, including Geophysics, Ocean Engineering, Mechanical Engineering, Environmental Engineering, and Mechanics of Materials.

The scientist's work addresses a variety of topics in geosciences and engineering, focusing particularly on seismic and reservoir analysis. Core research areas include:

  • Seismic Imaging and Inversion Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Reservoir Engineering and Simulation Methods
  • Hydrocarbon Exploration and Reservoir Analysis
  • Seismic Waves and Analysis
  • Geophysical and Geoelectrical Methods
  • Drilling and Well Engineering

Dario Grana has published extensively, with notable frequent venues including Geophysics, Mathematical Geosciences, Computers & Geosciences, IEEE Transactions on Geoscience and Remote Sensing, and Geophysical Journal International. The scientist's publication record includes several papers with a significant citation impact, among which are:

  • "Imputation of missing well log data by random forest and its uncertainty analysis," 2021, Computers & Geosciences
  • "Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples," 2022, Geophysics
  • "An unsupervised deep-learning method for porosity estimation based on poststack seismic data," 2020, Geophysics
  • "Bayesian Convolutional Neural Networks for Seismic Facies Classification," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Forest vulnerability to drought controlled by bedrock composition," 2022, Nature Geoscience

Throughout their career, Dario Grana has collaborated frequently with a number of researchers. The most frequent coauthors include Mingliang Liu, Runhai Feng, Tapan Mukerji, Klaus Mosegaard, and A. Parsekian.

Best Publications

  • Probabilistic petrophysical-properties estimation integrating statistical rock physics with seismic inversion

    Dario Grana;Ernesto Della Rossa

  • Seismic Reflections of Rock Properties

    Jack Dvorkin;Mario A. Gutierrez;Dario Grana

  • Bayesian Gaussian Mixture Linear Inversion for Geophysical Inverse Problems

    Dario Grana;Torstein Fjeldstad;Henning Omre

  • Bayesian linearized rock-physics inversion

    Dario Grana

  • Stochastic inversion of facies from seismic data based on sequential simulations and probability perturbation method

    Dario Grana;Tapan Mukerji;Jack Dvorkin;Gary Mavko

  • Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples

    Unknown

  • Quantitative log interpretation and uncertainty propagation of petrophysical properties and facies classification from rock-physics modeling and formation evaluation analysis

    Dario Grana;Marco Pirrone;Tapan Mukerji

  • Imputation of missing well log data by random forest and its uncertainty analysis

    Runhai Feng;Dario Grana;Niels Balling

  • A comparison of deep machine learning and Monte Carlo methods for facies classification from seismic data

    Dario Grana;Leonardo Azevedo;Mingliang Liu

  • Seismic Reservoir Modeling

    Unknown

  • An unsupervised deep-learning method for porosity estimation based on poststack seismic dataDeep learning for porosity estimation

    Runhai Feng;Thomas Mejer Hansen;Dario Grana;Niels Balling

  • Bayesian Convolutional Neural Networks for Seismic Facies Classification

    Runhai Feng;Niels Balling;Dario Grana;Jesper Soren Dramsch

  • Joint Bayesian inversion based on rock-physics prior modeling for the estimation of spatially correlated reservoir properties

    Leandro Passos de Figueiredo;Dario Grana;Fernando Luis Bordignon;Marcio Santos

  • Estimating the water holding capacity of the critical zone using near-surface geophysics

    Brady A. Flinchum;Brady A. Flinchum;W. Steven Holbrook;W. Steven Holbrook;Dario Grana;Andrew D. Parsekian

  • Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion

    Leandro Passos de Figueiredo;Dario Grana;Mauro Roisenberg;Bruno B. Rodrigues

  • Bayesian seismic inversion based on rock-physics prior modeling for the joint estimation of acoustic impedance, porosity and lithofacies

    Leandro Passos de Figueiredo;Dario Grana;Marcio Santos;Wagner Figueiredo

  • Uncertainty quantification in fault detection using convolutional neural networks

    Runhai Feng;Dario Grana;Niels Balling

  • Joint probabilistic petrophysics-seismic inversion based on Gaussian mixture and Markov chain prior models

    Torstein Fjeldstad;Dario Grana

  • Accelerating geostatistical seismic inversion using TensorFlow: A heterogeneous distributed deep learning framework

    Mingliang Liu;Dario Grana

  • Joint facies and reservoir properties inversion

    Dario Grana

  • Petrophysical characterization of deep saline aquifers for CO2 storage using ensemble smoother and deep convolutional autoencoder

    Mingliang Liu;Dario Grana

  • Effect of CO2-brine-rock reactions on pore architecture and permeability in dolostone: Implications for CO2 storage and EOR

    Heng Wang;Vladimir Alvarado;Davin A. Bagdonas;J. Fred McLaughlin

  • Multimodal Markov chain Monte Carlo method for nonlinear petrophysical seismic inversionMultimodal MCMC inversion

    Leandro Passos de Figueiredo;Dario Grana;Mauro Roisenberg;Bruno B. Rodrigues

  • Bayesian inversion of time-lapse seismic data for the estimation of static reservoir properties and dynamic property changes

    Dario Grana;Tapan Mukerji

  • Stochastic nonlinear inversion of seismic data for the estimation of petroelastic properties using the ensemble smoother and data reparameterization

    Mingliang Liu;Dario Grana

  • Seismic Reflections of Rock Properties: Plate Section

    Jack Dvorkin;Mario A. Gutierrez;Dario Grana

Frequent Co-Authors

Jack Dvorkin
Jack Dvorkin King Fahd University of Petroleum and Minerals
Vladimir Alvarado
Vladimir Alvarado University of Wyoming
Tapan Mukerji
Tapan Mukerji Stanford University
Niels Balling
Niels Balling Aarhus University
Jon Chorover
Jon Chorover University of Arizona
Ingo Pecher
Ingo Pecher GNS Science
Kurt J. Marfurt
Kurt J. Marfurt University of Oklahoma
Manika Prasad
Manika Prasad Colorado School of Mines
Lin Liu
Lin Liu Chinese Academy of Sciences
Hongliu Zeng
Hongliu Zeng The University of Texas at Austin

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