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Analysis of Different Statistical Models in Probabilistic Joint Estimation of Porosity and Litho-Fluid Facies from Acoustic Impedance Values

Geosciences (Basel), 2018-11, Vol.8 (11), p.388

Aleardi, Mattia

2018

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Application of Reversible Jump Markov Chain Monte Carlo Algorithms to Elastic and Petrophysical Amplitude-Versus-Angle Inversions

Pure and applied geophysics, 2020-07, Vol.177 (7), p.3335-3359

2020

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Ensemble-Based Electrical Resistivity Tomography with Data and Model Space Compression

Pure and applied geophysics, 2021-05, Vol.178 (5), p.1781-1803

2021

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Combining discrete cosine transform and convolutional neural networks to speed up the Hamiltonian Monte Carlo inversion of pre‐stack seismic data

Geophysical Prospecting, 2020-11, Vol.68 (9), p.2738-2761

Aleardi, Mattia

2020

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Discrete cosine transform for parameter space reduction in linear and non-linear AVA inversions

Journal of applied geophysics, 2020-08, Vol.179, p.104106, Article 104106

Aleardi, Mattia

2020

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A gradient‐based Markov chain Monte Carlo algorithm for elastic pre‐stack inversion with data and model space reduction

Geophysical Prospecting, 2021-06, Vol.69 (5), p.926-948

Aleardi, Mattia

2021

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Elastic prestack seismic inversion through discrete cosine transform reparameterization and convolutional neural networks

Geophysics, 2021-01, Vol.86 (1), p.R129-R146

2021

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Using orthogonal Legendre polynomials to parameterize global geophysical optimizations: Applications to seismic‐petrophysical inversion and 1D elastic full‐waveform inversion

Geophysical Prospecting, 2019-02, Vol.67 (2), p.331-348

Aleardi, Mattia

2019

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Elastic properties and litho‐fluid facies estimation from pre‐stack seismic data through bidirectional long short‐term memory networks

Geophysical Prospecting, 2022-03, Vol.70 (3), p.558-577

Aleardi, Mattia

2022

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Seismic velocity estimation from well log data with genetic algorithms in comparison to neural networks and multilinear approaches

Journal of applied geophysics, 2015-06, Vol.117, p.13-22

Aleardi, Mattia

2015

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Estimating petrophysical reservoir properties through extended elastic impedance inversion: applications to off-shore and on-shore reflection seismic data

Journal of geophysics and engineering, 2018-10, Vol.15 (5), p.2079-2090

Aleardi, Mattia

2018

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1D elastic full‐waveform inversion and uncertainty estimation by means of a hybrid genetic algorithm–Gibbs sampler approach

Geophysical Prospecting, 2017-01, Vol.65 (1), p.64-85

2017

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Hamiltonian Monte Carlo algorithms for target- and interval-oriented amplitude versus angle inversions

Geophysics, 2020-05, Vol.85 (3), p.R177-R194

2020

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Including edge preserving smoothing filter within blocky- constrained, target-oriented AVA inversions

Journal of applied geophysics, 2019-10, Vol.169, p.15-28

Aleardi, Mattia

2019

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Applying a probabilistic seismic-petrophysical inversion and two different rock-physics models for reservoir characterization in offshore Nile Delta

Journal of applied geophysics, 2018-01, Vol.148, p.272-286

Aleardi, Mattia

2018

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Assessment of different approaches to rock-physics modeling: A case study from offshore Nile Delta

Geophysics, 2017-01, Vol.82 (1), p.MR15-MR25

2017

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Markov chain Monte Carlo algorithms for target‐oriented and interval‐oriented amplitude versus angle inversions with non‐parametric priors and non‐linear forward modellings

Geophysical Prospecting, 2020-03, Vol.68 (3), p.735-760

2020

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A hybrid residual neural network–Monte Carlo approach to invert surface wave dispersion data

Near surface geophysics (Online), 2021-08, Vol.19 (4), p.397-414

2021

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A computationally efficient Bayesian approach to full‐waveform inversion

Geophysical Prospecting, 2024-02, Vol.72 (2), p.580-603

2024

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A probabilistic full waveform inversion of surface waves

Geophysical Prospecting, 2024-11, Vol.72 (9), p.3448-3473

2024

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A two-step inversion approach for seismic-reservoir characterization and a comparison with a single-loop Markov-chain Monte Carlo algorithm

Geophysics, 2018-05, Vol.83 (3), p.R227-R244

2018

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A convolutional neural network approach to electrical resistivity tomography

Journal of applied geophysics, 2021-10, Vol.193, p.104434, Article 104434

2021

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The limits of narrow and wide-angle AVA inversions for high Vp/Vs ratios: An application to elastic seabed characterization

Journal of applied geophysics, 2016-08, Vol.131, p.54-68

2016

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Estimation of acoustic macro models using a genetic full-waveform inversion: Applications to the Marmousi model

Geophysics, 2016-07, Vol.81 (4), p.R173-R184

2016

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Assessing the performances of recent global search algorithms using analytic objective functions and seismic optimization problems

Geophysics, 2019-09, Vol.84 (5), p.R767-R781

2019

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Analysis of Different Statistical Models in Probabilistic Joint Estimation of Porosity and Litho-Fluid Facies from Acoustic Impedance Values

Application of Reversible Jump Markov Chain Monte Carlo Algorithms to Elastic and Petrophysical Amplitude-Versus-Angle Inversions

Ensemble-Based Electrical Resistivity Tomography with Data and Model Space Compression

Combining discrete cosine transform and convolutional neural networks to speed up the Hamiltonian Monte Carlo inversion of pre‐stack seismic data

Discrete cosine transform for parameter space reduction in linear and non-linear AVA inversions

A gradient‐based Markov chain Monte Carlo algorithm for elastic pre‐stack inversion with data and model space reduction

Elastic prestack seismic inversion through discrete cosine transform reparameterization and convolutional neural networks

Using orthogonal Legendre polynomials to parameterize global geophysical optimizations: Applications to seismic‐petrophysical inversion and 1D elastic full‐waveform inversion

Elastic properties and litho‐fluid facies estimation from pre‐stack seismic data through bidirectional long short‐term memory networks

Seismic velocity estimation from well log data with genetic algorithms in comparison to neural networks and multilinear approaches

Estimating petrophysical reservoir properties through extended elastic impedance inversion: applications to off-shore and on-shore reflection seismic data

1D elastic full‐waveform inversion and uncertainty estimation by means of a hybrid genetic algorithm–Gibbs sampler approach

Hamiltonian Monte Carlo algorithms for target- and interval-oriented amplitude versus angle inversions

Including edge preserving smoothing filter within blocky- constrained, target-oriented AVA inversions

Applying a probabilistic seismic-petrophysical inversion and two different rock-physics models for reservoir characterization in offshore Nile Delta

Assessment of different approaches to rock-physics modeling: A case study from offshore Nile Delta

Markov chain Monte Carlo algorithms for target‐oriented and interval‐oriented amplitude versus angle inversions with non‐parametric priors and non‐linear forward modellings

A hybrid residual neural network–Monte Carlo approach to invert surface wave dispersion data

A computationally efficient Bayesian approach to full‐waveform inversion

A probabilistic full waveform inversion of surface waves

A two-step inversion approach for seismic-reservoir characterization and a comparison with a single-loop Markov-chain Monte Carlo algorithm

A convolutional neural network approach to electrical resistivity tomography

The limits of narrow and wide-angle AVA inversions for high Vp/Vs ratios: An application to elastic seabed characterization

Estimation of acoustic macro models using a genetic full-waveform inversion: Applications to the Marmousi model

Assessing the performances of recent global search algorithms using analytic objective functions and seismic optimization problems

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