Related references
Note: Only part of the references are listed.Deep Convolutional Autoencoders for Robust Flow Model Calibration Under Uncertainty in Geologic Continuity
Anyue Jiang et al.
WATER RESOURCES RESEARCH (2021)
A geoelectrical pre-study of Alvkarleby test embankment dam: 3D forward modelling and effects of structural constraints on the 3D inversion model of zoned embankment dams
Reyhaneh Norooz et al.
JOURNAL OF APPLIED GEOPHYSICS (2021)
Deep generative models in inversion: The impact of the generator's nonlinearity and development of a new approach based on a variational autoencoder
Jorge Lopez-Alvis et al.
COMPUTERS & GEOSCIENCES (2021)
Solving the frequency-domain acoustic VTI wave equation using physics-informed neural networks
Chao Song et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2021)
A geostatistical Markov chain Monte Carlo inversion algorithm for electrical resistivity tomography
Mattia Aleardi et al.
NEAR SURFACE GEOPHYSICS (2021)
Time-lapse seismic history matching with an iterative ensemble smoother and deep convolutional autoencoder
Mingliang Liu et al.
GEOPHYSICS (2020)
Combined Inversion of Land and Marine Electrical Resistivity Tomography for Submarine Groundwater Discharge and Saltwater Intrusion Characterization
T. Hermans et al.
GEOPHYSICAL RESEARCH LETTERS (2020)
Hamiltonian Monte Carlo algorithms for target- and interval-oriented amplitude versus angle inversions
Mattia Aleardi et al.
GEOPHYSICS (2020)
Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non-Gaussian Hydraulic Conductivities
Shaoxing Mo et al.
WATER RESOURCES RESEARCH (2020)
Bayesian Elastic Full-Waveform Inversion Using Hamiltonian Monte Carlo
Lars Gebraad et al.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2020)
The inversion of data from very large three-dimensional electrical resistivity tomography mobile surveys
M. H. Loke et al.
GEOPHYSICAL PROSPECTING (2020)
Combining discrete cosine transform and convolutional neural networks to speed up the Hamiltonian Monte Carlo inversion of pre-stack seismic data
Mattia Aleardi
GEOPHYSICAL PROSPECTING (2020)
Deep learning for fast simulation of seismic waves in complex media
Ben Moseley et al.
SOLID EARTH (2020)
The Influence of Geostatistical Prior Modeling on the Solution of DCT-Based Bayesian Inversion: A Case Study from Chicken Creek Catchment
Davood Moghadas et al.
REMOTE SENSING (2019)
Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?
Eric Laloy et al.
COMPUTERS & GEOSCIENCES (2019)
Hamiltonian Monte Carlo solution of tomographic inverse problems
Andreas Fichtner et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2019)
Using orthogonal Legendre polynomials to parameterize global geophysical optimizations: Applications to seismic-petrophysical inversion and 1D elastic full-waveform inversion
Mattia Aleardi
GEOPHYSICAL PROSPECTING (2019)
Hamiltonian Nullspace Shuttles
Andreas Fichtner et al.
GEOPHYSICAL RESEARCH LETTERS (2019)
Improvement of 2D ERT measurements conducted along a small earth-filled dyke using 3D topographic data and 3D computation of geometric factors
Gregory Bievre et al.
JOURNAL OF APPLIED GEOPHYSICS (2018)
Hamiltonian Monte Carlo Inversion of Seismic Sources in Complex Media
Andreas Fichtner et al.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2018)
Efficient Monte Carlo sampling of inverse problems using a neural network-based forward-applied to GPR crosshole traveltime inversion
T. M. Hansen et al.
GEOPHYSICAL JOURNAL INTERNATIONAL (2017)
Transdimensional seismic inversion using the reversible jump Hamiltonian Monte Carlo algorithm
Mrinal K. Sen et al.
GEOPHYSICS (2017)
Inversion using a new low-dimensional representation of complex binary geological media based on a deep neural network
Eric Laloy et al.
ADVANCES IN WATER RESOURCES (2017)
Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation
Jasper A. Vrugt
ENVIRONMENTAL MODELLING & SOFTWARE (2016)
Interpolation of landslide movements to improve the accuracy of 4D geoelectrical monitoring
Sebastian Uhlemann et al.
JOURNAL OF APPLIED GEOPHYSICS (2015)
A Parallel Tempering algorithm for probabilistic sampling and multimodal optimization
Malcolm Sambridge
GEOPHYSICAL JOURNAL INTERNATIONAL (2014)
Probabilistic electrical resistivity tomography of a CO2 sequestration analog
Tobias Lochbuehler et al.
JOURNAL OF APPLIED GEOPHYSICS (2014)
IP4DI: A software for time-lapse 2D/3D DC-resistivity and induced polarization tomography
M. Karaoulis et al.
COMPUTERS & GEOSCIENCES (2013)
Approximate Bayesian computation with differential evolution
Brandon M. Turner et al.
JOURNAL OF MATHEMATICAL PSYCHOLOGY (2012)
A STOCHASTIC NEWTON MCMC METHOD FOR LARGE-SCALE STATISTICAL INVERSE PROBLEMS WITH APPLICATION TO SEISMIC INVERSION
James Martin et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2012)
Environmental monitoring of leaks using time-lapsed long electrode electrical resistivity
Dale F. Rucker et al.
JOURNAL OF APPLIED GEOPHYSICS (2011)
PARAMETER AND STATE MODEL REDUCTION FOR LARGE-SCALE STATISTICAL INVERSE PROBLEMS
Chad Lieberman et al.
SIAM JOURNAL ON SCIENTIFIC COMPUTING (2010)
DRAM: Efficient adaptive MCMC
Heikki Haario et al.
STATISTICS AND COMPUTING (2006)
A review of the adjoint-state method for computing the gradient of a functional with geophysical applications
R. -E. Plessix
GEOPHYSICAL JOURNAL INTERNATIONAL (2006)
Monte Carlo methods in geophysical inverse problems
M Sambridge et al.
REVIEWS OF GEOPHYSICS (2002)
Direct sequential simulation and cosimulation
A Soares
MATHEMATICAL GEOLOGY (2001)
Prior information, sampling distributions, and the curse of dimensionality
A Curtis et al.
GEOPHYSICS (2001)
Share Paper
