Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities

Deep autoregressive neural networks for high‐dimensional inverse problems in groundwater contaminant source identification

(2019) Shaoxing Mo et al.   WATER RESOURCES RESEARCH

Machine learning for data-driven discovery in solid Earth geoscience

(2019) Karianne J. Bergen et al.   SCIENCE

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

A Deep-Learning-Based Geological Parameterization for History Matching Complex Models

(2019) Yimin Liu et al.   Mathematical Geosciences

Deep learning and its application in geochemical mapping

(2019) Renguang Zuo et al.   EARTH-SCIENCE REVIEWS

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

(2019) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Towards a robust parameterization for conditioning facies models using deep variational autoencoders and ensemble smoother

(2019) Smith W.A. Canchumuni et al.   COMPUTERS & GEOSCIENCES

History matching geological facies models based on ensemble smoother and deep generative models

(2019) Smith W.A. Canchumuni et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Predicting CO 2 Plume Migration in Heterogeneous Formations Using Conditional Deep Convolutional Generative Adversarial Network

(2019) Zhi Zhong et al.   WATER RESOURCES RESEARCH

Gradient-based deterministic inversion of geophysical data with generative adversarial networks: Is it feasible?

(2019) Eric Laloy et al.   COMPUTERS & GEOSCIENCES

Simultaneous identification of a contaminant source and hydraulic conductivity via the restart normal-score ensemble Kalman filter

(2018) Teng Xu et al.   ADVANCES IN WATER RESOURCES

An adaptive Gaussian process-based iterative ensemble smoother for data assimilation

(2018) Lei Ju et al.   ADVANCES IN WATER RESOURCES

Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification

(2018) Yinhao Zhu et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Training-Image Based Geostatistical Inversion Using a Spatial Generative Adversarial Neural Network

(2018) Eric Laloy et al.   WATER RESOURCES RESEARCH

An Iterative Local Updating Ensemble Smoother for Estimation and Uncertainty Assessment of Hydrologic Model Parameters With Multimodal Distributions

(2018) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification

(2018) Rohit K. Tripathy et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

Discovering State-Parameter Mappings in Subsurface Models Using Generative Adversarial Networks

(2018) Alexander Y. Sun   GEOPHYSICAL RESEARCH LETTERS

Reduced-Order Modeling of Subsurface Multi-phase Flow Models Using Deep Residual Recurrent Neural Networks

(2018) J. Nagoor Kani et al.   TRANSPORT IN POROUS MEDIA

Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media

(2018) Shaoxing Mo et al.   WATER RESOURCES RESEARCH

A two-stage adaptive stochastic collocation method on nested sparse grids for multiphase flow in randomly heterogeneous porous media

(2017) Qinzhuo Liao et al.   JOURNAL OF COMPUTATIONAL PHYSICS

A Taylor Expansion-Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling

(2017) Shaoxing Mo et al.   WATER RESOURCES RESEARCH

Merging parallel tempering with sequential geostatistical resampling for improved posterior exploration of high-dimensional subsurface categorical fields

(2016) Eric Laloy et al.   ADVANCES IN WATER RESOURCES

Markov chain Monte Carlo simulation using the DREAM software package: Theory, concepts, and MATLAB implementation

(2016) Jasper A. Vrugt   ENVIRONMENTAL MODELLING & SOFTWARE

An adaptive Gaussian process-based method for efficient Bayesian experimental design in groundwater contaminant source identification problems

(2016) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

Geological realism in hydrogeological and geophysical inverse modeling: A review

(2015) Niklas Linde et al.   ADVANCES IN WATER RESOURCES

Image synthesis with graph cuts: a fast model proposal mechanism in probabilistic inversion

(2015) Tobias Zahner et al.   GEOPHYSICAL JOURNAL INTERNATIONAL

Persistent questions of heterogeneity, uncertainty, and scale in subsurface flow and transport

(2015) Peter K. Kitanidis   WATER RESOURCES RESEARCH

Efficient Bayesian experimental design for contaminant source identification

(2015) Jiangjiang Zhang et al.   WATER RESOURCES RESEARCH

A review of surrogate models and their application to groundwater modeling

(2015) M. J. Asher et al.   WATER RESOURCES RESEARCH

A New Differentiable Parameterization Based on Principal Component Analysis for the Low-Dimensional Representation of Complex Geological Models

(2014) Hai X. Vo et al.   Mathematical Geosciences

Inverse methods in hydrogeology: Evolution and recent trends

(2013) Haiyan Zhou et al.   ADVANCES IN WATER RESOURCES

Efficient Bayesian inference of subsurface flow models using nested sampling and sparse polynomial chaos surrogates

(2013) Ahmed H. Elsheikh et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Efficient posterior exploration of a high-dimensional groundwater model from two-stage Markov chain Monte Carlo simulation and polynomial chaos expansion

(2013) Eric Laloy et al.   WATER RESOURCES RESEARCH

Inverse problems with non-trivial priors: efficient solution through sequential Gibbs sampling

(2012) Thomas Mejer Hansen et al.   COMPUTATIONAL GEOSCIENCES

Ensemble smoother with multiple data assimilation

(2012) Alexandre A. Emerick et al.   COMPUTERS & GEOSCIENCES

Review of surrogate modeling in water resources

(2012) Saman Razavi et al.   WATER RESOURCES RESEARCH

An approach to handling non-Gaussianity of parameters and state variables in ensemble Kalman filtering

(2011) Haiyan Zhou et al.   ADVANCES IN WATER RESOURCES

Kernel principal component analysis for stochastic input model generation

(2011) Xiang Ma et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Roulette-wheel selection via stochastic acceptance

(2011) Adam Lipowski et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Bayesian calibration of a large-scale geothermal reservoir model by a new adaptive delayed acceptance Metropolis Hastings algorithm

(2011) T. Cui et al.   WATER RESOURCES RESEARCH

Recent progress on reservoir history matching: a review

(2010) Dean S. Oliver et al.   COMPUTATIONAL GEOSCIENCES

Bayesian inverse problem and optimization with iterative spatial resampling

(2010) Grégoire Mariethoz et al.   WATER RESOURCES RESEARCH

Sequential updating of multimodal hydrogeologic parameter fields using localization and clustering techniques

(2009) Alexander Y. Sun et al.   WATER RESOURCES RESEARCH

An efficient, high-order probabilistic collocation method on sparse grids for three-dimensional flow and solute transport in randomly heterogeneous porous media

(2008) G. Lin et al.   ADVANCES IN WATER RESOURCES

Issues in characterizing heterogeneity and connectivity in non-multiGaussian media

(2007) Jaouher Kerrou et al.   ADVANCES IN WATER RESOURCES