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Review and comparison of two meta-model-based uncertainty propagation analysis methods in groundwater applications: polynomial chaos expansion and Gaussian process emulation

Stochastic environmental research and risk assessment, 2019-02, Vol.33 (2), p.607-631

Rajabi, Mohammad Mahdi

2019

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The impact of geological heterogeneity on coupled CO2 storage and geothermal extraction in inclined reservoirs

Journal of hydrology (Amsterdam), 2023-02, Vol.617, p.128950, Article 128950

2023

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Evaluation of CO2 sequestration and circulation in fault-bounded thin geothermal reservoirs in North Oman using response surface methods

Journal of hydrology (Amsterdam), 2021-07, Vol.598, p.126411, Article 126411

2021

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Sampling efficiency in Monte Carlo based uncertainty propagation strategies: Application in seawater intrusion simulations

Advances in water resources, 2014-05, Vol.67, p.46-64

2014

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Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling

Advances in water resources, 2015-02, Vol.76, p.127-139

2015

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Probabilistic net present value analysis for designing techno-economically optimal sequential CO2 sequestration and geothermal energy extraction

Journal of hydrology (Amsterdam), 2022-09, Vol.612, p.128237, Article 128237

2022

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Accelerating regional-scale groundwater flow simulations with a hybrid deep neural network model incorporating mixed input types: A case study of the northeast Qatar aquifer

Journal of hydroinformatics, 2024-06, Vol.26 (6), p.1333-1350

2024

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Encoder–Decoder Convolutional Neural Networks for Flow Modeling in Unsaturated Porous Media: Forward and Inverse Approaches

Water (Basel), 2023-08, Vol.15 (16), p.2890

2023

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Contaminant source characterization in a coastal aquifer influenced by tidal forces and density-driven flow

Journal of hydrology (Amsterdam), 2022-07, Vol.610, p.127807, Article 127807

2022

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Uncertainty-based simulation-optimization using Gaussian process emulation: Application to coastal groundwater management

Journal of hydrology (Amsterdam), 2017-12, Vol.555, p.518-534

2017

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Leak detection and localization in water distribution networks using conditional deep convolutional generative adversarial networks

Water research (Oxford), 2023-06, Vol.238, p.120012-120012, Article 120012

2023

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Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations

Environmental science and pollution research international, 2013-07, Vol.20 (7), p.4777-4789

2013

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Combining harmonic pumping with a tracer test for fractured aquifer characterization

Hydrogeology journal, 2023-03, Vol.31 (2), p.371-385

2023

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Model-data interaction in groundwater studies: Review of methods, applications and future directions

Journal of hydrology (Amsterdam), 2018-12, Vol.567, p.457-477

2018

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Efficient fuzzy Bayesian inference algorithms for incorporating expert knowledge in parameter estimation

Journal of hydrology (Amsterdam), 2016-05, Vol.536, p.255-272

2016

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Anomaly detection in groundwater monitoring data using LSTM-Autoencoder neural networks

Environmental monitoring and assessment, 2024-08, Vol.196 (8), p.692, Article 692

2024

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Simulation-optimization with machine learning for geothermal reservoir recovery: Current status and future prospects

Advances in Geo-Energy Research, 2022-12, Vol.6 (6), p.451-453

2022

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Dynamical modeling of a geothermal system to predict hot spring behavior

Modeling earth systems and environment, 2023-09, Vol.9 (3), p.3085-3093

2023

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Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations

Journal of hydrology (Amsterdam), 2015-01, Vol.520, p.101-122

2015

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Simulation-based cost-risk analysis of phosphorus reduction alternatives: application to a mountainous watershed

Modeling earth systems and environment, 2023-03, Vol.9 (1), p.847-863

2023

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An Analytical Solution for Variable Viscosity Flow in Fractured Media: Development and Comparative Analysis With Numerical Simulations

Water resources research, 2024-03, Vol.60 (3), p.n/a

2024

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Modeling transient natural convection in heterogeneous porous media with Convolutional Neural Networks

International journal of heat and mass transfer, 2024-05, Vol.222, p.125149, Article 125149

2024

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Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media

International journal of heat and mass transfer, 2022-02, Vol.183, p.122131, Article 122131

2022

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Uncertainty quantification and global sensitivity analysis of double-diffusive natural convection in a porous enclosure

International journal of heat and mass transfer, 2020-12, Vol.162, p.120291, Article 120291

2020

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An improved Kalman filtering approach for the estimation of unsaturated flow parameters by assimilating photographic imaging data

Journal of hydrology (Amsterdam), 2020-11, Vol.590, p.125373, Article 125373

2020

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Review and comparison of two meta-model-based uncertainty propagation analysis methods in groundwater applications: polynomial chaos expansion and Gaussian process emulation

The impact of geological heterogeneity on coupled CO2 storage and geothermal extraction in inclined reservoirs

Evaluation of CO2 sequestration and circulation in fault-bounded thin geothermal reservoirs in North Oman using response surface methods

Sampling efficiency in Monte Carlo based uncertainty propagation strategies: Application in seawater intrusion simulations

Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling

Probabilistic net present value analysis for designing techno-economically optimal sequential CO2 sequestration and geothermal energy extraction

Accelerating regional-scale groundwater flow simulations with a hybrid deep neural network model incorporating mixed input types: A case study of the northeast Qatar aquifer

Encoder–Decoder Convolutional Neural Networks for Flow Modeling in Unsaturated Porous Media: Forward and Inverse Approaches

Contaminant source characterization in a coastal aquifer influenced by tidal forces and density-driven flow

Uncertainty-based simulation-optimization using Gaussian process emulation: Application to coastal groundwater management

Leak detection and localization in water distribution networks using conditional deep convolutional generative adversarial networks

Predicting hourly air pollutant levels using artificial neural networks coupled with uncertainty analysis by Monte Carlo simulations

Combining harmonic pumping with a tracer test for fractured aquifer characterization

Model-data interaction in groundwater studies: Review of methods, applications and future directions

Efficient fuzzy Bayesian inference algorithms for incorporating expert knowledge in parameter estimation

Anomaly detection in groundwater monitoring data using LSTM-Autoencoder neural networks

Simulation-optimization with machine learning for geothermal reservoir recovery: Current status and future prospects

Dynamical modeling of a geothermal system to predict hot spring behavior

Polynomial chaos expansions for uncertainty propagation and moment independent sensitivity analysis of seawater intrusion simulations

Simulation-based cost-risk analysis of phosphorus reduction alternatives: application to a mountainous watershed

An Analytical Solution for Variable Viscosity Flow in Fractured Media: Development and Comparative Analysis With Numerical Simulations

Modeling transient natural convection in heterogeneous porous media with Convolutional Neural Networks

Analyzing the efficiency and robustness of deep convolutional neural networks for modeling natural convection in heterogeneous porous media

Uncertainty quantification and global sensitivity analysis of double-diffusive natural convection in a porous enclosure

An improved Kalman filtering approach for the estimation of unsaturated flow parameters by assimilating photographic imaging data

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