Deep residual U-net convolution neural networks with autoregressive strategy for fluid flow predictions in large-scale geosystems
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Deep residual U-net convolution neural networks with autoregressive strategy for fluid flow predictions in large-scale geosystems
Authors
Keywords
Multiphase flow, Subsurface systems, Deep learning, Flow modeling
Journal
ADVANCES IN WATER RESOURCES
Volume 150, Issue -, Pages 103878
Publisher
Elsevier BV
Online
2021-02-19
DOI
10.1016/j.advwatres.2021.103878
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Physics- and image-based prediction of fluid flow and transport in complex porous membranes and materials by deep learning
- (2021) Serveh Kamrava et al. JOURNAL OF MEMBRANE SCIENCE
- Deep-learning-based surrogate flow modeling and geological parameterization for data assimilation in 3D subsurface flow
- (2021) Meng Tang et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Flexible and Modular Simultaneous Modeling of Flow and Reactive Transport in Rivers and Hyporheic Zones
- (2020) Bing Li et al. WATER RESOURCES RESEARCH
- Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities
- (2020) Shaoxing Mo et al. WATER RESOURCES RESEARCH
- Machine Learning in Geo- and Environmental Sciences: From Small to Large Scale
- (2020) Pejman Tahmasebi et al. ADVANCES IN WATER RESOURCES
- Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC
- (2020) Sebastian Reuschen et al. ADVANCES IN WATER RESOURCES
- A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems
- (2020) Meng Tang et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Developing a workflow to select representative reservoir models combining distance-based clustering and data assimilation for decision making process
- (2020) Seyed Kourosh Mahjour et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Using Unsupervised Machine Learning to Characterize Capillary Flow and Residual Trapping
- (2020) Hailun Ni et al. WATER RESOURCES RESEARCH
- Uncertainty quantification in heterogeneous tight/shale reservoirs from analysis of transient/boundary-dominated production data
- (2020) Mohammadhossein Heidari Sureshjani et al. Journal of Natural Gas Science and Engineering
- Deep-learning-based surrogate model for reservoir simulation with time-varying well controls
- (2020) Zhaoyang Larry Jin et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Accelerating geostatistical modeling using geostatistics-informed machine Learning
- (2020) Tao Bai et al. COMPUTERS & GEOSCIENCES
- Deep autoregressive neural networks for high‐dimensional inverse problems in groundwater contaminant source identification
- (2019) Shaoxing Mo et al. WATER RESOURCES RESEARCH
- Geometric multigrid methods for Darcy–Forchheimer flow in fractured porous media
- (2019) A. Arrarás et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Identifying the release history of a groundwater contaminant source based on an ensemble surrogate model
- (2019) Zhenxiang Xing et al. JOURNAL OF HYDROLOGY
- Predicting CO 2 Plume Migration in Heterogeneous Formations Using Conditional Deep Convolutional Generative Adversarial Network
- (2019) Zhi Zhong et al. WATER RESOURCES RESEARCH
- Hydraulic fracture propagation in naturally fractured reservoirs: Complex fracture or fracture networks
- (2019) HanYi Wang Journal of Natural Gas Science and Engineering
- Understanding the performance of hydraulically fractured wells in the laumontite-rich tight glutenite formation
- (2019) Beibei Chen et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm
- (2019) Serveh Kamrava et al. NEURAL NETWORKS
- Experimental and theoretical investigations of two-phase flow in low pressure steam–water injector
- (2019) Roman Kwidzinski INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
- Parametric Bayesian estimation of point-like pollution sources of groundwater layers
- (2019) B. Ait-El-Fquih et al. SIGNAL PROCESSING
- Surrogate‐Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error
- (2019) Jiangjiang Zhang et al. WATER RESOURCES RESEARCH
- An efficient Bayesian data-worth analysis using a multilevel Monte Carlo method
- (2018) Dan Lu et al. ADVANCES IN WATER RESOURCES
- Explicit treatment for Dirichlet, Neumann and Cauchy boundary conditions in POD-based reduction of groundwater models
- (2018) Moritz Gosses et al. ADVANCES IN WATER RESOURCES
- Evaluating the combined effects of source zone mass release rates and aquifer heterogeneity on solute discharge uncertainty
- (2018) Felipe P.J. de Barros ADVANCES IN WATER RESOURCES
- An adaptive Gaussian process-based iterative ensemble smoother for data assimilation
- (2018) Lei Ju et al. ADVANCES IN WATER RESOURCES
- Road Extraction by Deep Residual U-Net
- (2018) Zhengxin Zhang et al. IEEE Geoscience and Remote Sensing Letters
- Reduced-order modeling of CO 2 storage operations
- (2018) Zhaoyang Larry Jin et al. International Journal of Greenhouse Gas Control
- A Multiscale Approach for Geologically and Flow Consistent Modeling
- (2018) Pejman Tahmasebi et al. TRANSPORT IN POROUS MEDIA
- Coupled hydrogeophysical inversion of DNAPL source zone architecture and permeability field in a 3D heterogeneous sandbox by assimilation time-lapse cross-borehole electrical resistivity data via ensemble Kalman filtering
- (2018) Xueyuan Kang et al. JOURNAL OF HYDROLOGY
- Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media
- (2018) Shaoxing Mo et al. WATER RESOURCES RESEARCH
- Efficient triple-grid multiscale finite element method for 3D groundwater flow simulation in heterogeneous porous media
- (2017) Yifan Xie et al. JOURNAL OF HYDROLOGY
- A Taylor Expansion-Based Adaptive Design Strategy for Global Surrogate Modeling With Applications in Groundwater Modeling
- (2017) Shaoxing Mo et al. WATER RESOURCES RESEARCH
- Preparation of novel high copper ions removal membranes by embedding organosilane-functionalized multi-walled carbon nanotube
- (2015) Guangyong Zeng et al. JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
- 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
- MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in Fourier space
- (2014) Pejman Tahmasebi et al. COMPUTERS & GEOSCIENCES
- Reduced-Order Modeling for Compositional Simulation by Use of Trajectory Piecewise Linearization
- (2014) Jincong He et al. SPE JOURNAL
- 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
- Reveal: An Extensible Reduced-Order Model Builder for Simulation and Modeling
- (2013) Khushbu Agarwal et al. COMPUTING IN SCIENCE & ENGINEERING
- Model reduction of a coupled numerical model using proper orthogonal decomposition
- (2013) Xinya Li et al. JOURNAL OF HYDROLOGY
- 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
- Multiple-point geostatistical modeling based on the cross-correlation functions
- (2012) Pejman Tahmasebi et al. COMPUTATIONAL GEOSCIENCES
- Reduced-order flow modeling and geological parameterization for ensemble-based data assimilation
- (2012) Jincong He et al. COMPUTERS & GEOSCIENCES
- Bayesian Belief Network to support conflict analysis for groundwater protection: The case of the Apulia region
- (2012) Raffaele Giordano et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Jointly mapping hydraulic conductivity and porosity by assimilating concentration data via ensemble Kalman filter
- (2012) Liangping Li et al. JOURNAL OF HYDROLOGY
- A stochastic dimension reduction multiscale finite element method for groundwater flow problems in heterogeneous random porous media
- (2012) Xinguang He et al. JOURNAL OF HYDROLOGY
- Parameter estimation of subsurface flow models using iterative regularized ensemble Kalman filter
- (2012) A. H. ELSheikh et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Review of surrogate modeling in water resources
- (2012) Saman Razavi et al. WATER RESOURCES RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now