ML-LBM: Predicting and Accelerating Steady State Flow Simulation in Porous Media with Convolutional Neural Networks
出版年份 2021 全文链接
标题
ML-LBM: Predicting and Accelerating Steady State Flow Simulation in Porous Media with Convolutional Neural Networks
作者
关键词
-
出版物
TRANSPORT IN POROUS MEDIA
Volume 138, Issue 1, Pages 49-75
出版商
Springer Science and Business Media LLC
发表日期
2021-04-25
DOI
10.1007/s11242-021-01590-6
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Fast direct flow simulation in porous media by coupling with pore network and Laplace models
- (2021) Ying Da Wang et al. ADVANCES IN WATER RESOURCES
- Deep learning in pore scale imaging and modeling
- (2021) Ying Da Wang et al. EARTH-SCIENCE REVIEWS
- Flow-Based Characterization of Digital Rock Images Using Deep Learning
- (2021) Naif J. Alqahtani et al. SPE JOURNAL
- Deep neural networks for improving physical accuracy of 2D and 3D multi-mineral segmentation of rock micro-CT images
- (2021) Ying Da Wang et al. APPLIED SOFT COMPUTING
- PoreFlow-Net: a 3D c`onvolutional neural network to predict fluid flow through porous media
- (2020) Javier E. Santos et al. ADVANCES IN WATER RESOURCES
- Surrogate permeability modelling of low-permeable rocks using convolutional neural networks
- (2020) Jianwei Tian et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- A consistent thermal lattice Boltzmann method for heat transfer in arbitrary combinations of solid, fluid, and porous media
- (2020) Chun-Sheng Wang et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Prediction of Porosity and Permeability Alteration Based on Machine Learning Algorithms
- (2019) Andrei Erofeev et al. TRANSPORT IN POROUS MEDIA
- Approximating Permeability of Microcomputed-Tomography Images Using Elliptic Flow Equations
- (2019) Traiwit Chung et al. SPE JOURNAL
- Computations of permeability of large rock images by dual grid domain decomposition
- (2019) Ying Da Wang et al. ADVANCES IN WATER RESOURCES
- Hybrid pore-network and lattice-Boltzmann permeability modelling accelerated by machine learning
- (2019) Arash Rabbani et al. ADVANCES IN WATER RESOURCES
- Driving digital rock towards machine learning: Predicting permeability with gradient boosting and deep neural networks
- (2019) Oleg Sudakov et al. COMPUTERS & GEOSCIENCES
- Machine learning for predicting properties of porous media from 2d X-ray images
- (2019) Naif Alqahtani et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Linking Morphology of Porous Media to Their Macroscopic Permeability by Deep Learning
- (2019) Serveh Kamrava et al. TRANSPORT IN POROUS MEDIA
- Mixed stabilized finite element method for the stationary Stokes-dual-permeability fluid flow model
- (2019) Md. Abdullah Al Mahbub et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Accelerated Computation of Relative Permeability by Coupled Morphological and Direct Multiphase Flow Simulation
- (2019) Y.D. Wang et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Efficient deep learning techniques for multiphase flow simulation in heterogeneous porousc media
- (2019) Yating Wang et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Boosting Resolution and Recovering Texture of 2D and 3D Micro‐CT Images with Deep Learning
- (2019) Ying Da Wang et al. WATER RESOURCES RESEARCH
- Predictions of permeability, surface area and average dissolution rate during reactive transport in multi-mineral rocks
- (2018) Min Liu et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder
- (2018) Xiaowei Jin et al. PHYSICS OF FLUIDS
- Numerical Simulation of Reactive Transport on Micro-CT Images
- (2016) Peyman Mostaghimi et al. Mathematical Geosciences
- A novel heterogeneous algorithm to simulate multiphase flow in porous media on multicore CPU–GPU systems
- (2014) J.E. McClure et al. COMPUTER PHYSICS COMMUNICATIONS
- Grain Shape Effects on Permeability, Formation Factor, and Capillary Pressure from Pore-Scale Modeling
- (2013) T. Torskaya et al. TRANSPORT IN POROUS MEDIA
- Pore-scale imaging and modelling
- (2012) Martin J. Blunt et al. ADVANCES IN WATER RESOURCES
- Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
- (2012) Mohammad Ali Ahmadi et al. APPLIED SOFT COMPUTING
- THE ROLE OF POROUS MEDIA IN MODELING FLUID FLOW WITHIN HOLLOW FIBER MEMBRANES OF THE TOTAL ARTIFICIAL LUNG
- (2012) Khalil M. Khanafer et al. JOURNAL OF POROUS MEDIA
- Computations of Absolute Permeability on Micro-CT Images
- (2012) Peyman Mostaghimi et al. Mathematical Geosciences
- Finite-Difference Approximation for Fluid-Flow Simulation and Calculation of Permeability in Porous Media
- (2012) Vahid Shabro et al. TRANSPORT IN POROUS MEDIA
- Computational fluid dynamics simulations of flow and concentration polarization in forward osmosis membrane systems
- (2011) M.F. Gruber et al. JOURNAL OF MEMBRANE SCIENCE
- 3D finite element model of semi-solid permeability in an equiaxed granular structure
- (2010) Z. Sun et al. COMPUTATIONAL MATERIALS SCIENCE
- A Quantitative and Qualitative Comparison of Coarse-Grid-Generation Techniques for Modeling Fluid Displacement in Heterogeneous Porous Media
- (2010) Peyman Mostaghimi et al. SPE RESERVOIR EVALUATION & ENGINEERING
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