相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A deep learning approach to predicting permeability of porous media
Abdulmajeed Almutairi et al.
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING (2022)
An Extended-FEM Model for CO2 Leakage Through a Naturally Fractured Cap-Rock During Carbon Dioxide Sequestration
A. R. Khoei et al.
TRANSPORT IN POROUS MEDIA (2022)
A comparison of deep learning methods for seismic impedance inversion
Si-Bo Zhang et al.
PETROLEUM SCIENCE (2022)
A novel complex network-based deep learning method for characterizing gas-liquid two-phase flow
Zhong-Ke Gao et al.
PETROLEUM SCIENCE (2021)
Deep learning for reduced order modelling and efficient temporal evolution of fluid simulations
Pranshu Pant et al.
PHYSICS OF FLUIDS (2021)
A convolutional strategy on unstructured mesh for the adjoint vector modeling
Mengfei Xu et al.
PHYSICS OF FLUIDS (2021)
Fast Prediction of Immiscible Two-Phase Displacements in Heterogeneous Porous Media with Convolutional Neural Network
Wei Feng et al.
ADVANCES IN APPLIED MATHEMATICS AND MECHANICS (2021)
PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media
Javier E. Santos et al.
ADVANCES IN WATER RESOURCES (2020)
Efficient deep learning techniques for multiphase flow simulation in heterogeneous porousc media
Yating Wang et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2020)
CO2 flooding enhanced oil recovery evaluated using magnetic resonance imaging technique
Yuechao Zhao et al.
ENERGY (2020)
Study of non-isothermal liquid evaporation in synthetic micro-pore structures with hybrid lattice Boltzmann model
Feifei Qin et al.
JOURNAL OF FLUID MECHANICS (2019)
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
Yinhao Zhu et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2019)
Deep Convolutional Encoder-Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media
Shaoxing Mo et al.
WATER RESOURCES RESEARCH (2019)
Effects of nanoscale pore structure on permeability and relative permeability loss analyzed by GPU enhanced Multiple-Relaxation-Time LBM
Bin Ma et al.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER (2018)
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
Yinhao Zhu et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2018)
Entry pressure for the rough capillary: Semi-analytical model, Lattice Boltzmann simulation
Bei Wei et al.
JOURNAL OF HYDROLOGY (2018)
Review of Steady-State Two-Phase Flow in Porous Media: Independent Variables, Universal Energy Efficiency Map, Critical Flow Conditions, Effective Characterization of Flow and Pore Network
Marios S. Valavanides
TRANSPORT IN POROUS MEDIA (2018)
The Effect of Wettability Heterogeneity on Relative Permeability of Two-Phase Flow in Porous Media: A Lattice Boltzmann Study
Jianlin Zhao et al.
WATER RESOURCES RESEARCH (2018)
Seeing permeability from images: fast prediction with convolutional neural networks
Jinlong Wu et al.
SCIENCE BULLETIN (2018)
Prediction of immiscible two-phase flow properties in a two-dimensional Berea sandstone using the pore-scale lattice Boltzmann simulation
Meng Xu et al.
EUROPEAN PHYSICAL JOURNAL E (2018)
Effects of microscopic pore structure heterogeneity on the distribution and morphology of remaining oil
Li Junjian et al.
PETROLEUM EXPLORATION AND DEVELOPMENT (2018)
Generalized three-dimensional lattice Boltzmann color-gradient method for immiscible two-phase pore-scale imbibition and drainage in porous media
Sebastien Leclaire et al.
PHYSICAL REVIEW E (2017)
Lattice Boltzmann simulation of immiscible fluid displacement in porous media: Homogeneous versus heterogeneous pore network
Haihu Liu et al.
PHYSICS OF FLUIDS (2015)
Implementation of Multi-GPU Based Lattice Boltzmann Method for Flow Through Porous Media
Changsheng Huang et al.
ADVANCES IN APPLIED MATHEMATICS AND MECHANICS (2015)
Pore-scale simulation of liquid CO2 displacement of water using a two-phase lattice Boltzmann model
Haihu Liu et al.
ADVANCES IN WATER RESOURCES (2014)
Study of immiscible displacements in porous media using a color-gradient-based multiphase lattice Boltzmann method
Haibo Huang et al.
COMPUTERS & FLUIDS (2014)
Evaluation of three lattice Boltzmann models for multiphase flows in porous media
Haibo Huang et al.
COMPUTERS & MATHEMATICS WITH APPLICATIONS (2011)
Static contact angle in lattice Boltzmann models of immiscible fluids
M Latva-Kokko et al.
PHYSICAL REVIEW E (2005)
Diffusion properties of gradient-based lattice Boltzmann models of immiscible fluids
M Latva-Kokko et al.
PHYSICAL REVIEW E (2005)
Theory of the lattice Boltzmann method: Dispersion, dissipation, isotropy, Galilean invariance, and stability
P Lallemand et al.
PHYSICAL REVIEW E (2000)