By Professor Ryan T. Armstrong

Preprints

Alzubaidi F; McClure JE; Pedersen H; Hansen A; Berg CF; Mostaghimi P; Armstrong RT, 2023, The impact of wettability on the co-moving velocity of two-fluid flow in porous media, http://arxiv.org/abs/2309.00362v1

Tang K; Bo Z; Li Z; Wang YD; McClure J; Su H; Mostaghimi P; Armstrong R, 2023, Controlled Ion Transport in the Subsurface: A Coupled Advection-Diffusion-Electromigration System, http://arxiv.org/abs/2308.04668v1

Tang K; Li Z; Wang YD; McClure J; Su H; Mostaghimi P; Armstrong R, 2023, A pore-scale model for electrokinetic in situ recovery of copper: the Influence of mineral occurrence, zeta potential, and electric potential, http://arxiv.org/abs/2303.17150v1

Rabbani A; Sun C; Babaei M; Niasar VJ; Armstrong RT; Mostaghimi P, 2022, DeepAngle: Fast calculation of contact angles in tomography images using deep learning, http://dx.doi.org/10.48550/arxiv.2211.15243

Spurin C; Berg S; Armstrong R; McClure J, 2022, Dynamic Mode Decomposition for Analyzing Dynamics in Multi-phase Flow in Porous Media, http://dx.doi.org/10.31223/x5065c

Alzubaidi F; Mostaghimi P; Niu Y; Armstrong RT; Mohammadi G; Berg S; McClure JE, 2022, Effective permeability of an immiscible fluid in porous media determined from its geometric state, http://arxiv.org/abs/2208.08027v2

McClure JE; Fan M; Berg S; Armstrong RT; Berg CF; Li Z; Ramstad T, 2022, Relative permeability as a stationary process: energy fluctuations in immiscible displacement, http://dx.doi.org/10.1063/5.0107149

Niu Y; Jackson SJ; Alqahtani N; Mostaghimi P; Armstrong RT, 2021, A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution, http://dx.doi.org/10.48550/arxiv.2112.08644

Jackson SJ; Niu Y; Manoorkar S; Mostaghimi P; Armstrong RT, 2021, Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modelling, http://dx.doi.org/10.48550/arxiv.2111.01270

Higgs S; Da Wang Y; Sun C; Ennis-King J; Jackson S; Armstrong R; Mostaghimi P, 2021, In-situ hydrogen wettability characterisation for Underground Hydrogen Storage, http://dx.doi.org/10.31223/x54045

Sun C; McClure J; Berg S; Mostaghimi P; Armstrong RT, 2021, Universal description of wetting on multiscale surfaces using integral geometry, http://dx.doi.org/10.48550/arxiv.2108.09445

McClure JE; Berg S; Armstrong RT, 2020, Capillary fluctuations and energy dynamics for flow in porous media, http://dx.doi.org/10.48550/arxiv.2012.09206

McClure JE; Berg S; Armstrong RT, 2020, Thermodynamics of fluctuations based on time-and-space averages, http://dx.doi.org/10.48550/arxiv.2012.09139

Sun C; McClure JE; Mostaghimi P; Herring AL; Meisenheimer DE; Wildenschild D; Berg S; Armstrong RT, 2020, Characterization of wetting using topological principles, http://dx.doi.org/10.48550/arxiv.2005.02873

Da Wang Y; Chung T; Armstrong RT; Mostaghimi P, 2020, ML-LBM: Machine Learning Aided Flow Simulation in Porous Media, http://dx.doi.org/10.48550/arxiv.2004.11675

Da Wang Y; Shabaninejad M; Armstrong RT; Mostaghimi P, 2020, Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images, http://dx.doi.org/10.48550/arxiv.2002.05322

Sun C; McClure JE; Mostaghimi P; Herring AL; Shabaninejad M; Berg S; Armstrong RT, 2019, Linking continuum-scale state of wetting to pore-scale contact angles in porous media, http://dx.doi.org/10.48550/arxiv.1910.00484

Da Wang Y; Armstrong RT; Mostaghimi P, 2019, Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning, http://dx.doi.org/10.48550/arxiv.1907.07131

McClure JE; Berg S; Armstrong RT, 2019, Geometric evolution as a source of discontinuous behavior in soft condensed matter, http://dx.doi.org/10.48550/arxiv.1906.04073

Da Wang Y; Armstrong R; Mostaghimi P, 2019, Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images, http://dx.doi.org/10.48550/arxiv.1904.07470

McClure JE; Armstrong RT; Berrill MA; Schlüter S; Berg S; Gray WG; Miller CT, 2018, A geometric state function for two-fluid flow in porous media, http://dx.doi.org/10.48550/arxiv.1805.11032

Higgs S; Da Wang Y; Ennis-King J; Jackson S; Sun C; Armstrong R; Mostaghimi P, Direct Measurement of Hydrogen Relative Permeability Hysteresis for Underground Hydrogen Storage, http://dx.doi.org/10.2139/ssrn.4310400

Herring AL; Sun C; Armstrong R; Saadatfar M, Insights into Wettability Alteration During Cyclic Scco2-Brine Injections in a Layered Bentheimer Sandstone, http://dx.doi.org/10.2139/ssrn.4166103

Lanetc Z; Zhuravljov A; Tang K; Armstrong R; Mostaghimi P, Multi-Scale Modelling of Multi-Physics Flow in Coal Seams, http://dx.doi.org/10.2139/ssrn.4253551

Baatar L; Mostaghimi P; Yuan M; Armstrong R; Adler L; Canbulat I; Si G; Gaidarov B; Jing Y, Multiscale Gas Diffusion Measurements for Coal Characterization Using Bulk Counterdiffusion and Local 3d Imaging Methods, http://dx.doi.org/10.2139/ssrn.4105728

Tang K; Armstrong R; Mostaghimi P; Niu Y; Meyer Q; Zhao C; Finegan D; Popeil M; Singh K; Menke H; Dimou AP; Bultreys T; Mascini A; Knackstedt M; Da Wang Y, Scaling Deep Learning for Material Imaging: A Pseudo-3d Model for Tera-Scale 3d Domain Transfer, http://dx.doi.org/10.2139/ssrn.4808378

Back to profile page