By Professor Peyman Mostaghimi

Conference Papers

Cai L; Ferrier R; Lin Q; Mostaghimi P; Gorman G; Neethling S, 2012, 'Heap leaching simulation: beyond shrinkage core models', in Tenth Interneational Conference on Comuptational Fluid Dynamics in Oil and Gas, Metallurgical and Process Industries, SINTEF, SINTEF

Mostaghimi P; Tollit B; Gorman G; Neethling S; Pain C, 2012, 'Multiphase flow through porous media: an adaptive control volume finite element formulation', in AGU Fall Meeting, AGU, AGU

Bijeljic B; Raeini A; Mostaghimi P; Blunt MJ, 2012, 'What Determines Different Anomalous Transport Behavior in Different Porous Media?', in AGU Fall Meeting, AGU, AGU

Bijeljic B; Mostaghimi P; Blunt MJ, 2011, 'Nature of Non-Fickian Solute Transport in Complex Heterogeneous Porous Media-Carbonates?', in AGU Fall Meeting, AGU, AGU

Mostaghimi P; Bijeljic B; Blunt MJ, 2010, 'Simulation of flow and dispersion on pore-space images', in Proceedings SPE Annual Technical Conference and Exhibition, pp. 4430 - 4448, http://dx.doi.org/10.2118/135261-ms

Mostaghimi P, 2010, 'Direct simulation of transport on micro-CT images', in Gordon Research Conference on Flow and Transport in Permeable, GRC, GRC

Mostaghimi P; Bijeljic B; Blunt MJ, 2010, 'Simulation of flow and dispersion on pore-space images', in Annual Technical Conference and Exhibition, SPE, SPE

Preprints

Uthaia Kumaran A; Da Wang Y; Tang K; Mostaghimi P; Jing Y, 2026, Positron Emission Tomography Guided Advection-Diffusion-Swelling Modelling to Determine Effective Coal Matrix Diffusion Coefficient, http://dx.doi.org/10.2139/ssrn.7024483

Ebadi M; Mostaghimi P; Armstrong R, 2025, Linking Scales in Multiphase Flow: A Framework Incorporating Data-Driven Methods for Predicting Relative Permeability, http://dx.doi.org/10.22541/au.173921708.85012858/v1

Ebadi M; Meisenheimer D; Wildenschild D; McClure J; Mostaghimi P; Armstrong R, 2024, Topological evolution: an unexplored aspect of hysteresis for multiphase flow in porous media, http://dx.doi.org/10.22541/au.173169343.37921907/v1

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://dx.doi.org/10.48550/arxiv.2309.00362

Tang K; Bo Z; Li Z; Da Wang Y; McClure J; Su H; Mostaghimi P; Armstrong R, 2023, Controlled Ion Transport in the Subsurface: A Coupled Advection-Diffusion-Electromigration System, http://dx.doi.org/10.48550/arxiv.2308.04668

Alzubaidi F; Mostaghimi P; Niu Y; Armstrong RT; Mohammadi G; Berg S; McClure JE, 2023, Effective permeability of an immiscible fluid in porous media determined from its geometric state, http://dx.doi.org/10.48550/arxiv.2208.08027

Tang K; Li Z; Da Wang Y; 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://dx.doi.org/10.48550/arxiv.2303.17150

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

Jackson SJ; Niu Y; Manoorkar S; Mostaghimi P; Armstrong RT, 2022, 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; Ennis-King J; Jackson S; Sun C; Armstrong R; Mostaghimi P, 2022, Direct Measurement of Hydrogen Relative Permeability Hysteresis for Underground Hydrogen Storage, http://dx.doi.org/10.2139/ssrn.4310400

Lanetc Z; Zhuravljov A; Tang K; Armstrong R; Mostaghimi P, 2022, Multi-scale modelling of multi-physics flow in coal seams, http://dx.doi.org/10.2139/ssrn.4298771

Baatar L; Mostaghimi P; Yuan M; Armstrong R; Adler L; Canbulat I; Si G; Gaidarov B; Jing Y, 2022, Multiscale Gas Diffusion Measurements for Coal Characterization Using Bulk Counterdiffusion and Local 3d Imaging Methods, http://dx.doi.org/10.2139/ssrn.4105728

Lanetc Z; Zhuravljov A; Tang K; Armstrong R; Mostaghimi P, 2022, Multi-Scale Modelling of Multi-Physics Flow in Coal Seams, http://dx.doi.org/10.2139/ssrn.4253551

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

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

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

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

Wang YD; Armstrong R; Mostaghimi P, 2019, Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images, https://doi.org/10.1016/j.petrol.2019.106261

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

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

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