| Weak form theory-guided neural network (TgNN-wf) for deep learning of subsurface single-and two-phase flow R Xu, D Zhang, M Rong, N Wang Journal of Computational Physics 436, 110318, 2021 | 60 | 2021 |
| Effect of pore geometry on nitrogen sorption isotherms interpretation: A pore network modeling study R Xu, M Prodanović Fuel 225, 243-255, 2018 | 44 | 2018 |
| Study of subcritical and supercritical gas adsorption behavior in different nanopore systems in shale using lattice Boltzmann method R Xu, M Prodanović, CJ Landry International Journal of Coal Geology 212, 103263, 2019 | 36 | 2019 |
| A comparative study of three supervised machine-learning algorithms for classifying carbonate vuggy facies in the Kansas Arbuckle Formation T Deng, C Xu, D Jobe, R Xu Petrophysics 60 (06), 838-853, 2019 | 25 | 2019 |
| Deep-learning-based vuggy facies identification from borehole images J Jiang, R Xu, SC James, C Xu SPE Reservoir Evaluation & Engineering 24 (01), 250-261, 2021 | 23 | 2021 |
| Pore scale study of water adsorption and subsequent methane transport in clay in the presence of wettability heterogeneity R Xu, M Prodanović, C Landry Water Resources Research 56 (10), e2020WR027568, 2020 | 20 | 2020 |
| Pore scale study of gas sorption hysteresis in shale nanopores using lattice Boltzmann method R Xu, M Prodanović, C Landry International Journal of Coal Geology 229, 103568, 2020 | 16 | 2020 |
| Integration of NMR and conventional logs for vuggy facies classification in the Arbuckle Formation: A machine learning approach R Xu, T Deng, J Jiang, D Jobe, C Xu SPE Reservoir Evaluation & Engineering 23 (03), 917-929, 2020 | 16 | 2020 |
| Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network R Xu, D Zhang, N Wang Journal of Hydrology 613, 128321, 2022 | 14 | 2022 |
| Solution of diffusivity equations with local sources/sinks and surrogate modeling using weak form theory-guided neural network R Xu, N Wang, D Zhang Advances in water resources 153, 103941, 2021 | 14 | 2021 |
| Simulation of gas adsorption and capillary condensation in shale nanopores using lattice Boltzmann modeling R Xu, M Prodanovic, CJ Landry SPE/AAPG/SEG Unconventional Resources Technology Conference, D023S032R005, 2018 | 8 | 2018 |
| Flow capacity characterization of unconventional natural gas bearing rocks using digital rock physics: A comparison between advection and diffusion R Xu Journal of Petroleum Science and Engineering 215, 110624, 2022 | 6 | 2022 |
| Combination of lattice density functional theory and a multi-scale network model for sorption isotherms study in tight formations R Xu, A Mehmani, A Qajar, M Prodanovic, H Daigle, S Nguyen SPE/AAPG/SEG Unconventional Resources Technology Conference, URTEC-2460508-MS, 2016 | 6 | 2016 |
| Physics-Guided V-Net: An Efficient Surrogate Model for Well Placement Optimization in Petroleum Reservoirs R Xu SPE J. 29 (1), 21-34, 2024 | 4 | 2024 |
| Pore scale study of gas sorption and transport in shale nanopore systems R Xu The University of Texas at Austin, 2019 | 2 | 2019 |
| Pore Scale Study of Methane Advection and Diffusion in Image-Based 3-D Reconstructions of Shale with Consideration of Bound Water R Xu, Y Yin, C Landry, M Prodanović Unconventional Resources Technology Conference, 20–22 July 2020, 2983-2991, 2020 | 1 | 2020 |
| Forward prediction and surrogate modeling for subsurface hydrology: A review of theory-guided machine-learning approaches R Xu, D Zhang Computers & Geosciences, 105611, 2024 | | 2024 |
| Visualization of Water Adsorption in Clay with Complex Surface Wettability R Xu, M Prodanovic Album of Porous Media: Structure and Dynamics, 133-133, 2023 | | 2023 |
| Lattice Boltzmann Modeling of Gas Adsorption and Desorption in Shale Matrix R Xu, M Prodanovic, CJ Landry, JE McClure AGU Fall Meeting Abstracts 2018, H42E-06, 2018 | | 2018 |
| Multiscale Pore Throat Network Reconstruction of Tight Porous Media Constrained by Mercury Intrusion Capillary Pressure and Nuclear Magnetic Resonance Measurements R Xu, M Prodanovic AGU Fall Meeting Abstracts 2017, MR11A-0298, 2017 | | 2017 |
Masa ProdanovicProfessor, The University of Texas at AustinVerified email at utexas.edu