| Machine learning for predicting properties of porous media from 2d X-ray images N Alqahtani, F Alzubaidi, RT Armstrong, P Swietojanski, P Mostaghimi Journal of Petroleum Science and Engineering 184, 106514, 2020 | 153 | 2020 |
| Deep learning convolutional neural networks to predict porous media properties N Alqahtani, RT Armstrong, P Mostaghimi SPE Asia Pacific oil and gas conference and exhibition, D012S032R010, 2018 | 92 | 2018 |
| Flow-based characterization of digital rock images using deep learning NJ Alqahtani, T Chung, YD Wang, RT Armstrong, P Swietojanski, ... SPE Journal 26 (04), 1800-1811, 2021 | 52 | 2021 |
| Super-resolved segmentation of X-ray images of carbonate rocks using deep learning NJ Alqahtani, Y Niu, YD Wang, T Chung, Z Lanetc, A Zhuravljov, ... Transport in Porous Media 143 (2), 497-525, 2022 | 37 | 2022 |
| Oil mobilization and solubilization in porous media by in situ emulsification YA Alzahid, P Mostaghimi, NJ Alqahtani, C Sun, X Lu, RT Armstrong Journal of Colloid and Interface Science 554, 554-564, 2019 | 34 | 2019 |
| Segmentation of x-ray images of rocks using deep learning I Ar Rushood, N Alqahtani, YD Wang, M Shabaninejad, R Armstrong, ... SPE Annual Technical Conference and Exhibition?, D041S042R002, 2020 | 22 | 2020 |
| Paired and unpaired deep learning methods for physically accurate super-resolution carbonate rock images Y Niu, SJ Jackson, N Alqahtani, P Mostaghimi, RT Armstrong Transport in Porous Media 144 (3), 825-847, 2022 | 16 | 2022 |
| A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution Y Niu, SJ Jackson, N Alqahtani, P Mostaghimi, RT Armstrong arXiv preprint arXiv:2112.08644, 2021 | 5 | 2021 |
| A multi-resolution complex carbonates micro-CT dataset (MRCCM) N Alqahtani, P Mostaghimi, R Armstrong Retrieved March 13, 2021, from, 2021 | 5 | 2021 |
| SPE Asia Pacific Oil and Gas Conference and Exhibition N Alqahtani, RT Armstrong, P Mostaghimi Kuala Lumpur: Society of Petroleum Engineers, 2019 | 4 | 2019 |
| Predictive soft computing methods for building digital rock models verified by Positron Emission Tomography experiments M Ebadi, RT Armstrong, P Mostaghimi, YD Wang, N Alqahtani, T Amirian, ... Water Resources Research 58 (11), e2021WR031814, 2022 | 3 | 2022 |
| Segmentation of X-Ray Images of Rocks Using Supervoxels Over-Segmentation H Alqahtani, N Alqahtani, RT Armstrong, P Mostaghimi International Petroleum Technology Conference, D031S095R001, 2022 | 1 | 2022 |
| A consortium blockchain for smart contracts in oil and gas projects MK Almedallah, NJ Alqahtani, SDC Walsh International Petroleum Technology Conference, D012S115R004, 2022 | 1 | 2022 |
| Integrating Deep Learning into Digital Rock Analysis Workflow N Alqahtani UNSW Sydney, 2021 | 1 | 2021 |
| Influence of Acid Type on Wormhole Generation and Carbonate Rock Properties A Alomair, T Almubarak, N Alqahtani, S Caliskan International Petroleum Technology Conference, D021S074R005, 2024 | | 2024 |
| A Multi-Resolution Complex Carbonates Micro-CT Dataset (MRCCM) PM Naif J. Alqahtani, Ryan T. Armstorng https://doi.org/10.17612/3t36-q704, 2021 | | 2021 |
| Multi-resolution X-ray imaging techniques for bulk operational applications: A short review and a proposed streamlined workflow NJ Alqahtani, S Caliskan, TA Almubarak, SM Alenizi | | |
Ryan T. ArmstrongProfessor, University of New South WalesVerified email at unsw.edu.au
