| Seismic fault detection with convolutional neural network W Xiong, X Ji, Y Ma, Y Wang, NM AlBinHassan, MN Ali, Y Luo Geophysics 83 (5), O97-O103, 2018 | 303 | 2018 |
| 3D edge-preserving smoothing and applications NM AlBinHassan, Y Luo, MN Al-Faraj Geophysics 71 (4), P5-P11, 2006 | 120 | 2006 |
| Fault detection using Hough transforms NM AlBinHassan, K Marfurt SEG International Exposition and Annual Meeting, SEG-2003-1719, 2003 | 66 | 2003 |
| Computation of dips and azimuths with weighted structural tensor approach Y Luo, YE Wang, NM AlBinHassan, MN Alfaraj Geophysics 71 (5), V119-V121, 2006 | 43 | 2006 |
| Porosity prediction using the group method of data handling NM AlBinHassan, Y Wang Geophysics 76 (5), O15-O22, 2011 | 38 | 2011 |
| Fault detection using Hough transforms: 73rd Annual International Meeting, SEG, Expanded Abstracts, 1719–1721 NM AlBinHassan, K Marfurt Abstract, 2003 | 13 | 2003 |
| Robust deep learning-based seismic inversion workflow using temporal convolutional networks R Smith, P Nivlet, H Alfayez, N AlBinHassan Interpretation 10 (2), SC41-SC55, 2022 | 12 | 2022 |
| Automated well-to-seismic tie using deep neural networks P Nivlet, R Smith, N AlBinHassan SEG Technical Program Expanded Abstracts 2020, 2156-2160, 2020 | 12 | 2020 |
| Reservoir properties prediction with least square support vector machine S Al-Dossary, J Wang, NM AlBinHassan, H Mustafa US Patent 9,128,203, 2015 | 12 | 2015 |
| Seismic fault detection with convolutional neural network: Geophysics, 83 W Xiong, X Ji, Y Ma, Y Wang, NM AlBinHassan, MN Ali, Y Luo O97–O103, 2018 | 10 | 2018 |
| 3D edge-preserving smoothing and applications: Geophysics, 71 NM AlBinHassan, Y Luo, MN Al-Faraj P5–P11, 2006 | 8 | 2006 |
| Seismic attributes and advanced computer algorithm method to predict formation pore pressure: Paleozoic sediments of northwest saudi arabia A Nour, N AlBinHassan IPTC 2013: International Petroleum Technology Conference, cp-350-00190, 2013 | 6 | 2013 |
| Predicting sonic and density logs from drilling parameters using temporal convolutional networks R Smith, A Bakulin, P Golikov, N AlBinHassan The Leading Edge 41 (9), 617-627, 2022 | 5 | 2022 |
| Robust seismic inversion workflow using temporal convolutional networks: A case study on noisy field data R Smith, P Nivlet, H AlFayez, N AlBinHassan 82nd EAGE Annual Conference & Exhibition 2021 (1), 1-5, 2021 | 2 | 2021 |
| Carbonate Seismic Geopressure Prediction Using Neural Networks NM AlBinHassan, YH Wang 72nd EAGE Conference and Exhibition incorporating SPE EUROPEC 2010, cp-161-00204, 2010 | 2 | 2010 |
| Reservoir properties prediction in carbonate reservoirs NM AlBinHassan Imperial College London, 2010 | 2 | 2010 |
| Systems and methods for seismic well tie domain conversion and neural network modeling PGC Nivlet, RJ Smith, NM AlBinHassan US Patent App. 17/498,276, 2022 | 1 | 2022 |
| Geopressure Prediction in Carbonate Reservoirs Using Self-organized Mapping Method NM AlBinHassan, YH Wang 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009, cp-127-00057, 2009 | 1 | 2009 |
| System and method for automated domain conversion for seismic well ties PGC Nivlet, RJ Smith, NM AlBinHassan US Patent 11,874,419, 2024 | | 2024 |
| Determination of mechanical properties of a geological formation using deep learning applied to data acquired while drilling R Smith, R Kanfar, A Bakulin, NM AlBinHassan, P Nivlet US Patent 11,796,714, 2023 | | 2023 |
