| Predicting natural gas production using artificial neural network SM Al-Fattah, RA Startzman SPE hydrocarbon economics and evaluation symposium, SPE-68593-MS, 2001 | 97 | 2001 |
| Forecasting World Natural Gas Supply SM Al- Fattah, RA Startzman Journal of Petroleum Technology 52 (5), 62-72, 2000 | 65 | 2000 |
| Artificial Intelligence Technology Predicts Relative Permeability of Giant Carbonate Reservoirs SM Al-Fattah SPE Offshore Europe, Aberdeen, UK, 2007 | 56 | 2007 |
| Carbon capture and storage: Technologies, policies, economics, and implementation strategies SM Al-Fattah, MF Barghouty, BO Dabbousi CRC press, 2011 | 45 | 2011 |
| Artificial neural network models for determining relative permeability of hydrocarbon reservoirs SMA Al-Fattah US Patent 8,510,242, 2013 | 43 | 2013 |
| Neural Network Approach Predicts U.S. Natural Gas Production SM Al-Fattah, RA Startzman SPE Production and Facilities 18 (2), 48-91, 2003 | 42 | 2003 |
| Analysis of worldwide natural gas production SM Al-Fattah, RA Startzman SPE Eastern Regional Meeting, SPE-57463-MS, 1999 | 33 | 1999 |
| Non-OPEC conventional oil: Production decline, supply outlook and key implications SM Al-Fattah Journal of Petroleum Science and Engineering 189, 107049, 2020 | 32 | 2020 |
| Time Series Modeling for U.S. Natural Gas Forecasting SM Al-Fattah E-Journal of Petroleum Management and Economics, 17, 2006 | 30 | 2006 |
| Evaluation of Empirical Correlations for Bubblepoint Oil Formation Volume Factor SM Al-Fattah, MA Al-Marhoun Saudi Aramco Journal of Technology, 1995 | 27 | 1995 |
| National Oil Companies: Business Models, Challenges, and Emerging Trends S Al-Fattah Corporate Ownership and Control 11 (1), 727-735, 2013 | 26 | 2013 |
| Application of the artificial intelligence GANNATS model in forecasting crude oil demand for Saudi Arabia and China SM Al-Fattah, S Aramco Journal of Petroleum Science and Engineering 200, 108368, 2021 | 24 | 2021 |
| An Introduction to Oil Market Volatility Analysis W Matar, S Al-Fattah, T Atallah, A Pierru USAEE Working Paper No. 12-152, 2012 | 23 | 2012 |
| Artificial Intelligence Approach for Modeling and Forecasting Oil-Price Volatility SM Al-Fattah SPE Reservoir Evaluation & Engineering 22 (3), 817-826, 2019 | 22 | 2019 |
| The role of national and international oil companies in the petroleum industry S Al-Fattah USAEE Working Paper, 2013 | 19 | 2013 |
| Empirical equations for water/oil relative permeability in Saudi sandstone reservoirs SM Al-Fattah SPE Nigeria Annual International Conference and Exhibition, SPE-85652-MS, 2003 | 18 | 2003 |
| Oil Price Drivers and Movements: The Challenge for Future Research A Huntington, H., Al-Fattah, Saud M., Huang, Z., Gucwa, M., and Nouri Alternative Investment Analyst Review 2 (4), 11-28, 2014 | 17* | 2014 |
| Oil markets and price movements: A survey of models H Huntington, S Al-Fattah, Z Huang, M Gucwa, A Nouri USAEE Working Paper, 2013 | 12 | 2013 |
| A new artificial intelligence GANNATS model predicts gasoline demand of Saudi Arabia SM Al-Fattah Journal of Petroleum Science and Engineering 194, 107528, 2020 | 11 | 2020 |
| Artificial Intelligence & Data Mining Applications in the E & P Industry SD Mohaghegh, SM Al-Fattah, AS Popa Society of Petroleum Engineers, 2010 | 10 | 2010 |
Hillard G HuntingtonStanford EMFVerified email at stanford.edu
