| A parametric study on the benefits of drilling horizontal and multilateral wells in coalbed methane reservoirs N Maricic, SD Mohaghegh, E Artun SPE Reservoir Evaluation & Engineering 11 (06), 976-983, 2008 | 111 | 2008 |
| Reservoir characterization using intelligent seismic inversion E Artun, S Mohaghegh, J Toro, T Wilson, A Sanchez SPE Eastern Regional Meeting, 2005 | 70* | 2005 |
| Characterizing interwell connectivity in waterflooded reservoirs using data-driven and reduced-physics models: a comparative study E Artun Neural Computing and Applications 28 (7), 1729-1743, 2017 | 51 | 2017 |
| Development of a data-driven forecasting tool for hydraulically fractured, horizontal wells in tight-gas sands B Kulga, E Artun, T Ertekin Computers & Geosciences 103, 99-110, 2017 | 45 | 2017 |
| Characterizing reservoir connectivity and forecasting waterflood performance using data-driven and reduced-physics models E Artun SPE Western Regional Meeting, 2016 | 36 | 2016 |
| Fishbone type horizontal wellbore completion: a study for pressure behavior, flow regimes, and productivity index S Al-Rbeawi, E Artun Journal of Petroleum Science and Engineering 176, 172-202, 2019 | 32 | 2019 |
| Development of universal proxy models for screening and optimization of cyclic pressure pulsing in naturally fractured reservoirs E Artun, T Ertekin, R Watson, M Al-Wadhahi IPTC 2009: International Petroleum Technology Conference, cp-151-00190, 2009 | 32 | 2009 |
| Designing cyclic pressure pulsing in naturally fractured reservoirs using an inverse looking recurrent neural network E Artun, T Ertekin, R Watson, B Miller Computers & Geosciences 38 (1), 68-79, 2012 | 25 | 2012 |
| Intelligent seismic inversion workflow for high-resolution reservoir characterization E Artun, S Mohaghegh Computers & Geosciences 37 (2), 143-157, 2011 | 24 | 2011 |
| Selection of candidate wells for re-fracturing in tight gas sand reservoirs using fuzzy inference E Artun, B Kulga Petroleum Exploration and Development 47 (2), 413-420, 2020 | 22 | 2020 |
| Characterization of tight-gas sand reservoirs from horizontal-well performance data using an inverse neural network B Kulga, E Artun, T Ertekin Journal of Natural Gas Science and Engineering 59, 35-46, 2018 | 22 | 2018 |
| Optimized design of cyclic pressure pulsing in a depleted, naturally fractured reservoir E Artun, T Ertekin, RW Watson, BJ Miller SPE Eastern Regional/AAPG Eastern Section Joint Meeting, 2008 | 21 | 2008 |
| Performance evaluation of cyclic pressure pulsing in a depleted, naturally fractured reservoir with stripper-well production E Artun, T Ertekin, R Watson, B Miller Petroleum Science and Technology 29 (9), 953-965, 2011 | 18 | 2011 |
| Optimized design of cyclic pressure pulsing in naturally fractured reservoirs using neural-network based proxy models FE Artun The Pennsylvania State University, 2008 | 13 | 2008 |
| Performance assessment and forecasting of cyclic gas injection into a hydraulically fractured well using data analytics and machine learning E Artun Journal of Petroleum Science and Engineering 195, 107768, 2020 | 12 | 2020 |
| Improving oil-rate estimate in capacitance/resistance modeling using the Y-function method for reservoirs under waterflood C Temizel, E Artun, Z Yang SPE Reservoir Evaluation & Engineering 22 (3), 1161-1171, 2019 | 10 | 2019 |
| Performance and economic evaluation of cyclic-pressure pulsing in naturally fractured reservoirs E Artun, T Ertekin, R Watson, M Al-Wadhahi, B Miller Journal of Canadian Petroleum Technology 50 (9-10), 24-36, 2011 | 10 | 2011 |
| Development and testing of proxy models for screening cyclic pressure pulsing process in a depleted, naturally fractured reservoir E Artun, T Ertekin, R Watson, B Miller Journal of Petroleum Science and Engineering 73 (1-2), 73-85, 2010 | 9 | 2010 |
| A pattern-based approach to waterflood performance prediction using knowledge management tools and classical reservoir engineering forecasting methods E Artun, M Vanderhaeghen, P Murray SPE Western North American and Rocky Mountain Joint Meeting, 2014 | 8 | 2014 |
| Understanding the controlling factors for CO2 sequestration in depleted shale reservoirs using data analytics and machine learning HK Hassan Baabbad, E Artun, B Kulga SPE EuropEC-Europe Energy Conference (83rd EAGE Annual Conference & Exhibition), 2022 | 6 | 2022 |
Turgay ErtekinProfessor Emeritus of Petroleum and natural Gas Engineeringpsu.edu üzerinde doğrulanmış e-posta adresine sahip
