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Emre Artun
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Year
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
1092008
Reservoir characterization using intelligent seismic inversion
E Artun, S Mohaghegh, J Toro, T Wilson, A Sanchez
SPE Eastern Regional Meeting, 2005
69*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
532017
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
452017
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
372019
Characterizing reservoir connectivity and forecasting waterflood performance using data-driven and reduced-physics models
E Artun
SPE Western Regional Meeting, 2016
372016
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
332009
Intelligent seismic inversion workflow for high-resolution reservoir characterization
E Artun, S Mohaghegh
Computers & Geosciences 37 (2), 143-157, 2011
292011
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
272020
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
252012
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
232018
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
212008
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
182011
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
152022
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
142020
Optimized design of cyclic pressure pulsing in naturally fractured reservoirs using neural-network based proxy models
FE Artun
The Pennsylvania State University, 2008
132008
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
112019
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
102011
Analytical modeling of flow regimes during cyclic CO2 injection in hydraulically fractured tight reservoirs for enhanced oil recovery
J Mugisha, S Al-Rbeawi, E Artun
Journal of Petroleum Science and Engineering 201, 108385, 2021
92021
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
92010
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