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Emre Artun
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Cited by
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
1102008
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
502017
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
Characterizing reservoir connectivity and forecasting waterflood performance using data-driven and reduced-physics models
E Artun
SPE Western Regional Meeting, 2016
362016
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
322019
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
322009
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
Intelligent seismic inversion workflow for high-resolution reservoir characterization
E Artun, S Mohaghegh
Computers & Geosciences 37 (2), 143-157, 2011
242011
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
222020
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
222018
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
Optimized design of cyclic pressure pulsing in naturally fractured reservoirs using neural-network based proxy models
FE Artun
The Pennsylvania State University, 2008
132008
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
112020
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
102019
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
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
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
82014
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
62022
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