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morteza haghighat sefat
morteza haghighat sefat
Associate Professor
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Development of an adaptive surrogate model for production optimization
A Golzari, MH Sefat, S Jamshidi
Journal of Petroleum Science and Engineering 133, 677-688, 2015
1182015
Global dynamic harmony search algorithm: GDHS
M Khalili, R Kharrat, K Salahshoor, MH Sefat
Applied Mathematics and Computation 228, 195-219, 2014
752014
Reservoir uncertainty tolerant, proactive control of intelligent wells
M Haghighat Sefat, AH Elsheikh, KM Muradov, DR Davies
Computational Geosciences 20, 655-676, 2016
402016
Stabilization of gas-lift oil wells by a nonlinear model predictive control scheme based on adaptive neural network models
K Salahshoor, S Zakeri, MH Sefat
Engineering Applications of Artificial Intelligence 26 (8), 1902-1910, 2013
372013
Performance of autonomous inflow control completion in heavy oil reservoirs
EMK Eltaher, MH Sefat, K Muradov, D Davies
International Petroleum Technology Conference, IPTC-17977-MS, 2014
282014
Proactive optimization of intelligent-well production using stochastic gradient-based algorithms
MH Sefat, KM Muradov, AH Elsheikh, DR Davies
SPE Reservoir Evaluation & Engineering 19 (02), 239-252, 2016
262016
Multi-solution well placement optimization using ensemble learning of surrogate models
M Salehian, MH Sefat, K Muradov
Journal of Petroleum Science and Engineering 210, 110076, 2022
192022
Robust integrated optimization of well placement and control under field production constraints
M Salehian, MH Sefat, K Muradov
Journal of Petroleum Science and Engineering 205, 108926, 2021
182021
The Development of Techniques for the Optimization of Water-flooding Processes in Petroleum Reservoirs Using a Genetic Algorithm and Surrogate Modeling Approach
MH Sefat, K Salahshoor, M Jamialahmadi, H Vahdani
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 36 ¡¦, 2014
162014
Field Management by Proactive Optimisation of Intelligent Wells-A Practical Approach
M Haghighat Sefat, KM Muradov, D Davies
SPE Middle East Intelligent Energy Conference and Exhibition, 2013
152013
A multisolution optimization framework for well placement and control
M Salehian, MH Sefat, K Muradov
SPE Reservoir Evaluation & Engineering 24 (04), 923-939, 2021
132021
Nonlinear model identification and adaptive control of CO2 sequestration process in saline aquifers using artificial neural networks
K Salahshoor, MH Hajisalehi, MH Sefat
Applied Soft Computing 12 (11), 3379-3389, 2012
132012
Developing a well-centric flow model-The first step in a risk-based approach to oil and gas well decommissioning
C Johnson, MH Sefat, D Davies
Journal of Petroleum Science and Engineering 204, 108651, 2021
122021
A New Approach for the Development of Fast-analysis Proxies for Petroleum Reservoir Simulation
MH Sefat, K Salahshoor, M Jamialahmadi, B Moradi
Petroleum Science and Technology 30 (18), 1920-1930, 2012
122012
An artificial neural network approach to formation damage prediction due to Asphaltene deposition
A Rezaian, A Kordestany, M Haghighat Sefat
SPE Nigeria Annual International Conference and Exhibition, SPE-140683-MS, 2010
112010
Proactive optimisation of intelligent wells under uncertainty
M Haghighat Sefat
Heriot-Watt University, 2016
82016
Modeling formation damage due to flocculated asphaltene deposition
A Rezaian, MH Sefat, M Alipanah, A Kordestany, MY Khoshdaregi
Petroleum Science and Technology 30 (5), 478-488, 2012
72012
Experimental and artificial neural network approaches to predict the effect of PVA (Poly Vinyl Acetate) on the rheological properties of water and crude oil in EOR processes
A Rezaian, A Kordestany, M Haghighat Sefat
SPE Nigeria Annual International Conference and Exhibition, SPE-140680-MS, 2010
72010
Experimental and theoretical studies of flocculated asphaltene deposition from oil in porous media
A Rezaian, A Kordestany, M Jamialahmadi, J Moghadasi, ...
Trinidad and Tobago Energy Resources Conference, 2010
72010
Fast optimization of packer locations in wells with flow control completions
K Muradov, MH Sefat, MM Dowlatabad
Journal of Petroleum Science and Engineering 205, 108933, 2021
62021
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