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 | 125 | 2015 |
Global dynamic harmony search algorithm: GDHS M Khalili, R Kharrat, K Salahshoor, MH Sefat Applied Mathematics and Computation 228, 195-219, 2014 | 81 | 2014 |
Reservoir uncertainty tolerant, proactive control of intelligent wells M Haghighat Sefat, AH Elsheikh, KM Muradov, DR Davies Computational Geosciences 20, 655-676, 2016 | 42 | 2016 |
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 | 39 | 2013 |
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 | 29 | 2014 |
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 | 28 | 2022 |
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 | 28 | 2016 |
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 | 20 | 2021 |
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 | 17 | 2021 |
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 | 17 | 2014 |
A multisolution optimization framework for well placement and control M Salehian, MH Sefat, K Muradov SPE Reservoir Evaluation & Engineering 24 (04), 923-939, 2021 | 16 | 2021 |
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 | 16 | 2013 |
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 | 14 | 2012 |
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 | 12 | 2012 |
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 | 12 | 2010 |
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 | 9 | 2021 |
Proactive optimisation of intelligent wells under uncertainty M Haghighat Sefat Heriot-Watt University, 2016 | 8 | 2016 |
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 | 8 | 2010 |
A robust, multi-solution framework for well placement and control optimization M Salehian, MH Sefat, K Muradov Computational Geosciences 26 (4), 897-914, 2022 | 7 | 2022 |
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 | 7 | 2012 |