| A Comprehensive review of data-driven approaches for forecasting production from unconventional reservoirs: best practices and future directions H Rahmanifard, I Gates Artificial Intelligence Review 57 (8), 213, 2024 | | 2024 |
| Innovative integrated workflow for data-driven production forecasting and well completion optimization: A Montney Formation case study H Rahmanifard, ID Gates Geoenergy Science and Engineering 238, 212899, 2024 | | 2024 |
| Application of Data Analytic Techniques and Monte-Carlo Simulation for Forecasting and Optimizing Oil Production from Tight Reservoirs H Rahmanifard, I Gates Natural Resources Research, 1-17, 2024 | | 2024 |
| Production Forecasting in Unconventional Reservoirs: A Workflow for Data-Driven Analysis H Rahmanifard | | 2024 |
| Comparison of machine learning and statistical predictive models for production time series forecasting in tight oil reservoirs H Rahmanifard, I Gates, AS Asl Unconventional Resources Technology Conference, 20–22 June 2022, 3108-3123, 2022 | 5 | 2022 |
| A hybrid deep learning network for tight and shale reservoir characterization using pressure and rate transient data H Alimohammadi, H Rahmanifard, SN Chen AAPG Bulletin 106 (11), 2315-2336, 2022 | 3 | 2022 |
| The application of supervised machine learning techniques for multivariate modelling of gas component viscosity: A comparative study H Rahmanifard, P Maroufi, H Alimohamadi, T Plaksina, I Gates Fuel 285, 119146, 2021 | 18 | 2021 |
| Wavelet Modelling Approach for Reservoir Model Classification H Alimohammadi, S Chen, H Karimi, H Rahmanifard SPE Europec featured at EAGE Conference and Exhibition?, D011S005R004, 2020 | 1 | 2020 |
| Multivariate time series modelling approach for production forecasting in unconventional resources H Alimohammadi, H Rahmanifard, N Chen SPE Annual Technical Conference and Exhibition?, D022S061R030, 2020 | 26 | 2020 |
| Well performance prediction in Montney formation using machine learning approaches H Rahmanifard, H Alimohamadi, I Gates SPE/AAPG/SEG Unconventional Resources Technology Conference, D023S042R002, 2020 | 18 | 2020 |
| Future Options for Alberta’s Bitumen Resources H Rahmanifard, T Bararpour Future Times, 2020 | 4 | 2020 |
| Hybrid compressed air energy storage, wind and geothermal energy systems in Alberta: Feasibility simulation and economic assessment H Rahmanifard, T Plaksina Renewable Energy 143, 453-470, 2019 | 42 | 2019 |
| Application of artificial intelligence techniques in the petroleum industry: a review H Rahmanifard, T Plaksina Artificial Intelligence Review 52 (4), 2295-2318, 2019 | 176 | 2019 |
| On improving the hydrogen and methanol production using an auto-thermal double-membrane reactor: Model prediction and optimisation H Rahmanifard, R Vakili, T Plaksina, MR Rahimpour, M Babaei, X Fan Computers & Chemical Engineering 119, 258-269, 2018 | 14 | 2018 |
| Techno-Economic Assessment of CAES Technologies in Enhanced Geothermal Systems (EGS) in Alberta H Rahmanifard, T Plaksina Calgary: University of Calgary-Unpublished Master's Thesis. Retrieved from …, 2018 | 1 | 2018 |
| Application of fast analytical approach and AI optimization techniques to hydraulic fracture stage placement in shale gas reservoirs H Rahmanifard, T Plaksina Journal of Natural Gas Science and Engineering 52, 367-378, 2018 | 39 | 2018 |
| A Technical and Economic Assessment of Direct Air Capture with Zeolite 13X and Sequestration Systems H Rahmanifard, T Plaksina Geoconvention Calgary, Canada, 2017 | 2 | 2017 |
| The effect of surfactant on performance of polymer systems used during enhanced oil recovery operations F Moradi, H Rahmanifard, M Schaffie Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 36 …, 2014 | 4 | 2014 |
| Field Scale Analysis of Carbon dioxide, Nitrogen, and Lean gas Injection Scenarios in Pazanan Gas Condensate Reservoir H Rahmanifard, AR Rasouli, H Amirzadeh, AH Amouri | | 2014 |
| Field scale and economical analysis of carbon dioxide, nitrogen, and lean gas injection scenarios in Pazanan gas condensate reservoir H Rahmanifard, A Helalizadeh, M Ebrahimi, AM Shabibasl, N Mayahi International Journal of Petroleum Engineering 1 (1), 62-91, 2014 | 5 | 2014 |
