| Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir MA Ahmadi, M Ebadi, A Shokrollahi, SMJ Majidi Applied Soft Computing 13 (2), 1085-1098, 2013 | 328 | 2013 |
| Prediction breakthrough time of water coning in the fractured reservoirs by implementing low parameter support vector machine approach MA Ahmadi, M Ebadi, SM Hosseini Fuel 117, 579-589, 2014 | 159 | 2014 |
| Connectionist model predicts the porosity and permeability of petroleum reservoirs by means of petro-physical logs: application of artificial intelligence MA Ahmadi, MR Ahmadi, SM Hosseini, M Ebadi Journal of Petroleum Science and Engineering 123, 183-200, 2014 | 148 | 2014 |
| Evolving smart approach for determination dew point pressure through condensate gas reservoirs MA Ahmadi, M Ebadi Fuel 117, 1074-1084, 2014 | 145 | 2014 |
| Evolving predictive model to determine condensate-to-gas ratio in retrograded condensate gas reservoirs MA Ahmadi, M Ebadi, PS Marghmaleki, MM Fouladi Fuel 124, 241-257, 2014 | 125 | 2014 |
| Robust intelligent tool for estimating dew point pressure in retrograded condensate gas reservoirs: application of particle swarm optimization MA Ahmadi, M Ebadi, A Yazdanpanah Journal of Petroleum Science and Engineering 123, 7-19, 2014 | 80 | 2014 |
| Deep learning in denoising of micro-computed tomography images of rock samples M Sidorenko, D Orlov, M Ebadi, D Koroteev Computers & Geosciences 151, 104716, 2021 | 40 | 2021 |
| Fuzzy modeling and experimental investigation of minimum miscible pressure in gas injection process MA Ahmadi, M Ebadi Fluid Phase Equilibria 378, 1-12, 2014 | 36 | 2014 |
| Phase equilibrium modeling of clathrate hydrates of carbon dioxide+ 1, 4-dioxine using intelligent approaches MA Ahmadi, M Ebadi, A Samadi, MZ Siuki Journal of Dispersion Science and Technology 36 (2), 236-244, 2015 | 34 | 2015 |
| Different methods of permeability calculation in digital twins of tight sandstones D Orlov, M Ebadi, E Muravleva, D Volkhonskiy, A Erofeev, E Savenkov, ... Journal of Natural Gas Science and Engineering 87, 103750, 2021 | 32 | 2021 |
| A CNN-based approach for upscaling multiphase flow in digital sandstones J Siavashi, A Najafi, M Ebadi, M Sharifi Fuel 308, 122047, 2022 | 30 | 2022 |
| Upscaling permeability anisotropy in digital sandstones using convolutional neural networks A Najafi, J Siavashi, M Ebadi, M Sharifi, J Fahimpour, D Koroteev Journal of Natural Gas Science and Engineering 96, 104263, 2021 | 20 | 2021 |
| A novel approach for solving nonlinear flow equations: The next step towards an accurate assessment of shale gas resources Y Bezyan, M Ebadi, S Gerami, R Rafati, M Sharifi, D Koroteev Fuel 236, 622-635, 2019 | 19 | 2019 |
| Lift the veil of secrecy in sub-resolved pores by Xe-enhanced computed tomography M Ebadi, D Orlov, V Alekseev, A Burukhin, V Krutko, D Koroteev Fuel 328, 125274, 2022 | 17 | 2022 |
| A nonlinear solver based on an adaptive neural network, introduction and application to porous media flow M Ebadi, SH Zabihifar, Y Bezyan, D Koroteev Journal of Natural Gas Science and Engineering 87, 103749, 2021 | 17 | 2021 |
| Strengthening the Digital Rock Physics, Using Downsampling for Sub-Resolved Pores in Tight Sandstones M Ebadi, D Orlov, I Makhotin, V Krutko, B Belozerov, D Koroteev Journal of Natural Gas Science and Engineering 89, 103869, 2021 | 16 | 2021 |
| Using computational fluid dynamics to compute the pore-scale CO2-brine relative permeability A Najafi, J Siavashi, M Ebadi, D Orlov, M Sharifi, J Fahimpour, ... Fuel 341, 127715, 2023 | 15 | 2023 |
| Application of fuzzy decision tree analysis for prediction asphaltene precipitation due natural depletion; case study M Ebadi, MA Ahmadi, K Hikoei, N Rashidinia Australian Journal of Basic and Applied Sciences 6 (0), 190-7, 2012 | 13 | 2012 |
| A new approach based on the Zernike radial polynomials for numerical solution of the fractional diffusion-wave and fractional Klein–Gordon equations MA Ebadi, E Hashemizadeh Physica Scripta 93 (12), 125202, 2018 | 8 | 2018 |
| Application fuzzy decision tree analysis for prediction condensate gas ratio: case study M Ebadi, MA Ahmadi, S Gerami, R Askarinezhad International Journal of Computer Applications 39 (8), 23-28, 2012 | 8 | 2012 |
Dmitry KoroteevProfessor, Skolkovo Institute of Science and Technologyایمیل تأیید شده در skoltech.ru
