| Nanoparticle applications as beneficial oil and gas drilling fluid additives: A review M Al-Shargabi, S Davoodi, DA Wood, A Al-Musai, VS Rukavishnikov, ... Journal of Molecular Liquids 352, 118725, 2022 | 73 | 2022 |
| A geomechanical approach to casing collapse prediction in oil and gas wells aided by machine learning N Mohamadian, H Ghorbani, DA Wood, M Mehrad, S Davoodi, S Rashidi, ... Journal of Petroleum Science and Engineering 196, 107811, 2021 | 73 | 2021 |
| Experimental and field applications of nanotechnology for enhanced oil recovery purposes: A review S Davoodi, M Al-Shargabi, DA Wood, VS Rukavishnikov, KM Minaev Fuel 324, 124669, 2022 | 67 | 2022 |
| Carbon dioxide applications for enhanced oil recovery assisted by nanoparticles: Recent developments M Al-Shargabi, S Davoodi, DA Wood, VS Rukavishnikov, KM Minaev ACS omega 7 (12), 9984-9994, 2022 | 64 | 2022 |
| A novel field applicable mud formula with enhanced fluid loss properties in high pressure-high temperature well condition containing pistachio shell powder S Davoodi, AR SA, S Jamshidi, AF Jahromi Journal of Petroleum Science and Engineering 162, 378-385, 2018 | 62 | 2018 |
| Application of a novel acrylamide copolymer containing highly hydrophobic comonomer as filtration control and rheology modifier additive in water-based drilling mud S Davoodi, AR SA, A Soleimanian, AF Jahromi Journal of Petroleum Science and Engineering 180, 747-755, 2019 | 60 | 2019 |
| Application of sustainable saffron purple petals as an eco-friendly green additive for drilling fluids: A rheological, filtration, morphological, and corrosion inhibition study S Ghaderi, SA Haddadi, S Davoodi, M Arjmand Journal of Molecular Liquids 315, 113707, 2020 | 51 | 2020 |
| Determination of bubble point pressure & oil formation volume factor of crude oils applying multiple hidden layers extreme learning machine algorithms S Rashidi, M Mehrad, H Ghorbani, DA Wood, N Mohamadian, ... Journal of Petroleum Science and Engineering 202, 108425, 2021 | 47 | 2021 |
| Predicting formation pore-pressure from well-log data with hybrid machine-learning optimization algorithms M Farsi, N Mohamadian, H Ghorbani, DA Wood, S Davoodi, J Moghadasi, ... Natural Resources Research 30, 3455-3481, 2021 | 46 | 2021 |
| Novel hybrid machine learning optimizer algorithms to prediction of fracture density by petrophysical data M Rajabi, S Beheshtian, S Davoodi, H Ghorbani, N Mohamadian, ... Journal of Petroleum Exploration and Production Technology 11 (12), 4375-4397, 2021 | 43 | 2021 |
| Robust hybrid machine learning algorithms for gas flow rates prediction through wellhead chokes in gas condensate fields ARB Abad, H Ghorbani, N Mohamadian, S Davoodi, M Mehrad, ... Fuel 308, 121872, 2022 | 42 | 2022 |
| Prediction of oil flow rate through orifice flow meters: Optimized machine-learning techniques M Farsi, HS Barjouei, DA Wood, H Ghorbani, N Mohamadian, S Davoodi, ... Measurement 174, 108943, 2021 | 41 | 2021 |
| Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs ARB Abad, S Mousavi, N Mohamadian, DA Wood, H Ghorbani, S Davoodi, ... Journal of Natural Gas Science and Engineering 95, 104210, 2021 | 40 | 2021 |
| Review of technological progress in carbon dioxide capture, storage, and utilization S Davoodi, M Al-Shargabi, DA Wood, VS Rukavishnikov, KM Minaev Gas Science and Engineering, 205070, 2023 | 36 | 2023 |
| Predicting oil flow rate through orifice plate with robust machine learning algorithms ARB Abad, PS Tehrani, M Naveshki, H Ghorbani, N Mohamadian, ... Flow Measurement and Instrumentation 81, 102047, 2021 | 36 | 2021 |
| Study of void space structure and its influence on carbonate reservoir properties: X-ray microtomography, electron microscopy, and well testing DA Martyushev, IN Ponomareva, AS Chukhlov, S Davoodi, BM Osovetsky, ... Marine and Petroleum Geology 151, 106192, 2023 | 35 | 2023 |
| Prediction performance advantages of deep machine learning algorithms for two-phase flow rates through wellhead chokes HS Barjouei, H Ghorbani, N Mohamadian, DA Wood, S Davoodi, ... Journal of Petroleum Exploration and Production 11 (3), 1233-1261, 2021 | 34 | 2021 |
| Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms M Rajabi, O Hazbeh, S Davoodi, DA Wood, PS Tehrani, H Ghorbani, ... Journal of Petroleum Exploration and Production Technology 13 (1), 19-42, 2023 | 32 | 2023 |
| Adaptive neuro-fuzzy algorithm applied to predict and control multi-phase flow rates through wellhead chokes H Ghorbani, DA Wood, N Mohamadian, S Rashidi, S Davoodi, ... Flow Measurement and Instrumentation 76, 101849, 2020 | 32 | 2020 |
| A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques G Zhang, S Davoodi, SS Band, H Ghorbani, A Mosavi, M Moslehpour Energy Reports 8, 2233-2247, 2022 | 29 | 2022 |
