| Application of supervised machine learning paradigms in the prediction of petroleum reservoir properties: Comparative analysis of ANN and SVM models DA Otchere, TOA Ganat, R Gholami, S Ridha Journal of Petroleum Science and Engineering 200, 108182, 2021 | 451 | 2021 |
| A comprehensive review of nanoparticles: Effect on water-based drilling fluids and wellbore stability AH Abdullah, S Ridha, DF Mohshim, M Yusuf, H Kamyab, S Krishna, ... Chemosphere 308, 136274, 2022 | 83 | 2022 |
| Dispersion stability and surface tension of SDS-Stabilized saline nanofluids with graphene nanoplatelets SU Ilyas, S Ridha, FAA Kareem Colloids and Surfaces A: Physicochemical and Engineering Aspects 592, 124584, 2020 | 73 | 2020 |
| Dynamic viscosity of Titania nanotubes dispersions in ethylene glycol/water-based nanofluids: experimental evaluation and predictions from empirical correlation and artificial … A Ali, SU Ilyas, S Garg, M Alsaady, K Maqsood, R Nasir, A Abdulrahman, ... International Communications in Heat and Mass Transfer 118, 104882, 2020 | 46 | 2020 |
| Impact of nanoparticles–surfactant solutions on carbon dioxide and methane wettabilities of organic-rich shale and CO2/brine interfacial tension: Implication for carbon … N Yekeen, JA Khan, M Ali, KA Elraies, OA Okunade, S Ridha, A Al-Yaseri Energy Reports 8, 15669-15685, 2022 | 43 | 2022 |
| Conventional and intelligent models for detection and prediction of fluid loss events during drilling operations: A comprehensive review S Krishna, S Ridha, P Vasant, SU Ilyas, A Sophian Journal of Petroleum Science and Engineering 195, 107818, 2020 | 37 | 2020 |
| An integrated workflow to characterize and evaluate low resistivity pay and its phenomenon in a sandstone reservoir E Pratama, M Suhaili Ismail, S Ridha Journal of Geophysics and Engineering 14 (3), 513-519, 2017 | 34 | 2017 |
| Rheological behavior of stabilized diamond-graphene nanoplatelets hybrid nanosuspensions in mineral oil SU Ilyas, S Ridha, S Sardar, P Estellé, A Kumar, R Pendyala Journal of Molecular Liquids 328, 115509, 2021 | 33 | 2021 |
| Strength prediction of Class G oilwell cement during early ages by electrical conductivity S Ridha, S Irawan, B Ariwahjoedi Journal of Petroleum Exploration and Production Technology 3, 303-311, 2013 | 33 | 2013 |
| Advancing engineering frontiers with NiTi shape memory alloys: A multifaceted review of properties, fabrication, and application potentials A Amadi, M Mohyaldinn, S Ridha, V Ola Journal of Alloys and Compounds 976, 173227, 2024 | 32 | 2024 |
| Influence of degree of dispersion of noncovalent functionalized graphene nanoplatelets on rheological behaviour of aqueous drilling fluids A Ibrahim, S Ridha, A Amer, R Shahari, T Ganat International Journal of Chemical Engineering 2019 (1), 8107168, 2019 | 32 | 2019 |
| Machine learning methods for herschel–bulkley fluids in annulus: Pressure drop predictions and algorithm performance evaluation A Kumar, S Ridha, T Ganet, P Vasant, SU Ilyas Applied Sciences 10 (7), 2588, 2020 | 30 | 2020 |
| The Strength Compatibility of Nano-SiO2 Geopolymer cement for oil well under HPHT conditions S Ridha, U Yerikania Journal of Civil Engineering Research 5 (4A), 6-10, 2015 | 29 | 2015 |
| Physics-guided deep neural network to characterize non-Newtonian fluid flow for optimal use of energy resources A Kumar, S Ridha, M Narahari, SU Ilyas Expert Systems with Applications 183, 115409, 2021 | 28 | 2021 |
| New nano-geopolymer cement system improves wellbore integrity upon acidizing job: experimental findings S Ridha, U Yerikania SPE Asia Pacific Oil and Gas Conference and Exhibition, SPE-176419-MS, 2015 | 28 | 2015 |
| Multi-objective optimization of thermophysical properties of multiwalled carbon nanotubes based nanofluids K Maqsood, A Ali, SU Ilyas, S Garg, M Danish, A Abdulrahman, ... Chemosphere 286, 131690, 2022 | 25 | 2022 |
| Graphene nanoplatelets as high-performance filtration control material in water-based drilling fluids S Ridha, A Ibrahim, R Shahari, S Fonna IOP Conference Series: Materials Science and Engineering 352, 012025, 2018 | 25 | 2018 |
| An optimum drill bit selection technique using artificial neural networks and genetic algorithms to increase the rate of penetration M Momeni, SJ Hosseini, S Ridha, MB Laruccia, X Liu Journal of Engineering Science and Technology 13 (2), 361-372, 2018 | 25 | 2018 |
| Experimental investigation of high-viscosity oil–water flow in vertical pipes: flow patterns and pressure gradient T Ganat, S Ridha, M Hairir, J Arisa, R Gholami Journal of Petroleum Exploration and Production Technology 9, 2911-2918, 2019 | 24 | 2019 |
| Improving the performance of invert emulsion drilling fluid using boron nitride and graphene nanoplatelets for drilling of unconventional high-temperature shale formations AH Arain, S Ridha, ME Mohyaldinn, RR Suppiah Journal of Molecular Liquids 363, 119806, 2022 | 22 | 2022 |
Suhaib Umer IlyasUniversity of Jeddah, Universiti Teknologi PETRONASПідтверджена електронна адреса в uj.edu.sa
