| A comprehensive review of nanoparticles in water-based drilling fluids on wellbore stability AH Abdullah, S Ridha, DF Mohshim, M Yusuf, H Kamyab, S Krishna, ... Chemosphere, 136274, 2022 | 44 | 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 | 21 | 2020 |
| Simplified predictive model for downhole pressure surges during tripping operations using power law drilling fluids S Krishna, S Ridha, P Vasant, SU Ilyas, TN Ofei Journal of Energy Resources Technology 142 (12), 123001, 2020 | 12 | 2020 |
| Synthesis and application of cellulose acetate-acrylic acid-acrylamide composite for removal of toxic methylene blue dye from aqueous solution J Rana, G Goindi, N Kaur, S Krishna, A Kakati Journal of Water Process Engineering 49, 103102, 2022 | 11 | 2022 |
| Explicit flow velocity modelling of yield power-law fluid in concentric annulus to predict surge and swab pressure gradient for petroleum drilling applications S Krishna, S Ridha, P Vasant, SU Ilyas, S Irawan, R Gholami Journal of Petroleum Science and Engineering, 2020 | 11 | 2020 |
| Experimental evaluation of surge/swab pressure in varying annular eccentricities using non-Newtonian fluid under Couette-Poiseuille flow for drilling applications S Krishna, S Ridha, S Campbell, SU Ilyas, I Dzulkarnain, M Abdurrahman Journal of Petroleum Science and Engineering 206, 108982, 2021 | 8 | 2021 |
| Prediction of Bottom-Hole Pressure Differential During Tripping Operations Using Artificial Neural Networks (ANN) S Krishna, S Ridha, P Vasant Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS …, 2021 | 7 | 2021 |
| ‘Emerging applications of nanotechnology in oil and gas industry RK Pandey, S Krishna, J Rana, NK Hazarika International Journal For Technological Research in Engineering 3, 2347-4718, 2016 | 7 | 2016 |
| Performance investigation of a drag-based hydrokinetic turbine considering the effect of deflector, flow velocity, and blade shape NR Maldar, NC Yee, E Oguz, S Krishna Ocean Engineering 266, 112765, 2022 | 6 | 2022 |
| Application of Deep Learning Technique to Predict Downhole Pressure Differential in Eccentric Annulus of Ultra-Deep Well S Krishna, S Ridha, SU Ilyas, S Campbell, U Bhan, M Bataee International Conference on Offshore Mechanics and Arctic Engineering 85208 …, 2021 | 4 | 2021 |
| New Analytical Approach for Predicting Surge/Swab Pressure Gradient Using Mud Clinging Effect and Frictional Pressure Losses: for Yield Power Law Fluid S Krishna, S Ridha, P Vasant, SU Ilyas Offshore Technology Conference Asia, 2020 | 3 | 2020 |
| Application of machine learning to determine the shear stress and filtration loss properties of nano-based drilling fluid YC Ning, S Ridha, SU Ilyas, S Krishna, I Dzulkarnain, M Abdurrahman Journal of Petroleum Exploration and Production Technology 13 (4), 1031-1052, 2023 | 1 | 2023 |
| Ultrasound Velocity Profiling Technique for In-line Rheological Measurements: A Prospective Review S Krishna, G Thonhauser, S Kumar, A Elmgerbi, K Ravi Measurement, 112152, 2022 | 1 | 2022 |
| Shear Stress and Filtration Loss Properties Assessment of Nano-Silica Water-Based Drilling Fluid using Machine Learning Approaches YC Ning, S Ridha, SU Ilyas, S Krishna, M Abdurrahman Journal of Energy Resources Technology, 1-33, 2021 | | 2021 |
| EXPERIMENTAL INVESTIGATION AND MODELLING OF SURGE/SWAB PRESSURE FOR NON-NEWTONIAN FLUIDS S KRISHNA Universiti Teknologi PETRONAS, 2021 | | 2021 |
| Development of DNN Model for Predicting Surge Pressure Gradient During Tripping Operations S Krishna, S Ridha, P Vasant Handbook of Research on Smart Technology Models for Business and Industry …, 2020 | | 2020 |
Syahrir RidhaPetroleum Engineering, Universiti Teknologi PETRONASVerified email at utp.edu.my
