| Identifying Applications of Machine Learning and Data Analytics Based Approaches for Optimization of Upstream Petroleum Operations R Kumar Pandey, A Kumar Dahiya, A Mandal Energy Technology 9 (1), 2021 | 31 | 2021 |
| A robust deep structured prediction model for petroleum reservoir characterization using pressure transient test data RK Pandey, A Kumar, A Mandal Petroleum Research, 2022 | 21 | 2022 |
| Employing deep learning neural networks for characterizing dual-porosity reservoirs based on pressure transient tests RK Pandey, A Kumar, A Mandal, B Vaferi J. Energy Resour. Technol., 1-23, 2022 | 21* | 2022 |
| Metaheuristic algorithm integrated neural networks for well-test analyses of petroleum reservoirs RK Pandey, S Aggarwal, G Nath, A Kumar, B Vaferi Scientific Reports 12, 2022 | 19 | 2022 |
| Genetic algorithm optimization of deep structured classifier-predictor models for pressure transient analysis RK Pandey, A Kumar, A Mandal, B Vaferi Journal of Energy Resource Technology, 2023 | 17 | 2023 |
| Optimized deep learning model assisted pressure transient analysis for automatic reservoir characterization RK Pandey, AK Dahiya, AK Pandey, A Mandal Petroleum Science and Technology, 2021 | 12 | 2021 |
| Supervised deep learning-based paradigm to screen the enhanced oil recovery scenarios RK Pandey, A Gandomkar, B Vaferi, A Kumar, F Torabi Scientific Reports 13, 2023 | 11 | 2023 |
| Machine learning and data mining assisted petroleum reservoir engineering: a comprehensive review R Purbey, H Parijat, D Agarwal, D Mitra, R Agarwal, RK Pandey, ... International Journal of Oil, Gas and Coal Technology 30 (4), 359-387, 2022 | 10 | 2022 |
| Thermodynamic modeling of equilibrium conditions of CH4/CO2/N2 clathrate hydrate in presence of aqueous solution of sodium chloride inhibitor RK Pandey, H Kakati, A Mandal Petroleum Science and Technology 35 (10), 947-954, 2017 | 9 | 2017 |
| Sequential Modeling for Automatic Interpretation of Pressure Transient Test RK Pandey, A Kumar, R Ganju 2021 9th International Conference on Reliability, Infocom Technologies and …, 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 |
| Effect of Genetic Algorithm in Optimizing Deep Structured Petroleum Reservoir Classifier RK Pandey, A Kumar, AK Sharma, RK Sharma, HHC Nguyen IEEE 7th International Conference on Computing, Communication and Security …, 2022 | 3 | 2022 |
| Applying a deep-learning surrogate model to simulate and compare achievable oil recovery by different waterflood scenarios V Singh, N Ruwali, RK Pandey, B Vaferi, DA Wood Petroleum Science and Technology 41 (24), 2023 | 1 | 2023 |
| A Systematic Deep Learning Approach to Forecast Nifty50 Index Trend D Garg, RK Pandey, P Tiwari 2023 11th International Conference on Intelligent Systems and Embedded …, 2024 | | 2024 |
| Forecasting cumulative oil recovery from waterflood using a deep proxy model V Singh, N Ruwali, RK Pandey, AK Dahiya 2023 14th International Conference on Computing Communication and Networking …, 2023 | | 2023 |
| PSO-tuned support vector classifier based Nifty50 index movement prediction using market positions and sentiment scores D Garg, RK Pandey, P Tiwari 2023 14th International Conference on Computing Communication and Networking …, 2023 | | 2023 |
Ajay MandalProfessor & Head, Department of Petroleum Engineering, Indian Institute of Technology (ISM), DhanbadVerified email at iitism.ac.in
