| Influence of pH on dynamics of microbial enhanced oil recovery processes using biosurfactant producing Pseudomonas putida: Mathematical modelling and numerical simulation P Sivasankar, G Suresh Kumar Bioresource Technology 224, 498-508, 2017 | 40 | 2017 |
| Numerical modelling of enhanced oil recovery by microbial flooding under non-isothermal conditions P Sivasankar, GS Kumar Journal of Petroleum Science and Engineering 124, 161-172, 2014 | 38 | 2014 |
| Numerical modelling of biophysicochemical effects on multispecies reactive transport in porous media involving Pseudomonas putida for potential microbial enhanced oil recovery … P Sivasankar, AR Kanna, GS Kumar, SN Gummadi Bioresource Technology 211, 348-359, 2016 | 24 | 2016 |
| Influence of Bio-Clogging Induced Formation Damage on Performance of Microbial Enhanced Oil Recovery Processes P Sivasankar, G Suresh Kumar Fuel 236, 100-109, 2019 | 23 | 2019 |
| Modelling the influence of interaction between injection and formation brine salinities on in-situ microbial enhanced oil recovery processes by coupling of multiple-ion … P Sivasankar, G Suresh Kumar Journal of Petroleum Science and Engineeirng 163, 435-452, 2018 | 19 | 2018 |
| Numerical Modelling of Microbial Enhanced Oil Recovery Process Under the Effect of Reservoir Temperature, pH and Microbial Sorption Kinetics P Sivasankar, SK Govindarajan SPE Asia Pacific Enhanced Oil Recovery Conference, Malaysia., 2015 | 17 | 2015 |
| Food Distribution and Management System Using Biometric Technique (Fdms) G Prakash, PT Sivasankar Advances in Communication, Network, and Computing: Third International …, 2012 | 15 | 2012 |
| Accelerating Dissolution Trapping by Low Saline WAG Injection Scenario R Vivek, P Sivasankar, G SureshKumar Energy Procedia 114, 5038-5047, 2017 | 12 | 2017 |
| Modelling the Coupled Effects of Temperature, Injection Rate and Microbial Kinetic Parameters on Oil Recovery by Microbial Flooding P Sivasankar, SK Govindarajan SPE Annual Technical Symposium and Exhibition, 2016 | 11 | 2016 |
| Predicting performance of in-situ microbial enhanced oil recovery process and screening of suitable microbe-nutrient combination from limited experimental data using physics … S Pavan, K Arvind, B Nikhil, P Sivasankar Bioresource Technology 351, 2022 | 8 | 2022 |
| International Conference on Advances in Communication, Network, and Computing G Prakash, PT Sivasankar Springer, 2012 | 7 | 2012 |
| Multi-Objective Particle Swarm Optimization Based Preprocessing of Multi-Class Extremely Imbalanced Datasets R Priya, R Sivaraj, A Abraham, T Pravin, P Sivasankar, N Anitha International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2022 | 6 | 2022 |
| Improved empirical relations for estimating original oil in place recovered during microbial enhanced oil recovery under varied salinity conditions P Sivasankar, G Suresh Kumar Petroleum Science and Technology 35 (21), 2036-2043, 2017 | 6 | 2017 |
| Sustainable drilling operations by utilizing waste biomass as a lost circulation additive H Ganesh, P Sivasankar, S Pandian, A Sircar Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2019 | 5 | 2019 |
| Analysis on CO2 emissions, green hydrogen requirement and geo-storage potential of hydrogen for decarbonization of industrial operations in southeastern coast of India P Nikhil, GB Prakash, K Kavyasri, P Sivasankar International Journal of Hydrogen Energy 52, 1507-1521, 2024 | 1 | 2024 |
| Exergy based assessment for decarbonization of CO2 foam flooding enhanced oil recovery process and energy transition with hydrogen N Dinesh, P Sivasankar International Journal of Hydrogen Energy 52, 1522-1536, 2024 | | 2024 |
| Application of Bio-surfactant Produced by Pseudomonas aeruginosa MTCC 16036 for Remediation of Petroleum Sludge R Kanna, P Sivasankar, S Kalpana European Chemical Bulletin 12 (5), 1883 - 1896, 2023 | | 2023 |
| Numerical modelling on in-situ bio-remediation of petroleum hydrocarbon contaminated groundwater aquifer by microbial flooding P Sivasankar, P Sivakumar, H Ganesh, A Sircar | | |
| Physics Informed Neural Network Model for Uncertainty Quantification and Probabilistic Prediction of Enhanced Oil Recovery by Microbial Process P Sivasankar, J Revanth, PS Pavan Available at SSRN 4267009, 0 | | |
Suresh Kumar GovindarajanProfessor (HAG) - Reservoir Simulation Laboratory, Petroleum Engineering Programme, IIT- MadrasVerified email at iitm.ac.in
