Studies on behavior of suspension of silica nanoparticle in aqueous polyacrylamide solution for application in enhanced oil recovery NK Maurya, A Mandal Petroleum Science and Technology 34 (5), 429-436, 2016 | 157 | 2016 |
Investigation of synergistic effect of nanoparticle and surfactant in macro emulsion based EOR application in oil reservoirs NK Maurya, A Mandal Chemical Engineering Research and Design 132, 370-384, 2018 | 134 | 2018 |
Studies on interfacial and rheological properties of water soluble polymer grafted nanoparticle for application in enhanced oil recovery NK Maurya, P Kushwaha, A Mandal Journal of the Taiwan Institute of Chemical Engineers 70, 319-330, 2017 | 122 | 2017 |
Synthesis and characterization of sodium methyl ester sulfonate for chemically-enhanced oil recovery K Babu, NK Maurya, A Mandal, VK Saxena Brazilian Journal of Chemical Engineering 32, 795-803, 2015 | 61 | 2015 |
Experimental investigation of silica nanoparticle assisted Surfactant and polymer systems for enhanced oil recovery D Joshi, NK Maurya, N Kumar, A Mandal Journal of Petroleum Science and Engineering 216, 110791, 2022 | 60 | 2022 |
A mechanistic study of low salinity water-based nanoparticle-polymer complex fluid for improved oil recovery in sandstone reservoirs RK Saw, A Singh, NK Maurya, A Mandal Colloids and Surfaces A: Physicochemical and Engineering Aspects 666, 131308, 2023 | 23 | 2023 |
Experimental studies on effectiveness of graphene oxide nanosheets dispersion in water/aqueous PHPA for enhanced oil recovery D Joshi, NK Maurya, A Mandal Journal of Molecular Liquids 387, 122728, 2023 | 13 | 2023 |
Machine learning approaches for formation matrix volume prediction from well logs: insights and lessons learned PVD Kannaiah, NK Maurya Geoenergy Science and Engineering 229, 212086, 2023 | 7 | 2023 |
Evaluation of Synergetic Rheological Behaviour of Polymer and Silica Nanofluids for Enhanced Oil Recovery D Joshi, NK Maurya, A Mandal SPE Annual Technical Conference and Exhibition?, D011S999R008, 2023 | 1 | 2023 |
Predicting flow in porous media: a comparison of physics-driven neural network approaches SL Dangi, V Karaliūtė, NK Maurya, M Pal Mathematical Models in Engineering 9 (2), 52-71, 2023 | 1 | 2023 |
A Study on the Thermodynamic, Rheological, and Electrical Properties of Hydrate Inhibitors: Implications for Natural Gas Production and Flow Assurance P Gupta, S Krishna, NK Maurya Energy & Fuels, 2024 | | 2024 |