| Estimation of subsurface rock properties from seismic inversion and geo-statistical methods over F3-block, Netherland PK Kushwaha, SP Maurya, P Rai, NP Singh Exploration Geophysics 52 (3), 258-272, 2021 | 21 | 2021 |
| Porosity prediction from offshore seismic data of F3 Block, the Netherlands using multi-layer feed-forward neural network PRAIANDNPS PRABODH KUMAR KUSHWAHA, S P MAURYA CURRENT SCIENCE 119 (10), 1652-1662, 2020 | 11 | 2020 |
| Use of maximum likelihood sparse spike inversion and probabilistic neural network for reservoir characterization: a study from F-3 block, the Netherlands PK Kushwaha, SP Maurya, NP Singh, P Rai Journal of Petroleum Exploration and Production Technology 10, 829-845, 2019 | 11 | 2019 |
| Qualitative and quantitative comparison of the genetic and hybrid genetic algorithm to estimate acoustic impedance from post-stack seismic data of Blackfoot field, Canada SP Maurya, R Singh, P Mahadasu, UP Singh, KH Singh, R Singh, ... Geophysical Journal International 233 (2), 932-949, 2023 | 9 | 2023 |
| Estimating subsurface petro-physical properties from raw and conditioned seismic reflection data: A comparative study PK Kushwaha, SP Maurya, NP Singh, P Rai Journal of Indian Geophysical Union 23 (4), 285-306, 2019 | 9 | 2019 |
| Application of maximum likelihood and model-based seismic inversion techniques: a case study from KG basin, India Richa, SP Maurya, KH Singh, R Singh, R Kumar, PK Kushwaha Journal of Petroleum Exploration and Production Technology, 1-19, 2022 | 8 | 2022 |
| Comparison of neural networks techniques to predict subsurface parameters based on seismic inversion: a machine learning approach N Verma, SP Maurya, KH Singh, R Singh, AP Singh, G Hema, ... Earth Science Informatics, 1-22, 2024 | 4 | 2024 |
| Prediction of petrophysical parameters using probabilistic neural network technique PK Kushwaha, SP Maurya, P Rai, NP Singh Basics of Computational Geophysics, 273-292, 2020 | 4 | 2020 |
| Integrated thin layer classification and reservoir characterization using sparse layer reflectivity inversion and radial basis function neural network: a case study R Singh, A Srivastava, R Kant, SP Maurya, P Mahadasu, N Verma, ... Marine Geophysical Research 45 (1), 3, 2024 | 3 | 2024 |
| Use of Maximum Likelihood Sparse Spike Inversion for Reservoir Characterization-A Case Study from F-3 Block, Netherland PK Kushwaha, SP Maurya, P Rai, NP Singh Jour. of Geophysics 40 (3), 127-133, 2019 | 3 | 2019 |
| Prediction of acoustic impedance and density porosity using seismic inversion, and geostatistical methods on Krishna Godavari basin, India: A case study SP Maurya, KH Singh, P Mahadasu, AP Singh, G Hema, PK Kushwaha, ... Journal of Applied Geophysics 219, 105237, 2023 | 2 | 2023 |
| Estimation of Petrophysical Properties Using Linear Programming Sparse Spike Inversion and Deep Feed-Forward Neural Network Techniques Over F3 Block, Netherlands: A Case Study R Singh, PK Kushwaha, SP Maurya, P Rai Pure and Applied Geophysics 181 (3), 935-952, 2024 | 1 | 2024 |
| Electric Field Enhancement by Gold Nano-Sphere and Its Clusters PK Kushwaha, KY Singh, HS Mahor, PK Singh, R Sharma, KD Sharma East European Journal of Physics, 388-393, 2024 | | 2024 |
| Reservoir characterisation using hybrid optimisation of genetic algorithm and pattern search to estimate porosity and impedance volume from post-stack seismic data: A case study N Verma, SP Maurya, R Kant, KH Singh, R Singh, AP Singh, G Hema, ... Journal of Earth System Science 133 (2), 90, 2024 | | 2024 |
| Reservoir Characterization using seismic and well Log Data PK Kushwaha IIT (BHU), Varanasi, 2020 | | 2020 |
| Comparison of Band-limited and Colored Seismic inversion methods to estimate acoustic impedance of F3 block Netherlands-A case study PK Kushwaha, SP Richa, Maurya, P Rai, NP Singh 13th Biennial International Conference and Exhibition, Society of Petroleum …, 2020 | | 2020 |
